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stocks</title> <meta name="description" content="Search results for: marginable stocks"> <meta name="keywords" content="marginable stocks"> <meta name="viewport" content="width=device-width, initial-scale=1, minimum-scale=1, maximum-scale=1, user-scalable=no"> <meta charset="utf-8"> <link href="https://cdn.waset.org/favicon.ico" type="image/x-icon" rel="shortcut icon"> <link href="https://cdn.waset.org/static/plugins/bootstrap-4.2.1/css/bootstrap.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/plugins/fontawesome/css/all.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/css/site.css?v=150220211555" rel="stylesheet"> </head> <body> <header> <div class="container"> <nav class="navbar navbar-expand-lg navbar-light"> <a class="navbar-brand" href="https://waset.org"> <img src="https://cdn.waset.org/static/images/wasetc.png" alt="Open Science Research Excellence" title="Open Science Research Excellence" /> </a> <button class="d-block d-lg-none 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action="https://publications.waset.org/abstracts/search"> <div id="custom-search-input"> <div class="input-group"> <i class="fas fa-search"></i> <input type="text" class="search-query" name="q" placeholder="Author, Title, Abstract, Keywords" value="marginable stocks"> <input type="submit" class="btn_search" value="Search"> </div> </div> </form> </div> </div> <div class="row mt-3"> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Commenced</strong> in January 2007</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Frequency:</strong> Monthly</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Edition:</strong> International</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Paper Count:</strong> 196</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: marginable stocks</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">196</span> Shariah Perspective on Legal Framework and Practice of Margin Financing in Pakistan</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Anees%20Tahir">Anees Tahir</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Margin financing plays a significant role in Pakistan's stock market (PSX), offering investors the opportunity to maximize profits by borrowing funds from financiers to purchase marginable stocks. However, this financial practice raises several Shariah-related concerns. The study follows legal doctrinal research methodology. It explains and analyzes the law of margin financing prevailing in PSX and compares it with the principles of Shariah. It also examines and investigates the practices of margin financing from the perspective of Shariah. As part of the study, the researcher has conducted structured interviews with the Shariah advisors of the finance industry, academicians, market practitioners, and regulators. Thus, the study analyzes the findings of interviews. This article explores the legal framework and practice of margin financing in Pakistan from a Shariah perspective. The article investigates various issues relating to margin financing, including the fundamental concern of interest-based lending, which contravenes Islamic principles. It also highlights the problematic subject matter of margin financing, often involving non-Shariah compliant securities. Additionally, the article addresses the restriction on proprietary rights and the problematic element of speculation associated with margin financing. To provide a Shariah-compliant alternative, the Securities and Exchange Commission of Pakistan (SECP) introduced Murabahah Shares Financing (MSF) in 2019. However, the focus of the market is still on conventional margin financing. In the opinion of the researcher, the effective implementation of MSF is imperative because in the absence of such an alternative, the faith sensitive investor will remain deprived of a level playing field, and he is unable to get required financing opportunities through a halal and Shariah-compliant manner. This article argues that margin financing in its current form is incompatible with Shariah principles and should be discontinued. It is recommended that the SECP should gradually phase out the use of margin financing and increase reliance on MSF to provide faith-sensitive and committed investors with Shariah-compliant financing options. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=margin%20financing" title="margin financing">margin financing</a>, <a href="https://publications.waset.org/abstracts/search?q=marginable%20stocks" title=" marginable stocks"> marginable stocks</a>, <a href="https://publications.waset.org/abstracts/search?q=faith%20sensitive%20investor" title=" faith sensitive investor"> faith sensitive investor</a>, <a href="https://publications.waset.org/abstracts/search?q=Murabahah%20shares%20financing" title=" Murabahah shares financing"> Murabahah shares financing</a> </p> <a href="https://publications.waset.org/abstracts/178012/shariah-perspective-on-legal-framework-and-practice-of-margin-financing-in-pakistan" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/178012.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">72</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">195</span> Stock Characteristics and Herding Formation: Evidence from the United States Equity Market</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Chih-Hsiang%20Chang">Chih-Hsiang Chang</a>, <a href="https://publications.waset.org/abstracts/search?q=Fang-Jyun%20Su"> Fang-Jyun Su</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper explores whether stock characteristics influence the herding formation among investors in the US equity market. To extend the research scope of the existing literature, this paper further examines the role that stock risk characteristics play in the US equity market, and the way they influence investors’ decision-making. First, empirical results show that whether general stocks or high-risk stocks, there are no herding behaviors among the investors in the US equity market during the whole research period or during four great events. Moreover, stock characteristics have great influence on investors’ trading decisions. Finally, there is a bidirectional lead-lag relationship of the herding formation between high-risk stocks and low-risk stocks, but the influence of high-risk stocks on the low-risk stocks is stronger than that of low-risk stocks on the high-risk stocks. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=stock%20characteristics" title="stock characteristics">stock characteristics</a>, <a href="https://publications.waset.org/abstracts/search?q=herding%20formation" title=" herding formation"> herding formation</a>, <a href="https://publications.waset.org/abstracts/search?q=investment%20decision" title=" investment decision"> investment decision</a>, <a href="https://publications.waset.org/abstracts/search?q=US%20equity%20market" title=" US equity market"> US equity market</a>, <a href="https://publications.waset.org/abstracts/search?q=lead-lag%20relationship" title=" lead-lag relationship"> lead-lag relationship</a> </p> <a href="https://publications.waset.org/abstracts/78034/stock-characteristics-and-herding-formation-evidence-from-the-united-states-equity-market" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/78034.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">276</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">194</span> Price Promotions and Inventory Decisions</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=George%20Hadjinicola">George Hadjinicola</a>, <a href="https://publications.waset.org/abstracts/search?q=Andreas%20Soteriou"> Andreas Soteriou</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper examines the relationship between the number of price promotions that a firm should conduct per year and the level of safety stocks that the firm should maintain. Price promotions result in temporary sales increases, which affect the operations function through (1) an increase in the quantities demanded and (2) an increase in safety stocks required to maintain the desired service level. We propose a modeling framework where both price promotions and improved service levels, operationalized through higher safety stocks, can affect sales. We treat the annual number of promotions as a decision variable. We identify market conditions where the operations function, through improved safety stocks, can complement price promotions or even play the leading role in sales increases. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=price%20promotions" title="price promotions">price promotions</a>, <a href="https://publications.waset.org/abstracts/search?q=safety%20stocks" title=" safety stocks"> safety stocks</a>, <a href="https://publications.waset.org/abstracts/search?q=marketing%2Foperations%20interface" title=" marketing/operations interface"> marketing/operations interface</a>, <a href="https://publications.waset.org/abstracts/search?q=mathematical%20model" title=" mathematical model"> mathematical model</a> </p> <a href="https://publications.waset.org/abstracts/168984/price-promotions-and-inventory-decisions" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/168984.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">97</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">193</span> Evaluating Portfolio Performance by Highlighting Network Property and the Sharpe Ratio in the Stock Market</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Zahra%20Hatami">Zahra Hatami</a>, <a href="https://publications.waset.org/abstracts/search?q=Hesham%20Ali"> Hesham Ali</a>, <a href="https://publications.waset.org/abstracts/search?q=David%20Volkman"> David Volkman</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Selecting a portfolio for investing is a crucial decision for individuals and legal entities. In the last two decades, with economic globalization, a stream of financial innovations has rushed to the aid of financial institutions. The importance of selecting stocks for the portfolio is always a challenging task for investors. This study aims to create a financial network to identify optimal portfolios using network centralities metrics. This research presents a community detection technique of superior stocks that can be described as an optimal stock portfolio to be used by investors. By using the advantages of a network and its property in extracted communities, a group of stocks was selected for each of the various time periods. The performance of the optimal portfolios compared to the famous index. Their Sharpe ratio was calculated in a timely manner to evaluate their profit for making decisions. The analysis shows that the selected potential portfolio from stocks with low centrality measurement can outperform the market; however, they have a lower Sharpe ratio than stocks with high centrality scores. In other words, stocks with low centralities could outperform the S&P500 yet have a lower Sharpe ratio than high central stocks. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=portfolio%20management%20performance" title="portfolio management performance">portfolio management performance</a>, <a href="https://publications.waset.org/abstracts/search?q=network%20analysis" title=" network analysis"> network analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=centrality%20measurements" title=" centrality measurements"> centrality measurements</a>, <a href="https://publications.waset.org/abstracts/search?q=Sharpe%20ratio" title=" Sharpe ratio"> Sharpe ratio</a> </p> <a href="https://publications.waset.org/abstracts/148342/evaluating-portfolio-performance-by-highlighting-network-property-and-the-sharpe-ratio-in-the-stock-market" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/148342.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">156</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">192</span> Risk Spillover Between Stock Indices and Real Estate Mixed Copula Modeling</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Hina%20Munir%20Abbasi">Hina Munir Abbasi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The current paper examines the relationship and diversification ability of Islamic stock indices /conventional stocks indices and Real Estate Investment Trust (REITs).To represent conditional dependency between stocks and REITs in a more realistic way, new modeling technique, time-varying copula with switching dependence is used. It represents reliance structure more accurately and realistically than a single copula regime as dependence may alter between positive and negative correlation regimes with time. The fluctuating behavior of markets has significant impact on economic variables; especially the downward trend during crisis. Overall addition of Real Estate Investment Trust in stocks portfolio reduces risks and provide better diversification benefit. Results varied depending upon the circumstances of the country. REITs provides better diversification benefits for Islamic Stocks, when both markets are bearish and can provide hedging benefit for conventional stocks portfolio. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=conventional%20stocks" title="conventional stocks">conventional stocks</a>, <a href="https://publications.waset.org/abstracts/search?q=real%20estate%20investment%20trust" title=" real estate investment trust"> real estate investment trust</a>, <a href="https://publications.waset.org/abstracts/search?q=copula" title=" copula"> copula</a>, <a href="https://publications.waset.org/abstracts/search?q=diversification" title=" diversification"> diversification</a>, <a href="https://publications.waset.org/abstracts/search?q=risk%20spillover" title=" risk spillover"> risk spillover</a>, <a href="https://publications.waset.org/abstracts/search?q=safe%20heaven" title=" safe heaven"> safe heaven</a> </p> <a href="https://publications.waset.org/abstracts/164977/risk-spillover-between-stock-indices-and-real-estate-mixed-copula-modeling" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/164977.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">86</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">191</span> Detecting Financial Bubbles Using Gap between Common Stocks and Preferred Stocks</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Changju%20Lee">Changju Lee</a>, <a href="https://publications.waset.org/abstracts/search?q=Seungmo%20Ku"> Seungmo Ku</a>, <a href="https://publications.waset.org/abstracts/search?q=Sondo%20Kim"> Sondo Kim</a>, <a href="https://publications.waset.org/abstracts/search?q=Woojin%20Chang"> Woojin Chang</a> </p> <p class="card-text"><strong>Abstract:</strong></p> How to detecting financial bubble? Addressing this simple question has been the focus of a vast amount of empirical research spanning almost half a century. However, financial bubble is hard to observe and varying over the time; there needs to be more research on this area. In this paper, we used abnormal difference between common stocks price and those preferred stocks price to explain financial bubble. First, we proposed the ‘W-index’ which indicates spread between common stocks and those preferred stocks in stock market. Second, to prove that this ‘W-index’ is valid for measuring financial bubble, we showed that there is an inverse relationship between this ‘W-index’ and S&P500 rate of return. Specifically, our hypothesis is that when ‘W-index’ is comparably higher than other periods, financial bubbles are added up in stock market and vice versa; according to our hypothesis, if investors made long term investments when ‘W-index’ is high, they would have negative rate of return; however, if investors made long term investments when ‘W-index’ is low, they would have positive rate of return. By comparing correlation values and adjusted R-squared values of between W-index and S&P500 return, VIX index and S&P500 return, and TED index and S&P500 return, we showed only W-index has significant relationship between S&P500 rate of return. In addition, we figured out how long investors should hold their investment position regard the effect of financial bubble. Using this W-index, investors could measure financial bubble in the market and invest with low risk. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=financial%20bubble%20detection" title="financial bubble detection">financial bubble detection</a>, <a href="https://publications.waset.org/abstracts/search?q=future%20return" title=" future return"> future return</a>, <a href="https://publications.waset.org/abstracts/search?q=forecasting" title=" forecasting"> forecasting</a>, <a href="https://publications.waset.org/abstracts/search?q=pairs%20trading" title=" pairs trading"> pairs trading</a>, <a href="https://publications.waset.org/abstracts/search?q=preferred%20stocks" title=" preferred stocks"> preferred stocks</a> </p> <a href="https://publications.waset.org/abstracts/57248/detecting-financial-bubbles-using-gap-between-common-stocks-and-preferred-stocks" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/57248.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">368</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">190</span> Momentum in the Stock Exchange of Thailand</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mussa%20Hussaini">Mussa Hussaini</a>, <a href="https://publications.waset.org/abstracts/search?q=Supasith%20Chonglerttham"> Supasith Chonglerttham</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Stocks are usually classified according to their characteristics which are unique enough such that the performance of each category can be differentiated from another. The reasons behind such classifications in the financial market are sometimes financial innovation or it can also be because of finding a premium in a group of stocks with similar features. One of the major classifications in stocks market is called momentum strategy. Based on this strategy stocks are classified according to their past performances into past winners and past losers. Momentum in a stock market refers to the idea that stocks will keep moving in the same direction. In other word, stocks with rising prices (past winners stocks) will continue to rise and those stocks with falling prices (past losers stocks) will continue to fall. The performance of this classification has been well documented in numerous studies in different countries. These studies suggest that past winners tend to outperform past losers in the future. However, academic research in this direction has been limited in countries such as Thailand and to the best of our knowledge, there has been no such study in Thailand after the financial crisis of 1997. The significance of this study stems from the fact that Thailand is an open market and has been encouraging foreign investments as one of the means to enhance employment, promote economic development, and technology transfer and the main equity market in Thailand, the Stock Exchange of Thailand is a crucial channel for Foreign Investment inflow into the country. The equity market size in Thailand increased from $1.72 billion in 1984 to $133.66 billion in 1993, an increase of over 77 times within a decade. The main contribution of this paper is evidence for size category in the context of the equity market in Thailand. Almost all previous studies have focused solely on large stocks or indices. This paper extends the scope beyond large stocks and indices by including small and tiny stocks as well. Further, since there is a distinct absence of detailed academic research on momentum strategy in the Stock Exchange of Thailand after the crisis, this paper also contributes to the extension of existing literature of the study. This research is also of significance for those researchers who would like to compare the performance of this strategy in different countries and markets. In the Stock Exchange of Thailand, we examined the performance of momentum strategy from 2010 to 2014. Returns on portfolios are calculated on monthly basis. Our results on momentum strategy confirm that there is positive momentum profit in large size stocks whereas there is negative momentum profit in small size stocks during the period of 2010 to 2014. Furthermore, the equal weighted average of momentum profit of both small and large size category do not provide any indication of overall momentum profit. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=momentum%20strategy" title="momentum strategy">momentum strategy</a>, <a href="https://publications.waset.org/abstracts/search?q=past%20loser" title=" past loser"> past loser</a>, <a href="https://publications.waset.org/abstracts/search?q=past%20winner" title=" past winner"> past winner</a>, <a href="https://publications.waset.org/abstracts/search?q=stock%20exchange%20of%20Thailand" title=" stock exchange of Thailand"> stock exchange of Thailand</a> </p> <a href="https://publications.waset.org/abstracts/31787/momentum-in-the-stock-exchange-of-thailand" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/31787.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">318</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">189</span> Improving Order Quantity Model with Emergency Safety Stock (ESS)</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Yousef%20Abu%20Nahleh">Yousef Abu Nahleh</a>, <a href="https://publications.waset.org/abstracts/search?q=Alhasan%20Hakami"> Alhasan Hakami</a>, <a href="https://publications.waset.org/abstracts/search?q=Arun%20Kumar"> Arun Kumar</a>, <a href="https://publications.waset.org/abstracts/search?q=Fugen%20Daver"> Fugen Daver</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This study considers the problem of calculating safety stocks in disaster situations inventory systems that face demand uncertainties. Safety stocks are essential to make the supply chain, which is controlled by forecasts of customer needs, in response to demand uncertainties and to reach predefined goal service levels. To solve the problem of uncertainties due to the disaster situations affecting the industry sector, the concept of Emergency Safety Stock (ESS) was proposed. While there exists a huge body of literature on determining safety stock levels, this literature does not address the problem arising due to the disaster and dealing with the situations. In this paper, the problem of improving the Order Quantity Model to deal with uncertainty of demand due to disasters is managed by incorporating a new idea called ESS which is based on the probability of disaster occurrence and uses probability matrix calculated from the historical data. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Emergency%20Safety%20Stocks" title="Emergency Safety Stocks">Emergency Safety Stocks</a>, <a href="https://publications.waset.org/abstracts/search?q=safety%20stocks" title=" safety stocks"> safety stocks</a>, <a href="https://publications.waset.org/abstracts/search?q=Order%20Quantity%20Model" title=" Order Quantity Model"> Order Quantity Model</a>, <a href="https://publications.waset.org/abstracts/search?q=supply%20chain" title=" supply chain"> supply chain</a> </p> <a href="https://publications.waset.org/abstracts/3399/improving-order-quantity-model-with-emergency-safety-stock-ess" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/3399.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">349</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">188</span> Investment Decision among Public Sector Retirees: A Behavioural Finance View </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Bisi%20S.%20Olawoyin">Bisi S. Olawoyin </a> </p> <p class="card-text"><strong>Abstract:</strong></p> This study attempts an exploration into behavioural finance in which the traditional assumptions of expected utility maximization with rational investors in efficient markets are dropped. It reviews prior research and evidence about how psychological biases affect investors behaviour and stock selection. This study examined the relationship between demographic variables and financial behaviour biases among public sector retirees who invested in the Nigerian Stock Exchange prior to their retirement. By using questionnaire survey method, a total of 214 valid convenient samples were collected in order to determine how specific demographic and psychological trait affect stock selection between dividend paying and non-dividend paying stocks. Descriptive statistics and OLS were used to analyse the results. Findings showed that most of the retirees prefer dividend paying stocks in few years preceding their retirement but still hold on to their non-dividend paying stock on retirement. A significant difference also exists between senior and junior retirees in preference for non-dividend paying stocks. These findings are consistent with the clientele theories of dividend. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=behavioural%20finance" title="behavioural finance">behavioural finance</a>, <a href="https://publications.waset.org/abstracts/search?q=clientele%20theories" title=" clientele theories"> clientele theories</a>, <a href="https://publications.waset.org/abstracts/search?q=dividend%20paying%20stocks" title=" dividend paying stocks"> dividend paying stocks</a>, <a href="https://publications.waset.org/abstracts/search?q=stock%20selection" title=" stock selection"> stock selection</a> </p> <a href="https://publications.waset.org/abstracts/84208/investment-decision-among-public-sector-retirees-a-behavioural-finance-view" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/84208.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">145</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">187</span> Biomass and Carbon Stock Estimates of Woodlands in the Southeastern Escarpment of Ethiopian Rift Valley: An Implication for Climate Change Mitigation</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Sultan%20Haji%20Shube">Sultan Haji Shube</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Woodland ecosystems of semiarid rift valley of Ethiopia play a significant role in climate change mitigation by sequestering and storing more carbon. This study was conducted in Gidabo river sub-basins southeastern rift-valley escarpment of Ethiopian. It aims to estimate biomass and carbon stocks of woodlands and its implications for climate change mitigation. A total of 44 sampling plots (900m²each) were systematically laid in the woodland for vegetation and environmental data collection. A composite soil sample was taken from five locations main plot. Both disturbed and undisturbed soil samples were taken at two depths using soil auger and core-ring sampler, respectively. Allometric equation was used to estimate aboveground biomass while root-to-shoot ratio method and Walkley-Black method were used for belowground biomass and SOC, respectively. Result revealed that the totals of the study site was 17.05t/ha, of which 14.21t/ha was belonging for AGB and 2.84t/ha was for BGB. Moreover, 2224.7t/ha total carbon stocks was accumulated with an equivalent carbon dioxide of 8164.65t/ha. This study also revealed that more carbon was accumulated in the soil than the biomass. Both aboveground and belowground carbon stocks were decreased with increase in altitude while SOC stocks were increased. The AGC and BGC stocks were higher in the lower slope classes. SOC stocks were higher in the higher slope classes than in the lower slopes. Higher carbon stock was obtained from woody plants that had a DBH measure of >16cm and situated at plots facing northwest. Overall, study results will add up information about carbon stock potential of the woodland that will serve as a base line scenario for further research, policy makers and land managers. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=allometric%20equation" title="allometric equation">allometric equation</a>, <a href="https://publications.waset.org/abstracts/search?q=climate%20change%20mitigation" title=" climate change mitigation"> climate change mitigation</a>, <a href="https://publications.waset.org/abstracts/search?q=soil%20organic%20carbon" title=" soil organic carbon"> soil organic carbon</a>, <a href="https://publications.waset.org/abstracts/search?q=woodland" title=" woodland"> woodland</a> </p> <a href="https://publications.waset.org/abstracts/166118/biomass-and-carbon-stock-estimates-of-woodlands-in-the-southeastern-escarpment-of-ethiopian-rift-valley-an-implication-for-climate-change-mitigation" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/166118.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">83</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">186</span> Prediction of Dubai Financial Market Stocks Movement Using K-Nearest Neighbor and Support Vector Regression</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Abdulla%20D.%20Alblooshi">Abdulla D. Alblooshi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The stock market is a representation of human behavior and psychology, such as fear, greed, and discipline. Those are manifested in the form of price movements during the trading sessions. Therefore, predicting the stock movement and prices is a challenging effort. However, those trading sessions produce a large amount of data that can be utilized to train an AI agent for the purpose of predicting the stock movement. Predicting the stock market price action will be advantageous. In this paper, the stock movement data of three DFM listed stocks are studied using historical price movements and technical indicators value and used to train an agent using KNN and SVM methods to predict the future price movement. MATLAB Toolbox and a simple script is written to process and classify the information and output the prediction. It will also compare the different learning methods and parameters s using metrics like RMSE, MAE, and R². <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=KNN" title="KNN">KNN</a>, <a href="https://publications.waset.org/abstracts/search?q=ANN" title=" ANN"> ANN</a>, <a href="https://publications.waset.org/abstracts/search?q=style" title=" style"> style</a>, <a href="https://publications.waset.org/abstracts/search?q=SVM" title=" SVM"> SVM</a>, <a href="https://publications.waset.org/abstracts/search?q=stocks" title=" stocks"> stocks</a>, <a href="https://publications.waset.org/abstracts/search?q=technical%20indicators" title=" technical indicators"> technical indicators</a>, <a href="https://publications.waset.org/abstracts/search?q=RSI" title=" RSI"> RSI</a>, <a href="https://publications.waset.org/abstracts/search?q=MACD" title=" MACD"> MACD</a>, <a href="https://publications.waset.org/abstracts/search?q=moving%20averages" title=" moving averages"> moving averages</a>, <a href="https://publications.waset.org/abstracts/search?q=RMSE" title=" RMSE"> RMSE</a>, <a href="https://publications.waset.org/abstracts/search?q=MAE" title=" MAE"> MAE</a> </p> <a href="https://publications.waset.org/abstracts/133210/prediction-of-dubai-financial-market-stocks-movement-using-k-nearest-neighbor-and-support-vector-regression" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/133210.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">172</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">185</span> Performance of Shariah-Based Investment: Evidence from Pakistani Listed Firms</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mohsin%20Sadaqat">Mohsin Sadaqat</a>, <a href="https://publications.waset.org/abstracts/search?q=Hilal%20Anwar%20Butt"> Hilal Anwar Butt</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Following the stock selection guidelines provided by the Sharia Board (SB), we segregate the firms listed at Pakistan Stock Exchange (PSX) into Sharia Compliant (SC) and Non-Sharia Compliant (NSC) stocks. Subsequently, we form portfolios within each group based on market capitalization and volatility. The purpose is to analyze and compare the performance of these two groups as the SC stocks have lesser diversification opportunities due to SB restrictions. Using data ranging from January 2004 until June 2016, our results indicate that in most of the cases the risk-adjusted returns (alphas) for the returns differential between SC and NCS firms are positive. In addition, the SC firms in comparison to their counterparts in PSX provides excess returns that are hedged against the market, size, and value-based systematic risks factors. Overall, these results reconcile with one prevailing notion that the SC stocks that have lower financial leverage and higher investment in real assets are lesser exposed to market-based risks. Further, the SC firms that are more capitalized and less volatile, perform better than lower capitalized and higher volatile SC and NSC firms. To sum up our results, we do not find any substantial evidence for opportunity loss due to limited diversification opportunities in case of SC firms. To optimally utilize scarce resources, investors should consider SC firms as a candidate in portfolio construction. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=diversification" title="diversification">diversification</a>, <a href="https://publications.waset.org/abstracts/search?q=performance" title=" performance"> performance</a>, <a href="https://publications.waset.org/abstracts/search?q=sharia%20compliant%20stocks" title=" sharia compliant stocks"> sharia compliant stocks</a>, <a href="https://publications.waset.org/abstracts/search?q=risk%20adjusted%20returns" title=" risk adjusted returns"> risk adjusted returns</a> </p> <a href="https://publications.waset.org/abstracts/85535/performance-of-shariah-based-investment-evidence-from-pakistani-listed-firms" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/85535.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">199</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">184</span> On the Importance of Quality, Liquidity Level and Liquidity Risk: A Markov-Switching Regime Approach</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Tarik%20Bazgour">Tarik Bazgour</a>, <a href="https://publications.waset.org/abstracts/search?q=Cedric%20Heuchenne"> Cedric Heuchenne</a>, <a href="https://publications.waset.org/abstracts/search?q=Danielle%20Sougne"> Danielle Sougne</a> </p> <p class="card-text"><strong>Abstract:</strong></p> We examine time variation in the market beta of portfolios sorted on quality, liquidity level and liquidity beta characteristics across stock market phases. Using US stock market data for the period 1970-2010, we find, first, the US stock market was driven by four regimes. Second, during the crisis regime, low (high) quality, high (low) liquidity beta and illiquid (liquid) stocks exhibit an increase (a decrease) in their market betas. This finding is consistent with the flight-to-quality and liquidity phenomena. Third, we document the same pattern across stocks when the market volatility is low. We argue that, during low volatility times, investors shift their portfolios towards low quality and illiquid stocks to seek portfolio gains. The pattern observed in the tranquil regime can be, therefore, explained by a flight-to-low-quality and to illiquidity. Finally, our results reveal that liquidity level is more important than liquidity beta during the crisis regime. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=financial%20crises" title="financial crises">financial crises</a>, <a href="https://publications.waset.org/abstracts/search?q=quality" title=" quality"> quality</a>, <a href="https://publications.waset.org/abstracts/search?q=liquidity" title=" liquidity"> liquidity</a>, <a href="https://publications.waset.org/abstracts/search?q=liquidity%20risk" title=" liquidity risk"> liquidity risk</a>, <a href="https://publications.waset.org/abstracts/search?q=regime-switching%20models" title=" regime-switching models"> regime-switching models</a> </p> <a href="https://publications.waset.org/abstracts/16128/on-the-importance-of-quality-liquidity-level-and-liquidity-risk-a-markov-switching-regime-approach" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/16128.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">404</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">183</span> Visualization of Quantitative Thresholds in Stocks</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Siddhant%20Sahu">Siddhant Sahu</a>, <a href="https://publications.waset.org/abstracts/search?q=P.%20James%20Daniel%20Paul"> P. James Daniel Paul</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Technical analysis comprised by various technical indicators is a holistic way of representing price movement of stocks in the market. Various forms of indicators have evolved from the primitive ones in the past decades. There have been many attempts to introduce volume as a major determinant to determine strong patterns in market forecasting. The law of demand defines the relationship between the volume and price. Most of the traders are familiar with the volume game. Including the time dimension to the law of demand provides a different visualization to the theory. While attempting the same, it was found that there are different thresholds in the market for different companies. These thresholds have a significant influence on the price. This article is an attempt in determining the thresholds for companies using the three dimensional graphs for optimizing the portfolios. It also emphasizes on the magnitude of importance of volumes as a key factor for determining of predicting strong price movements, bullish and bearish markets. It uses a comprehensive data set of major companies which form a major chunk of the Indian automotive sector and are thus used as an illustration. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=technical%20analysis" title="technical analysis">technical analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=expert%20system" title=" expert system"> expert system</a>, <a href="https://publications.waset.org/abstracts/search?q=law%20of%20demand" title=" law of demand"> law of demand</a>, <a href="https://publications.waset.org/abstracts/search?q=stocks" title=" stocks"> stocks</a>, <a href="https://publications.waset.org/abstracts/search?q=portfolio%20analysis" title=" portfolio analysis"> portfolio analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=Indian%20automotive%20sector" title=" Indian automotive sector"> Indian automotive sector</a> </p> <a href="https://publications.waset.org/abstracts/6542/visualization-of-quantitative-thresholds-in-stocks" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/6542.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">319</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">182</span> A Proposal to Integrate Spatially Explicit Ecosystem Services with Urban Metabolic Modelling </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Thomas%20Elliot">Thomas Elliot</a>, <a href="https://publications.waset.org/abstracts/search?q=Javier%20Babi%20Almenar"> Javier Babi Almenar</a>, <a href="https://publications.waset.org/abstracts/search?q=Benedetto%20Rugani"> Benedetto Rugani </a> </p> <p class="card-text"><strong>Abstract:</strong></p> The integration of urban metabolism (UM) with spatially explicit ecosystem service (ES) stocks has the potential to advance sustainable urban development. It will correct the lack of spatially specificity of current urban metabolism models. Furthermore, it will include into UM not only the physical properties of material and energy stocks and flows, but also the implications to the natural capital that provides and maintains human well-being. This paper presents the first stages of a modelling framework by which urban planners can assess spatially the trade-offs of ES flows resulting from urban interventions of different character and scale. This framework allows for a multi-region assessment which takes into account sustainability burdens consequent to an urban planning event occurring elsewhere in the environment. The urban boundary is defined as the Functional Urban Audit (FUA) method to account for trans-administrative ES flows. ES are mapped using CORINE land use within the FUA. These stocks and flows are incorporated into a UM assessment method to demonstrate the transfer and flux of ES arising from different urban planning implementations. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=ecological%20economics" title="ecological economics">ecological economics</a>, <a href="https://publications.waset.org/abstracts/search?q=ecosystem%20services" title=" ecosystem services"> ecosystem services</a>, <a href="https://publications.waset.org/abstracts/search?q=spatial%20planning" title=" spatial planning"> spatial planning</a>, <a href="https://publications.waset.org/abstracts/search?q=urban%20metabolism" title=" urban metabolism"> urban metabolism</a> </p> <a href="https://publications.waset.org/abstracts/75964/a-proposal-to-integrate-spatially-explicit-ecosystem-services-with-urban-metabolic-modelling" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/75964.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">335</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">181</span> An Automated Stock Investment System Using Machine Learning Techniques: An Application in Australia</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Carol%20Anne%20Hargreaves">Carol Anne Hargreaves</a> </p> <p class="card-text"><strong>Abstract:</strong></p> A key issue in stock investment is how to select representative features for stock selection. The objective of this paper is to firstly determine whether an automated stock investment system, using machine learning techniques, may be used to identify a portfolio of growth stocks that are highly likely to provide returns better than the stock market index. The second objective is to identify the technical features that best characterize whether a stock’s price is likely to go up and to identify the most important factors and their contribution to predicting the likelihood of the stock price going up. Unsupervised machine learning techniques, such as cluster analysis, were applied to the stock data to identify a cluster of stocks that was likely to go up in price – portfolio 1. Next, the principal component analysis technique was used to select stocks that were rated high on component one and component two – portfolio 2. Thirdly, a supervised machine learning technique, the logistic regression method, was used to select stocks with a high probability of their price going up – portfolio 3. The predictive models were validated with metrics such as, sensitivity (recall), specificity and overall accuracy for all models. All accuracy measures were above 70%. All portfolios outperformed the market by more than eight times. The top three stocks were selected for each of the three stock portfolios and traded in the market for one month. After one month the return for each stock portfolio was computed and compared with the stock market index returns. The returns for all three stock portfolios was 23.87% for the principal component analysis stock portfolio, 11.65% for the logistic regression portfolio and 8.88% for the K-means cluster portfolio while the stock market performance was 0.38%. This study confirms that an automated stock investment system using machine learning techniques can identify top performing stock portfolios that outperform the stock market. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=machine%20learning" title="machine learning">machine learning</a>, <a href="https://publications.waset.org/abstracts/search?q=stock%20market%20trading" title=" stock market trading"> stock market trading</a>, <a href="https://publications.waset.org/abstracts/search?q=logistic%20regression" title=" logistic regression"> logistic regression</a>, <a href="https://publications.waset.org/abstracts/search?q=cluster%20analysis" title=" cluster analysis"> cluster analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=factor%20analysis" title=" factor analysis"> factor analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=decision%20trees" title=" decision trees"> decision trees</a>, <a href="https://publications.waset.org/abstracts/search?q=neural%20networks" title=" neural networks"> neural networks</a>, <a href="https://publications.waset.org/abstracts/search?q=automated%20stock%20investment%20system" title=" automated stock investment system"> automated stock investment system</a> </p> <a href="https://publications.waset.org/abstracts/90984/an-automated-stock-investment-system-using-machine-learning-techniques-an-application-in-australia" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/90984.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">158</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">180</span> The Log S-fbm Nested Factor Model</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Othmane%20Zarhali">Othmane Zarhali</a>, <a href="https://publications.waset.org/abstracts/search?q=C%C3%A9cilia%20Aubrun"> Cécilia Aubrun</a>, <a href="https://publications.waset.org/abstracts/search?q=Emmanuel%20Bacry"> Emmanuel Bacry</a>, <a href="https://publications.waset.org/abstracts/search?q=Jean-Philippe%20Bouchaud"> Jean-Philippe Bouchaud</a>, <a href="https://publications.waset.org/abstracts/search?q=Jean-Fran%C3%A7ois%20Muzy"> Jean-François Muzy</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The Nested factor model was introduced by Bouchaud and al., where the asset return fluctuations are explained by common factors representing the market economic sectors and residuals (noises) sharing with the factors a common dominant volatility mode in addition to the idiosyncratic mode proper to each residual. This construction infers that the factors-residuals log volatilities are correlated. Here, we consider the case of a single factor where the only dominant common mode is a S-fbm process (introduced by Peng, Bacry and Muzy) with Hurst exponent H around 0.11 and the residuals having in addition to the previous common mode idiosyncratic components with Hurst exponents H around 0. The reason for considering this configuration is twofold: preserve the Nested factor model’s characteristics introduced by Bouchaud and al. and propose a framework through which the stylized fact reported by Peng and al. is reproduced, where it has been observed that the Hurst exponents of stock indices are large as compared to those of individual stocks. In this work, we show that the Log S-fbm Nested factor model’s construction leads to a Hurst exponent of single stocks being the ones of the idiosyncratic volatility modes and the Hurst exponent of the index being the one of the common volatility modes. Furthermore, we propose a statistical procedure to estimate the Hurst factor exponent from the stock returns dynamics together with theoretical guarantees, with good results in the limit where the number of stocks N goes to infinity. Last but not least, we show that the factor can be seen as an index constructed from the single stocks weighted by specific coefficients. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=hurst%20exponent" title="hurst exponent">hurst exponent</a>, <a href="https://publications.waset.org/abstracts/search?q=log%20S-fbm%20model" title=" log S-fbm model"> log S-fbm model</a>, <a href="https://publications.waset.org/abstracts/search?q=nested%20factor%20model" title=" nested factor model"> nested factor model</a>, <a href="https://publications.waset.org/abstracts/search?q=small%20intermittency%20approximation" title=" small intermittency approximation"> small intermittency approximation</a> </p> <a href="https://publications.waset.org/abstracts/186694/the-log-s-fbm-nested-factor-model" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/186694.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">55</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">179</span> Biodiesel Is an Alternative Fuel for CI Engines</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Sanat%20Kumar">Sanat Kumar</a>, <a href="https://publications.waset.org/abstracts/search?q=Rahul%20Kumar%20Tiwari"> Rahul Kumar Tiwari</a> </p> <p class="card-text"><strong>Abstract:</strong></p> At this time when society is becoming increasingly aware of the declining reserves of fossil, it has become apparent that biodiesel is destined to make a substantial contribution to the future energy demands of the domestic and industrial economies. In this regard, the significance of biodiesel is technically and commercially viable alternative to fossil-diesel. There are different potential feed stocks for biodiesel production. This paper analyses the performance, combustion and emission characteristics of biodiesel from different feed stocks. Biodiesel fuel is considered as offering many benefits like reduction of greenhouse gas emissions and many harmful pollutants (PM, HC, CO etc.). This paper critically reviews the effect of injection timing on combustion and emission characteristics. An attempt has been carried out to discuss the effect of biodiesel in terms of combustion, emission and performance based up on composition and properties. The results of the study show that different chemical composition leads to variation in its combustion, performance and emission characteristics. Biodiesel produced from different aspired feed stocks reduces the pollutant emission and resistive to oxidation but exhibit poor atomization. As a conclusion many research needs to be carried out to understand the relationship between the types of biodiesel feed stock, performance conclusion and emission. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=atomization" title="atomization">atomization</a>, <a href="https://publications.waset.org/abstracts/search?q=biodiesel" title=" biodiesel"> biodiesel</a>, <a href="https://publications.waset.org/abstracts/search?q=greenhouse%20gas" title=" greenhouse gas"> greenhouse gas</a>, <a href="https://publications.waset.org/abstracts/search?q=oxidation" title=" oxidation"> oxidation</a> </p> <a href="https://publications.waset.org/abstracts/35736/biodiesel-is-an-alternative-fuel-for-ci-engines" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/35736.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">568</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">178</span> Optimization of Black-Litterman Model for Portfolio Assets Allocation</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=A.%20Hidalgo">A. Hidalgo</a>, <a href="https://publications.waset.org/abstracts/search?q=A.%20Desportes"> A. Desportes</a>, <a href="https://publications.waset.org/abstracts/search?q=E.%20Bonin"> E. Bonin</a>, <a href="https://publications.waset.org/abstracts/search?q=A.%20Kadaoui"> A. Kadaoui</a>, <a href="https://publications.waset.org/abstracts/search?q=T.%20Bouaricha"> T. Bouaricha</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Present paper is concerned with portfolio management with Black-Litterman (B-L) model. Considered stocks are exclusively limited to large companies stocks on US market. Results obtained by application of the model are presented. From analysis of collected Dow Jones stock data, remarkable explicit analytical expression of optimal B-L parameter τ, which scales dispersion of normal distribution of assets mean return, is proposed in terms of standard deviation of covariance matrix. Implementation has been developed in Matlab environment to split optimization in Markovitz sense from specific elements related to B-L representation. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Black-Litterman" title="Black-Litterman">Black-Litterman</a>, <a href="https://publications.waset.org/abstracts/search?q=Markowitz" title=" Markowitz"> Markowitz</a>, <a href="https://publications.waset.org/abstracts/search?q=market%20data" title=" market data"> market data</a>, <a href="https://publications.waset.org/abstracts/search?q=portfolio%20manager%20opinion" title=" portfolio manager opinion"> portfolio manager opinion</a> </p> <a href="https://publications.waset.org/abstracts/6712/optimization-of-black-litterman-model-for-portfolio-assets-allocation" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/6712.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">260</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">177</span> Volatility and Stylized Facts</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Kalai%20Lamia">Kalai Lamia</a>, <a href="https://publications.waset.org/abstracts/search?q=Jilani%20Faouzi"> Jilani Faouzi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Measuring and controlling risk is one of the most attractive issues in finance. With the persistence of uncontrolled and erratic stocks movements, volatility is perceived as a barometer of daily fluctuations. An objective measure of this variable seems then needed to control risks and cover those that are considered the most important. Non-linear autoregressive modeling is our first evaluation approach. In particular, we test the presence of “persistence” of conditional variance and the presence of a degree of a leverage effect. In order to resolve for the problem of “asymmetry” in volatility, the retained specifications point to the importance of stocks reactions in response to news. Effects of shocks on volatility highlight also the need to study the “long term” behaviour of conditional variance of stocks returns and articulate the presence of long memory and dependence of time series in the long run. We note that the integrated fractional autoregressive model allows for representing time series that show long-term conditional variance thanks to fractional integration parameters. In order to stop at the dynamics that manage time series, a comparative study of the results of the different models will allow for better understanding volatility structure over the Tunisia stock market, with the aim of accurately predicting fluctuation risks. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=asymmetry%20volatility" title="asymmetry volatility">asymmetry volatility</a>, <a href="https://publications.waset.org/abstracts/search?q=clustering" title=" clustering"> clustering</a>, <a href="https://publications.waset.org/abstracts/search?q=stylised%20facts" title=" stylised facts"> stylised facts</a>, <a href="https://publications.waset.org/abstracts/search?q=leverage%20effect" title=" leverage effect"> leverage effect</a> </p> <a href="https://publications.waset.org/abstracts/30403/volatility-and-stylized-facts" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/30403.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">299</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">176</span> Methaheuristic Bat Algorithm in Training of Feed-Forward Neural Network for Stock Price Prediction</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Marjan%20Golmaryami">Marjan Golmaryami</a>, <a href="https://publications.waset.org/abstracts/search?q=Marzieh%20Behzadi"> Marzieh Behzadi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Recent developments in stock exchange highlight the need for an efficient and accurate method that helps stockholders make better decision. Since stock markets have lots of fluctuations during the time and different effective parameters, it is difficult to make good decisions. The purpose of this study is to employ artificial neural network (ANN) which can deal with time series data and nonlinear relation among variables to forecast next day stock price. Unlike other evolutionary algorithms which were utilized in stock exchange prediction, we trained our proposed neural network with metaheuristic bat algorithm, with fast and powerful convergence and applied it in stock price prediction for the first time. In order to prove the performance of the proposed method, this research selected a 7 year dataset from Parsian Bank stocks and after imposing data preprocessing, used 3 types of ANN (back propagation-ANN, particle swarm optimization-ANN and bat-ANN) to predict the closed price of stocks. Afterwards, this study engaged MATLAB to simulate 3 types of ANN, with the scoring target of mean absolute percentage error (MAPE). The results may be adapted to other companies stocks too. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=artificial%20neural%20network%20%28ANN%29" title="artificial neural network (ANN)">artificial neural network (ANN)</a>, <a href="https://publications.waset.org/abstracts/search?q=bat%20algorithm" title=" bat algorithm"> bat algorithm</a>, <a href="https://publications.waset.org/abstracts/search?q=particle%20swarm%20optimization%20algorithm%20%28PSO%29" title=" particle swarm optimization algorithm (PSO)"> particle swarm optimization algorithm (PSO)</a>, <a href="https://publications.waset.org/abstracts/search?q=stock%20exchange" title=" stock exchange"> stock exchange</a> </p> <a href="https://publications.waset.org/abstracts/14574/methaheuristic-bat-algorithm-in-training-of-feed-forward-neural-network-for-stock-price-prediction" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/14574.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">549</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">175</span> Parasitological Study and Its Role in Fisheries Management and Stock Assessment of Boops boops (Lineauses, 1758) along the Tunisian Coast</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=I.%20Chebbi">I. Chebbi</a>, <a href="https://publications.waset.org/abstracts/search?q=L.%20Boudaya"> L. Boudaya</a>, <a href="https://publications.waset.org/abstracts/search?q=L.%20Neifar"> L. Neifar</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The bogue, Boops boops is an economically important fishery resource and commonly captured in the Mediterranean, and its diversity in parasites has been used as a tool to differentiate between stocks along with Tunisia since it is widely acceptable in fisheries management. In this study, a total of 90 fish are investigated from three localities off Tunisia, including Kelibia, Mahdia, and Zarzis. Fifteen species of parasites totaling 1270 individuals were harvested from B. boops, whereas ten parasites were used as biological tags. Based on Mahalanobis distance, each parasite species shows a great importance in the discrimination between groups. Tetraphyllidea larvae are the most influential parasites in determining the position of samples belonging to Kelibia. Monogenean species and Hysterothylacium sp. are the most important species for determining the position of samples from Mahdia. Specimens from Zarzis are characterized by the absence of the four Monogenean species and the Tetraphyllidea larvae. Parasites allocate B. boops population correctly to their origin communities with an accuracy of 83.3%. These results were corroborated by the discriminant analyses, highlighted the presence of three stocks, and improved that the parasitological method can be considered as a reliable key to provide imperative information for discriminating among B. boops stocks in Tunisian waters. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=biological%20marker" title="biological marker">biological marker</a>, <a href="https://publications.waset.org/abstracts/search?q=Boops%20boops" title=" Boops boops"> Boops boops</a>, <a href="https://publications.waset.org/abstracts/search?q=parasite" title=" parasite"> parasite</a>, <a href="https://publications.waset.org/abstracts/search?q=population%20structure" title=" population structure"> population structure</a> </p> <a href="https://publications.waset.org/abstracts/149633/parasitological-study-and-its-role-in-fisheries-management-and-stock-assessment-of-boops-boops-lineauses-1758-along-the-tunisian-coast" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/149633.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">134</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">174</span> Suboptimal Retiree Allocations with Housing </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Asiye%20Aydilek">Asiye Aydilek</a>, <a href="https://publications.waset.org/abstracts/search?q=Harun%20Aydilek"> Harun Aydilek</a> </p> <p class="card-text"><strong>Abstract:</strong></p> We investigate the costs of various suboptimal allocations in housing, consumption, bond and stock holdings of a retiree in a setting with recursive utility, considering the extensive empirical evidence that investors make suboptimal decisions in different ways. We find that suboptimal stock holdings impose only modest costs on the retiree. This may have a merit in explaining the limited stock investment in the data. The cost of suboptimal bond holdings is higher than that of stocks, but still small. This may partially explain why many more people hold bonds compared to stocks. We find that positive deviations from the optimal level are less costly relative to the negative ones in suboptimal housing allocations. This may help us to clarify why the elderly are over consuming housing, as seen in the housing data. The cost of suboptimal consumption is quite high and the highest of all. Our paper suggests that, in terms of welfare, the decisions of how much of liquid wealth to use for consumption and for saving are more important than the decision about the composition of liquid savings. Suboptimal stock holdings are twice more costly in power utility and suboptimal bond holdings are twenty times more costly in recursive utility. Recursive utility is superior to power utility in terms of rationalizing many people's preference for bonds instead of stocks in investment. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=housing" title="housing">housing</a>, <a href="https://publications.waset.org/abstracts/search?q=recursive%20utility" title=" recursive utility"> recursive utility</a>, <a href="https://publications.waset.org/abstracts/search?q=retirement" title=" retirement"> retirement</a>, <a href="https://publications.waset.org/abstracts/search?q=suboptimal%20decisions" title=" suboptimal decisions"> suboptimal decisions</a>, <a href="https://publications.waset.org/abstracts/search?q=welfare%20cost" title=" welfare cost"> welfare cost</a> </p> <a href="https://publications.waset.org/abstracts/29920/suboptimal-retiree-allocations-with-housing" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/29920.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">318</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">173</span> The Impact of Trading Switch on Price and Liquidity</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Bel%20Abed%20Ines%20Mariem">Bel Abed Ines Mariem</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Different stock markets keep changing their exchange structure for the only purpose of improving the functioning of their markets. This paper investigates the effects of the transfer from one trading category to another in the Tunisian Stock Exchange on market price and liquidity. The sample consists of 40 securities transferred from call auction to continuous auction and conversely during the period between 2004 and 2013. The methodology used is the event study. Empirical results show an interesting phenomenon observed; stocks transferred to the call system have experienced an improvement on their price and liquidity especially for less liquid ones. However, price and liquidity for stocks transferred from call system to continuous system have decreased. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=microstructure" title="microstructure">microstructure</a>, <a href="https://publications.waset.org/abstracts/search?q=call%20auction" title=" call auction"> call auction</a>, <a href="https://publications.waset.org/abstracts/search?q=continuous%20auction" title=" continuous auction"> continuous auction</a>, <a href="https://publications.waset.org/abstracts/search?q=price" title=" price"> price</a>, <a href="https://publications.waset.org/abstracts/search?q=liquidity%20and%20event%20study" title=" liquidity and event study"> liquidity and event study</a> </p> <a href="https://publications.waset.org/abstracts/8056/the-impact-of-trading-switch-on-price-and-liquidity" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/8056.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">390</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">172</span> Inflation Tail Risks and Asset Pricing</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Sebastian%20Luber">Sebastian Luber</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The study demonstrates that tail inflation risk is priced into stock returns and credit spreads. This holds true even when controlling for current and historical inflation moments. The analysis employs inflation caps and floors to obtain the distribution of future inflation under the risk-neutral measure. Credit spreads decrease as the mean and median of future inflation rise, but they respond positively to tail risks. Conversely, stocks serve as a robust hedge against future inflation. Stock returns increase with a higher mean and median of future inflation and rising inflationary tail risk, while they decrease with rising deflationary tail risk. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=asset%20pricing" title="asset pricing">asset pricing</a>, <a href="https://publications.waset.org/abstracts/search?q=inflation%20expectations" title=" inflation expectations"> inflation expectations</a>, <a href="https://publications.waset.org/abstracts/search?q=tail%20risk" title=" tail risk"> tail risk</a>, <a href="https://publications.waset.org/abstracts/search?q=stocks" title=" stocks"> stocks</a>, <a href="https://publications.waset.org/abstracts/search?q=inflation%20derivatives" title=" inflation derivatives"> inflation derivatives</a>, <a href="https://publications.waset.org/abstracts/search?q=credit" title=" credit"> credit</a> </p> <a href="https://publications.waset.org/abstracts/192569/inflation-tail-risks-and-asset-pricing" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/192569.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">24</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">171</span> Floristic Diversity, Carbon Stocks and Degradation Factors in Two Sacred Forests in the West Cameroon Region</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Maffo%20Maffo%20Nicole%20Liliane">Maffo Maffo Nicole Liliane</a>, <a href="https://publications.waset.org/abstracts/search?q=Mounmeni%20Kpoumie%20Hubert"> Mounmeni Kpoumie Hubert</a>, <a href="https://publications.waset.org/abstracts/search?q=Mbaire%20Matindje%20Karl%20Marx"> Mbaire Matindje Karl Marx</a>, <a href="https://publications.waset.org/abstracts/search?q=Zapfack%20Louis"> Zapfack Louis</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Sacred forests play a valuable role in conserving local biodiversity and provide numerous ecosystem services in Cameroon. The study was carried out in the sacred forests of Bandrefam and Batoufam (western Cameroon). The aim was to estimate the diversity of woody species, carbon stocks and degradation factors in these sacred forests. The floristic inventory was carried out in plots measuring 25m × 25m for trees with diameters greater than 10 cm and 5m × 5m for trees with diameters less than 10 cm. Carbon stocks were estimated using the non-destructive method and the allometric equations. Data on degradation factors were collected using semi-structured surveys in the Bandrefam and Batoufam neighborhoods. The floristic inventory identified 65 species divided into 57 genera and 30 families in the Bandrefam Sacred Forest and 45 species divided into 42 genera and 27 families in the Batoufam Sacres Forest. The families common to both sacred forests are as follows: Phyllanthaceae, Fabaceae, Moraceae, Lamiaceae, Malvaceae, Rubiaceae, Meliaceae, Anacardiaceae, and Sapindaceae. Three genera are present in both sites. These are: Albizia, Macaranga, Trichillia. In addition, there are 27 species in common between the two sites. The total carbon stock is 469.26 tC/ha at Batoufam and 291.41 tC/ha at Bandrefam. The economic value varies between 15 823 877.05 fcfa at Batoufam and 9 825 530.528 fcfa at Bandrefam. The study shows that despite the sacred nature of these forests, they are subject to degradation factors such as bushfires (35.42 %), the creation of plantations (23.96 %), illegal timber exploitation (21.88 %), young people's lack of interest in the notion of conservation (9.38 %), climate change (7.29 %) and growing urbanization (2.08 %). These factors threaten biodiversity and reduce carbon storage in these forests. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=sacred%20forests" title="sacred forests">sacred forests</a>, <a href="https://publications.waset.org/abstracts/search?q=degradation%20factors" title=" degradation factors"> degradation factors</a>, <a href="https://publications.waset.org/abstracts/search?q=carbon%20stocks" title=" carbon stocks"> carbon stocks</a>, <a href="https://publications.waset.org/abstracts/search?q=semi-structured%20surveys" title=" semi-structured surveys"> semi-structured surveys</a> </p> <a href="https://publications.waset.org/abstracts/181632/floristic-diversity-carbon-stocks-and-degradation-factors-in-two-sacred-forests-in-the-west-cameroon-region" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/181632.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">49</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">170</span> A Generalization of Option Pricing with Discrete Dividends to Markets with Daily Price Limits</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Jiahau%20Guo">Jiahau Guo</a>, <a href="https://publications.waset.org/abstracts/search?q=Yihe%20Zhang"> Yihe Zhang</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper proposes solutions for pricing options on stocks paying discrete dividends in markets with daily price limits. We first extend the intraday density function of Guo and Chang (2020) to a multi-day one and use the framework of Haug et al. (2003) to value European options on stocks paying discrete dividends. Next, we adopt the fast Fourier transform (FFT) to derive accurate and efficient formulae for American options and further employ the three-point Richardson extrapolation to accelerate the computation. Finally, the accuracy of our proposed methods is verified by simulations. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=daily%20price%20limit" title="daily price limit">daily price limit</a>, <a href="https://publications.waset.org/abstracts/search?q=discrete%20dividend" title=" discrete dividend"> discrete dividend</a>, <a href="https://publications.waset.org/abstracts/search?q=early%20exercise" title=" early exercise"> early exercise</a>, <a href="https://publications.waset.org/abstracts/search?q=fast%20Fourier%20transform" title=" fast Fourier transform"> fast Fourier transform</a>, <a href="https://publications.waset.org/abstracts/search?q=multi-day%20density%20function" title=" multi-day density function"> multi-day density function</a>, <a href="https://publications.waset.org/abstracts/search?q=Richardson%20extrapolation" title=" Richardson extrapolation"> Richardson extrapolation</a> </p> <a href="https://publications.waset.org/abstracts/129710/a-generalization-of-option-pricing-with-discrete-dividends-to-markets-with-daily-price-limits" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/129710.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">165</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">169</span> Assessment of Biosecurity Strategies of Selected Fishponds in Bataan</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Rudy%20C.%20Flores">Rudy C. Flores</a>, <a href="https://publications.waset.org/abstracts/search?q=Felicisima%20E.%20Tungol"> Felicisima E. Tungol</a>, <a href="https://publications.waset.org/abstracts/search?q=Armando%20A.%20Villafuerte"> Armando A. Villafuerte</a>, <a href="https://publications.waset.org/abstracts/search?q=Abraham%20S.%20Antonio"> Abraham S. Antonio</a>, <a href="https://publications.waset.org/abstracts/search?q=Roy%20N.%20Oroyo"> Roy N. Oroyo</a>, <a href="https://publications.waset.org/abstracts/search?q=Henry%20A.%20Cruz"> Henry A. Cruz </a> </p> <p class="card-text"><strong>Abstract:</strong></p> An assessment of the biosecurity strategies of selected fishponds in Bataan was conducted by the researchers from Bataan Peninsula State University Orani Campus to determine the present status of Biosecurity strategies being practice by selected freshwater and brackish water fishpond operators in the province to have an initial data of their system of safeguarding cultured fishes against possible diseases. Likewise, it aims to evaluate the extent of implementation of the following areas of Biosecurity namely; fishpond location, perimeter, entrance, building/ pond structure, shipping, new stocks, feeds, dead stocks, soil and water treatment, disinfection and vaccination program. The results of the assessment revealed that the present average status of the surveyed fish ponds in Bataan based on the data gathered from selected fishpond operators is poor for 44.64% and fair for 12.61%, which means that more than one- half of the surveyed fishpond do not have the first and second line of defense against diseases and there is always a higher risk of infection, contamination and possibility of disease outbreak. This indicates that fishpond operators in Bataan need technological interventions to improve their harvest and prevent heavy losses from fish diseases, although biosecurity is satisfactory for 12.92% and very good for 9.16%, which indicate that 22.08% of the surveyed fishponds have their own strategies to keep their stocks from diseases. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=biosecurity" title="biosecurity">biosecurity</a>, <a href="https://publications.waset.org/abstracts/search?q=fishpond%20operators" title=" fishpond operators"> fishpond operators</a>, <a href="https://publications.waset.org/abstracts/search?q=soil%20and%20water%20treatment" title=" soil and water treatment"> soil and water treatment</a>, <a href="https://publications.waset.org/abstracts/search?q=filtration%20system" title=" filtration system"> filtration system</a>, <a href="https://publications.waset.org/abstracts/search?q=bird%20scaring%20devices" title=" bird scaring devices"> bird scaring devices</a> </p> <a href="https://publications.waset.org/abstracts/19713/assessment-of-biosecurity-strategies-of-selected-fishponds-in-bataan" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/19713.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">704</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">168</span> Behavioral Analysis of Stock Using Selective Indicators from Fundamental and Technical Analysis</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Vish%20Putcha">Vish Putcha</a>, <a href="https://publications.waset.org/abstracts/search?q=Chandrasekhar%20Putcha"> Chandrasekhar Putcha</a>, <a href="https://publications.waset.org/abstracts/search?q=Siva%20Hari"> Siva Hari</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In the current digital era of free trading and pandemic-driven remote work culture, markets worldwide gained momentum for retail investors to trade from anywhere easily. The number of retail traders rose to 24% of the market from 15% at the pre-pandemic level. Most of them are young retail traders with high-risk tolerance compared to the previous generation of retail traders. This trend boosted the growth of subscription-based market predictors and market data vendors. Young traders are betting on these predictors, assuming one of them is correct. However, 90% of retail traders are on the losing end. This paper presents multiple indicators and attempts to derive behavioral patterns from the underlying stocks. The two major indicators that traders and investors follow are technical and fundamental. The famous investor, Warren Buffett, adheres to the “Value Investing” method that is based on a stock’s fundamental Analysis. In this paper, we present multiple indicators from various methods to understand the behavior patterns of stocks. For this research, we picked five stocks with a market capitalization of more than $200M, listed on the exchange for more than 20 years, and from different industry sectors. To study the behavioral pattern over time for these five stocks, a total of 8 indicators are chosen from fundamental, technical, and financial indicators, such as Price to Earning (P/E), Price to Book Value (P/B), Debt to Equity (D/E), Beta, Volatility, Relative Strength Index (RSI), Moving Averages and Dividend yields, followed by detailed mathematical Analysis. This is an interdisciplinary paper between various disciplines of Engineering, Accounting, and Finance. The research takes a new approach to identify clear indicators affecting stocks. Statistical Analysis of the data will be performed in terms of the probabilistic distribution, then follow and then determine the probability of the stock price going over a specific target value. The Chi-square test will be used to determine the validity of the assumed distribution. Preliminary results indicate that this approach is working well. When the complete results are presented in the final paper, they will be beneficial to the community. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=stock%20pattern" title="stock pattern">stock pattern</a>, <a href="https://publications.waset.org/abstracts/search?q=stock%20market%20analysis" title=" stock market analysis"> stock market analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=stock%20predictions" title=" stock predictions"> stock predictions</a>, <a href="https://publications.waset.org/abstracts/search?q=trading" title=" trading"> trading</a>, <a href="https://publications.waset.org/abstracts/search?q=investing" title=" investing"> investing</a>, <a href="https://publications.waset.org/abstracts/search?q=fundamental%20analysis" title=" fundamental analysis"> fundamental analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=technical%20analysis" title=" technical analysis"> technical analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=quantitative%20trading" title=" quantitative trading"> quantitative trading</a>, <a href="https://publications.waset.org/abstracts/search?q=financial%20analysis" title=" financial analysis"> financial analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=behavioral%20analysis" title=" behavioral analysis"> behavioral analysis</a> </p> <a href="https://publications.waset.org/abstracts/158178/behavioral-analysis-of-stock-using-selective-indicators-from-fundamental-and-technical-analysis" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/158178.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">87</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">167</span> Stock Price Prediction Using Time Series Algorithms</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Sumit%20Sen">Sumit Sen</a>, <a href="https://publications.waset.org/abstracts/search?q=Sohan%20Khedekar"> Sohan Khedekar</a>, <a href="https://publications.waset.org/abstracts/search?q=Umang%20Shinde"> Umang Shinde</a>, <a href="https://publications.waset.org/abstracts/search?q=Shivam%20Bhargava"> Shivam Bhargava</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This study has been undertaken to investigate whether the deep learning models are able to predict the future stock prices by training the model with the historical stock price data. Since this work required time series analysis, various models are present today to perform time series analysis such as Recurrent Neural Network LSTM, ARIMA and Facebook Prophet. Applying these models the movement of stock price of stocks are predicted and also tried to provide the future prediction of the stock price of a stock. Final product will be a stock price prediction web application that is developed for providing the user the ease of analysis of the stocks and will also provide the predicted stock price for the next seven days. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Autoregressive%20Integrated%20Moving%20Average" title="Autoregressive Integrated Moving Average">Autoregressive Integrated Moving Average</a>, <a href="https://publications.waset.org/abstracts/search?q=Deep%20Learning" title=" Deep Learning"> Deep Learning</a>, <a href="https://publications.waset.org/abstracts/search?q=Long%20Short%20Term%20Memory" title=" Long Short Term Memory"> Long Short Term Memory</a>, <a href="https://publications.waset.org/abstracts/search?q=Time-series" title=" Time-series"> Time-series</a> </p> <a href="https://publications.waset.org/abstracts/137402/stock-price-prediction-using-time-series-algorithms" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/137402.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">143</span> </span> </div> </div> <ul class="pagination"> <li class="page-item disabled"><span class="page-link">&lsaquo;</span></li> <li class="page-item active"><span class="page-link">1</span></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=marginable%20stocks&page=2">2</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=marginable%20stocks&page=3">3</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=marginable%20stocks&page=4">4</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=marginable%20stocks&page=5">5</a></li> <li class="page-item"><a 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