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markets</title> <meta name="description" content="Search results for: Asian stock markets"> <meta name="keywords" content="Asian stock markets"> <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="Asian stock markets"> <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> 2200</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: Asian stock markets</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2170</span> Crude Oil and Stocks Markets: Prices and Uncertainty Transmission Analysis</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Kamel%20Malik%20Bensafta">Kamel Malik Bensafta</a>, <a href="https://publications.waset.org/abstracts/search?q=Gervasio%20Semedo"> Gervasio Semedo </a> </p> <p class="card-text"><strong>Abstract:</strong></p> The purpose of this paper is to investigate the relationship between oil prices and socks markets. The empirical analysis in this paper is conducted within the context of Multivariate GARCH models, using a transform version of the so-called BEKK parameterization. We show that mean and uncertainty of US market are transmitted to oil market and European market. We also identify an important transmission from WTI prices to Brent Prices. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=oil%20volatility" title="oil volatility">oil volatility</a>, <a href="https://publications.waset.org/abstracts/search?q=stock%20markets" title=" stock markets"> stock markets</a>, <a href="https://publications.waset.org/abstracts/search?q=MGARCH" title=" MGARCH"> MGARCH</a>, <a href="https://publications.waset.org/abstracts/search?q=transmission" title=" transmission"> transmission</a>, <a href="https://publications.waset.org/abstracts/search?q=structural%20break" title=" structural break"> structural break</a> </p> <a href="https://publications.waset.org/abstracts/23585/crude-oil-and-stocks-markets-prices-and-uncertainty-transmission-analysis" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/23585.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">525</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">2169</span> Dynamic Comovements between Exchange Rates, Stock Prices and Oil Prices: Evidence from Developed and Emerging Latin American Markets</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Nini%20Johana%20Marin%20Rodriguez">Nini Johana Marin Rodriguez</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper applies DCC, EWMA and OGARCH models to compare the dynamic correlations between exchange rates, oil prices, exchange rates and stock markets to examine the time-varying conditional correlations to the daily oil prices and index returns in relation to the US dollar/local currency for developed (Canada and Mexico) and emerging Latin American markets (Brazil, Chile, Colombia and Peru). Changes in correlation interactions are indicative of structural changes in market linkages with implications to contagion and interdependence. For each pair of stock price-exchange rate and oil price-US dollar/local currency, empirical evidence confirms of a strengthening negative correlation in the last decade. Methodologies suggest only two events have significatively impact in the countries analyzed: global financial crisis and Europe crisis, both events are associated with shifts of correlations to stronger negative level for most of the pairs analyzed. While, the first event has a shifting effect on mainly emerging members, the latter affects developed members. The identification of these relationships provides benefits in risk diversification and inflation targeting. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=crude%20oil" title="crude oil">crude oil</a>, <a href="https://publications.waset.org/abstracts/search?q=dynamic%20conditional%20correlation" title=" dynamic conditional correlation"> dynamic conditional correlation</a>, <a href="https://publications.waset.org/abstracts/search?q=exchange%20rates" title=" exchange rates"> exchange rates</a>, <a href="https://publications.waset.org/abstracts/search?q=interdependence" title=" interdependence"> interdependence</a>, <a href="https://publications.waset.org/abstracts/search?q=stock%20prices" title=" stock prices"> stock prices</a> </p> <a href="https://publications.waset.org/abstracts/67128/dynamic-comovements-between-exchange-rates-stock-prices-and-oil-prices-evidence-from-developed-and-emerging-latin-american-markets" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/67128.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">307</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">2168</span> Clustering of Extremes in Financial Returns: A Comparison between Developed and Emerging Markets</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Sara%20Ali%20Alokley">Sara Ali Alokley</a>, <a href="https://publications.waset.org/abstracts/search?q=Mansour%20Saleh%20Albarrak"> Mansour Saleh Albarrak</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper investigates the dependency or clustering of extremes in the financial returns data by estimating the extremal index value θ∈[0,1]. The smaller the value of θ the more clustering we have. Here we apply the method of Ferro and Segers (2003) to estimate the extremal index for a range of threshold values. We compare the dependency structure of extremes in the developed and emerging markets. We use the financial returns of the stock market index in the developed markets of US, UK, France, Germany and Japan and the emerging markets of Brazil, Russia, India, China and Saudi Arabia. We expect that more clustering occurs in the emerging markets. This study will help to understand the dependency structure of the financial returns data. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=clustring" title="clustring">clustring</a>, <a href="https://publications.waset.org/abstracts/search?q=extremes" title=" extremes"> extremes</a>, <a href="https://publications.waset.org/abstracts/search?q=returns" title=" returns"> returns</a>, <a href="https://publications.waset.org/abstracts/search?q=dependency" title=" dependency"> dependency</a>, <a href="https://publications.waset.org/abstracts/search?q=extermal%20index" title=" extermal index"> extermal index</a> </p> <a href="https://publications.waset.org/abstracts/65436/clustering-of-extremes-in-financial-returns-a-comparison-between-developed-and-emerging-markets" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/65436.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">405</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">2167</span> The Effect of COVID-19 Transmission, Lockdown Measures, and Vaccination on Stock Market Returns</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Belhouchet%20Selma">Belhouchet Selma</a>, <a href="https://publications.waset.org/abstracts/search?q=Ben%20Amar%20Anis"> Ben Amar Anis</a> </p> <p class="card-text"><strong>Abstract:</strong></p> We examine the impact of COVID-19 transmission, containment measures, and vaccination growth on daily stock market returns for the G7 countries (Canada, France, Germany, Italy, Japan, the United Kingdom, and the United States) from January 22, 2020, to August 31, 2021, more than a year and a half after COVID-19. For this objective, we use panel pooled ordinary least squares regressions. Our findings indicate that the spread of the pandemic has a negative impact on the daily performance of the world's seven main stock markets. Government measures to improve stock market returns are no longer successful. Furthermore, our findings demonstrate that immunization efforts in G7 nations do not increase stock market performance in these countries. A variety of robustness tests back up our conclusions. Our findings have far-reaching implications for investors, governments, and regulators not only in the G7 countries but also in all developed countries and all countries globally. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=COVID-19" title="COVID-19">COVID-19</a>, <a href="https://publications.waset.org/abstracts/search?q=G7%20stock%20market" title=" G7 stock market"> G7 stock market</a>, <a href="https://publications.waset.org/abstracts/search?q=containment%20measures" title=" containment measures"> containment measures</a>, <a href="https://publications.waset.org/abstracts/search?q=vaccination" title=" vaccination"> vaccination</a> </p> <a href="https://publications.waset.org/abstracts/155046/the-effect-of-covid-19-transmission-lockdown-measures-and-vaccination-on-stock-market-returns" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/155046.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">100</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">2166</span> Understanding the Nature of Capital Allocation Problem in Corporate Finance</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Meltem%20Gurunlu">Meltem Gurunlu</a> </p> <p class="card-text"><strong>Abstract:</strong></p> One of the central problems in corporate finance is the allocation of funds. This usually takes two forms: allocation of funds across firms in an economy or allocation of funds across projects or business units within a firm. The first one is typically related to the external markets (the bond market, the stock market, banks and finance companies) whereas the second form of the capital allocation is related to the internal capital markets in which corporate headquarters allocate capital to their business units. (within-group transfers, within-group credit markets, and within-group equity market). The main aim of this study is to investigate the nature of capital allocation dynamics by comparing the relevant studies carried out on external and internal capital markets with paying special significance to the business groups. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=internal%20capital%20markets" title="internal capital markets">internal capital markets</a>, <a href="https://publications.waset.org/abstracts/search?q=external%20capital%20markets" title=" external capital markets"> external capital markets</a>, <a href="https://publications.waset.org/abstracts/search?q=capital%20structure" title=" capital structure"> capital structure</a>, <a href="https://publications.waset.org/abstracts/search?q=capital%20allocation" title=" capital allocation"> capital allocation</a>, <a href="https://publications.waset.org/abstracts/search?q=business%20groups" title=" business groups"> business groups</a>, <a href="https://publications.waset.org/abstracts/search?q=corporate%20finance" title=" corporate finance"> corporate finance</a> </p> <a href="https://publications.waset.org/abstracts/89423/understanding-the-nature-of-capital-allocation-problem-in-corporate-finance" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/89423.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">195</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">2165</span> Financial Ethics: A Review of 2010 Flash Crash</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Omer%20Farooq">Omer Farooq</a>, <a href="https://publications.waset.org/abstracts/search?q=Salman%20Ahmed%20Khan"> Salman Ahmed Khan</a>, <a href="https://publications.waset.org/abstracts/search?q=Sadaf%20Khalid"> Sadaf Khalid</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Modern day stock markets have almost entirely became automated. Even though it means increased profits for the investors by algorithms acting upon the slightest price change in order of microseconds, it also has given birth to many ethical dilemmas in the sense that slightest mistake can cause people to lose all of their livelihoods. This paper reviews one such event that happened on May 06, 2010 in which $1 trillion dollars disappeared from the Dow Jones Industrial Average. We are going to discuss its various aspects and the ethical dilemmas that have arisen due to it. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=flash%20crash" title="flash crash">flash crash</a>, <a href="https://publications.waset.org/abstracts/search?q=market%20crash" title=" market crash"> market crash</a>, <a href="https://publications.waset.org/abstracts/search?q=stock%20market" title=" stock market"> stock market</a>, <a href="https://publications.waset.org/abstracts/search?q=stock%20market%20crash" title=" stock market crash"> stock market crash</a> </p> <a href="https://publications.waset.org/abstracts/10063/financial-ethics-a-review-of-2010-flash-crash" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/10063.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">519</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">2164</span> Investigating the Securities on Market Development in Georgia</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Shota%20Gulbani">Shota Gulbani</a> </p> <p class="card-text"><strong>Abstract:</strong></p> At the present stage, for the countries with developing economies, studying, and researching financial markets, gains special importance, because the situation of financial markets shapes an exact views about the carried out economic policy of the country. Besides, it’s unimaginable any country with developed economy, without healthy and functioning financial markets, whereas, for any kind of business it has got a great importance in terms of finding diversified and alternative capital. In this regard; it should be noted that the segments of Georgian financial markets are developed quite unequally, as evidenced by the fact that the Georgian financial sector is represented by 93% of commercial banks, what does not create an conformable environment for non-bank financial institutions development. In spite of the fact that Georgia has got one of the best banking system of region, it is important to properly analyze that this system should not hinder the development of other participants of Georgian financial sector. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=financial%20markets" title="financial markets">financial markets</a>, <a href="https://publications.waset.org/abstracts/search?q=macroeconomics" title=" macroeconomics"> macroeconomics</a>, <a href="https://publications.waset.org/abstracts/search?q=investments" title=" investments"> investments</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/49842/investigating-the-securities-on-market-development-in-georgia" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/49842.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">358</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">2163</span> Financial Markets Integration between Morocco and France: Implications on International Portfolio Diversification</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Abdelmounaim%20Lahrech">Abdelmounaim Lahrech</a>, <a href="https://publications.waset.org/abstracts/search?q=Hajar%20Bousfiha"> Hajar Bousfiha</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper examines equity market integration between Morocco and France and its consequent implications on international portfolio diversification. In the absence of stock market linkages, Morocco can act as a diversification destination to European investors, allowing higher returns at a comparable level of risk in developed markets. In contrast, this attractiveness is limited if both financial markets show significant linkage. The research empirically measures financial market’s integration in by capturing the conditional correlation between the two markets using the Generalized Autoregressive Conditionally Heteroscedastic (GARCH) model. Then, the research uses the Dynamic Conditional Correlation (DCC) model of Engle (2002) to track the correlations. The research findings show that there is no important increase over the years in the correlation between the Moroccan and the French equity markets, even though France is considered Morocco’s first trading partner. Failing to prove evidence of the stock index linkage between the two countries, the volatility series of each market were assumed to change over time separately. Yet, the study reveals that despite the important historical and economic linkages between Morocco and France, there is no evidence that equity markets follow. The small correlations and their stationarity over time show that over the 10 years studied, correlations were fluctuating around a stable mean with no significant change at their level. Different explanations can be attributed to the absence of market linkage between the two equity markets. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=equity%20market%20linkage" title="equity market linkage">equity market linkage</a>, <a href="https://publications.waset.org/abstracts/search?q=DCC%20GARCH" title=" DCC GARCH"> DCC GARCH</a>, <a href="https://publications.waset.org/abstracts/search?q=international%20portfolio%20diversification" title=" international portfolio diversification"> international portfolio diversification</a>, <a href="https://publications.waset.org/abstracts/search?q=Morocco" title=" Morocco"> Morocco</a>, <a href="https://publications.waset.org/abstracts/search?q=France" title=" France"> France</a> </p> <a href="https://publications.waset.org/abstracts/15794/financial-markets-integration-between-morocco-and-france-implications-on-international-portfolio-diversification" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/15794.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">442</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">2162</span> Causality between Stock Indices and Cryptocurrencies during the Russia-Ukraine War</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Nidhal%20Mgadmi">Nidhal Mgadmi</a>, <a href="https://publications.waset.org/abstracts/search?q=Abdelhafidh%20Othmani"> Abdelhafidh Othmani</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This article examines the causal relationship between stock indices and cryptocurrencies during the current war between Russia and Ukraine. The econometric investigation runs from February 24, 2022, to April 12, 2023, focusing on seven stock market indices (S&P500, DAX, CAC40, Nikkei, TSX, MOEX, and PFTS) and seven cryptocurrencies (Bitcoin, Ethereum, Litcoin, Dash, Ripple, DigiByte and XEM). In this article, we try to understand how investors react to fluctuations in financial assets to seek safe havens in cryptocurrencies. We used dynamic causality to detect a possible causal relationship in the short term and seven models to estimate the long-term relationship between cryptocurrencies and financial assets. The causal relationship between financial market indexes and cryptocurrency coins in the short run indicates that three famous cryptocurrencies (BITCOIN, ETHEREUM, RIPPLE) and the two digital assets with minor popularity (XEM, Digibyte) are impacted by the German, Russian, and Ukrainian stock markets. In the long run, we found a positive and significate effect of the American, Canadian, French, and Ukrainian stock market indexes on Bitcoin. Thus, the stability of the traditional financial markets during the current war period can be explained on the one hand by investors’ fears of an unstable business climate, and on the other hand, by speculators’ sentiment towards new electronic products, which are perceived as hedging instruments and a safe haven in the face of the conflict between Ukraine and Russia. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=causality" title="causality">causality</a>, <a href="https://publications.waset.org/abstracts/search?q=stock%20indices" title=" stock indices"> stock indices</a>, <a href="https://publications.waset.org/abstracts/search?q=cryptocurrency" title=" cryptocurrency"> cryptocurrency</a>, <a href="https://publications.waset.org/abstracts/search?q=war" title=" war"> war</a>, <a href="https://publications.waset.org/abstracts/search?q=Russia" title=" Russia"> Russia</a>, <a href="https://publications.waset.org/abstracts/search?q=Ukraine" title=" Ukraine"> Ukraine</a> </p> <a href="https://publications.waset.org/abstracts/169841/causality-between-stock-indices-and-cryptocurrencies-during-the-russia-ukraine-war" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/169841.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">67</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">2161</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">389</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">2160</span> Contagion and Stock Interdependence in the BRIC+M Block</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Christian%20Bucio%20Pacheco">Christian Bucio Pacheco</a>, <a href="https://publications.waset.org/abstracts/search?q=Miriam%20Magnolia%20Sosa%20Castro"> Miriam Magnolia Sosa Castro</a>, <a href="https://publications.waset.org/abstracts/search?q=Mar%C3%ADa%20Alejandra%20Cabello%20Rosales"> María Alejandra Cabello Rosales</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper aims to analyze the contagion effect among the stock markets of the BRIC+M block (Brazil, Russia, India, China plus Mexico). The contagion effect is proved through increasing on dependence parameters during crisis periods. The dependence parameters are estimated through copula approach in a period of time from July 1997 to December 2015. During this period there are instability and calm episodes, allowing to analyze changes in the relations of dependence. Empirical results show strong evidence of time-varying dependence among the BRIC+M markets and an increasing dependence relation during global financial crisis period. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=BRIC%2BM%20Block" title="BRIC+M Block">BRIC+M Block</a>, <a href="https://publications.waset.org/abstracts/search?q=Contagion%20effect" title=" Contagion effect"> Contagion effect</a>, <a href="https://publications.waset.org/abstracts/search?q=Copula" title=" Copula"> Copula</a>, <a href="https://publications.waset.org/abstracts/search?q=dependence" title=" dependence"> dependence</a> </p> <a href="https://publications.waset.org/abstracts/58461/contagion-and-stock-interdependence-in-the-bricm-block" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/58461.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">347</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">2159</span> Mean Reversion in Stock Prices: Evidence from Karachi Stock Exchange</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Tabassum%20Riaz">Tabassum Riaz</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This study provides a complete examination of the stock prices behavior in the Karachi stock exchange. It examines that whether Karachi stock exchange can be described as mean reversion or not. For this purpose daily, weekly and monthly index data from Karachi stock exchange ranging from period July 1, 1997 to July 2, 2011 was taken. After employing the Multiple variance ratio and unit root tests it is concluded that stock market follow mean reversion behavior and hence have reverting trend which opens the door for the active invest management. Thus technical analysis may be help to identify the potential areas for value creation. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=mean%20reversion" title="mean reversion">mean reversion</a>, <a href="https://publications.waset.org/abstracts/search?q=random%20walk" title=" random walk"> random walk</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=Karachi%20stock%20exchange" title=" Karachi stock exchange"> Karachi stock exchange</a> </p> <a href="https://publications.waset.org/abstracts/23494/mean-reversion-in-stock-prices-evidence-from-karachi-stock-exchange" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/23494.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">432</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">2158</span> Investigating the Relationship between the Kuwait Stock Market and Its Marketing Sectors</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mohamad%20H.%20Atyeh">Mohamad H. Atyeh</a>, <a href="https://publications.waset.org/abstracts/search?q=Ahmad%20Khaldi"> Ahmad Khaldi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The main objective of this research is to measure the relationship between the Kuwait stock Exchange (KSE) index and its two marketing sectors after the new market classification. The findings of this research are important for Public economic policy makers as they need to know if the new system (new classification) is efficient and to what level, to monitor the markets and intervene with appropriate measures. The data used are the daily index of the whole Kuwaiti market and the daily closing price, number of deals and volume of shares traded of two marketing sectors (consumer goods and consumer services) for the period from the 13th of May 2012 till the 12th of December 2016. The results indicate a positive direct impact of the closing price, volume and deals indexes of the consumer goods and the consumer services companies on the overall KSE index, volume and deals of the Kuwaiti stock market (KSE). <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=correlation" title="correlation">correlation</a>, <a href="https://publications.waset.org/abstracts/search?q=market%20capitalization" title=" market capitalization"> market capitalization</a>, <a href="https://publications.waset.org/abstracts/search?q=Kuwait%20Stock%20Exchange%20%28KSE%29" title=" Kuwait Stock Exchange (KSE)"> Kuwait Stock Exchange (KSE)</a>, <a href="https://publications.waset.org/abstracts/search?q=marketing%20sectors" title=" marketing sectors"> marketing sectors</a>, <a href="https://publications.waset.org/abstracts/search?q=stock%20performance" title=" stock performance"> stock performance</a> </p> <a href="https://publications.waset.org/abstracts/76744/investigating-the-relationship-between-the-kuwait-stock-market-and-its-marketing-sectors" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/76744.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">326</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">2157</span> Measures of Corporate Governance Efficiency on the Quality Level of Value Relevance Using IFRS and Corporate Governance Acts: Evidence from African Stock Exchanges</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Tchapo%20Tchaga%20Sophia">Tchapo Tchaga Sophia</a>, <a href="https://publications.waset.org/abstracts/search?q=Cai%20Chun"> Cai Chun</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This study measures the efficiency level of corporate governance to improve the quality level of value relevance in the resolution of market value efficiency increase issues, transparency problems, risk frauds, agency problems, investors' confidence, and decision-making issues using IFRS and Corporate Governance Acts (CGA). The final sample of this study contains 3660 firms from ten countries' stock markets from 2010 to 2020. Based on the efficiency market theory and the positive accounting theory, this paper uses multiple econometrical methods (DID method, multivariate and univariate regression methods) and models (Ohlson model and compliance index model) regression to see the incidence results of corporate governance mechanisms on the value relevance level under the influence of IFRS and corporate governance regulations act framework in Africa's stock exchanges for non-financial firms. The results on value relevance show that the corporate governance system, strengthened by the adoption of IFRS and enforcement of new corporate governance regulations, produces better financial statement information when its compliance level is high. And that is both value-relevant and comparable to results in more developed markets. Similar positive and significant results were obtained when predicting future book value per share and earnings per share through the determination of stock price and stock return. The findings of this study have important implications for regulators, academics, investors, and other users regarding the effects of IFRS and the Corporate Governance Act (CGA) on the relationship between corporate governance and accounting information relevance in the African stock market. The contributions of this paper are also based on the uniqueness of the data used in this study. The unique data is from Africa, and not all existing findings provide evidence for Africa and of the DID method used to examine the relationship between corporate governance and value relevance on African stock exchanges. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=corporate%20governance%20value" title="corporate governance value">corporate governance value</a>, <a href="https://publications.waset.org/abstracts/search?q=market%20efficiency%20value" title=" market efficiency value"> market efficiency value</a>, <a href="https://publications.waset.org/abstracts/search?q=value%20relevance" title=" value relevance"> value relevance</a>, <a href="https://publications.waset.org/abstracts/search?q=African%20stock%20market" title=" African stock market"> African stock market</a>, <a href="https://publications.waset.org/abstracts/search?q=stock%20return-stock%20price" title=" stock return-stock price"> stock return-stock price</a> </p> <a href="https://publications.waset.org/abstracts/175049/measures-of-corporate-governance-efficiency-on-the-quality-level-of-value-relevance-using-ifrs-and-corporate-governance-acts-evidence-from-african-stock-exchanges" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/175049.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">57</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">2156</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">548</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">2155</span> Financial Markets Performance: From COVID-19 Crisis to Hopes of Recovery with the Containment Polices</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Engy%20Eissa">Engy Eissa</a>, <a href="https://publications.waset.org/abstracts/search?q=Dina%20M.%20Yousri"> Dina M. Yousri</a> </p> <p class="card-text"><strong>Abstract:</strong></p> COVID-19 has hit massively the world economy, financial markets and even societies’ livelihood. The infectious disease caused by the most recently discovered coronavirus was claimed responsible for a shrink in the global economy by 4.4% in 2020. Shortly after the first case in Wuhan was identified, a quick surge in the number of confirmed cases in China was evident and a vast spread worldwide is recorded with cases surpassing the 500,000 cases. Irrespective of the disease’s trajectory in each country, a call for immediate action and prompt government intervention was needed. Given that there is no one-size-fits-all approach across the world, a number of containment and adoption policies were embraced. It was starting by enforcing complete lockdown like China to even stricter policies targeted containing the spread of the virus, augmenting the efficiency of health systems, and controlling the economic outcomes arising from this crisis. Hence, this paper has three folds; first, it examines the impact of containment policies taken by governments on controlling the number of cases and deaths in the given countries. Second, to assess the ramifications of COVID-19 on financial markets measured by stock returns. Third, to study the impact of containment policies measured by the government response index, the stringency index, the containment health index, and the economic support index on financial markets performance. Using a sample of daily data covering the period 31st of January 2020 to 15th of April 2021 for the 10 most hit countries in wave one by COVID-19 namely; Brazil, India, Turkey, Russia, UK, USA, France, Germany, Spain, and Italy. The aforementioned relationships were tested using Panel VAR Regression. The preliminary results showed that the number of daily deaths had an impact on the stock returns; moreover, the health containment policies and the economic support provided by the governments had a significant effect on lowering the impact of COVID-19 on stock returns. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=COVID-19" title="COVID-19">COVID-19</a>, <a href="https://publications.waset.org/abstracts/search?q=government%20policies" title=" government policies"> government policies</a>, <a href="https://publications.waset.org/abstracts/search?q=stock%20returns" title=" stock returns"> stock returns</a>, <a href="https://publications.waset.org/abstracts/search?q=VAR" title=" VAR"> VAR</a> </p> <a href="https://publications.waset.org/abstracts/139861/financial-markets-performance-from-covid-19-crisis-to-hopes-of-recovery-with-the-containment-polices" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/139861.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">181</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">2154</span> Predatory Pricing at Services Markets: Incentives, Mechanisms, Standards of Proving, and Remedies</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mykola%20G.%20Boichuk">Mykola G. Boichuk</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The paper concerns predatory pricing incentives and mechanisms in the markets of services, as well as its anti-competitive effects. As cost estimation at services markets is more complex in comparison to markets of goods, predatory pricing is more difficult to detect in the provision of services. For instance, this is often the case for professional services, which is analyzed in the paper. The special attention is given to employment markets as de-facto main supply markets for professional services markets. Also, the paper concerns such instances as travel agents' services, where predatory pricing may have implications not only on competition but on a wider range of public interest as well. Thus, the paper develops on effective ways to apply competition law rules on predatory pricing to the provision of services. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=employment%20markets" title="employment markets">employment markets</a>, <a href="https://publications.waset.org/abstracts/search?q=predatory%20pricing" title=" predatory pricing"> predatory pricing</a>, <a href="https://publications.waset.org/abstracts/search?q=services%20markets" title=" services markets"> services markets</a>, <a href="https://publications.waset.org/abstracts/search?q=unfair%20competition" title=" unfair competition"> unfair competition</a> </p> <a href="https://publications.waset.org/abstracts/68895/predatory-pricing-at-services-markets-incentives-mechanisms-standards-of-proving-and-remedies" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/68895.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">325</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">2153</span> The Potential Dark and Bright Part of Behavioral Biases in Investor’s Investment Decisions: Mediated Moderation of Stock Market Anomalies and Financial Literacy</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Zain%20Ul%20Abideen">Zain Ul Abideen</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The study examines the potentially dark and bright parts of behavioral biases in investors’ investment decisions in the Pakistani equity market. These biases, directly and indirectly, play a comprehensive role in controlling and deciding the investor’s investment decisions. Stock market anomalies are used as a mediator, while financial literacy is used as a moderator to check the mentioned relationship. The sample consisted of investors who have trading experience of more than two years in the stock market. The result indicates that calendar anomalies do not mediate between overconfidence bias and investment decisions. However, the study investigates the mediating role of fundamental and technical anomalies between overconfidence bias and investment decisions. Furthermore, calendar anomalies play a significant role between the disposition effect and investment decisions. Calendar anomalies also mediate between herding bias and investment decisions. Financial literacy significantly moderates between behavioral biases and stock market anomalies. This research would be beneficial for individual and professional investors in their investment decisions. They should be financially literate, consequently less biased and have no market anomalies. Investors in emerging and developed economies can make optimal decisions in their respective stock markets. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=behavioral%20biases" title="behavioral biases">behavioral biases</a>, <a href="https://publications.waset.org/abstracts/search?q=financial%20literacy" title=" financial literacy"> financial literacy</a>, <a href="https://publications.waset.org/abstracts/search?q=stock%20market%20anomalies" title=" stock market anomalies"> stock market anomalies</a>, <a href="https://publications.waset.org/abstracts/search?q=investment%20decision" title=" investment decision"> investment decision</a> </p> <a href="https://publications.waset.org/abstracts/161410/the-potential-dark-and-bright-part-of-behavioral-biases-in-investors-investment-decisions-mediated-moderation-of-stock-market-anomalies-and-financial-literacy" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/161410.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">2152</span> A Case-Based Reasoning-Decision Tree Hybrid System for Stock Selection</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Yaojun%20Wang">Yaojun Wang</a>, <a href="https://publications.waset.org/abstracts/search?q=Yaoqing%20Wang"> Yaoqing Wang</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Stock selection is an important decision-making problem. Many machine learning and data mining technologies are employed to build automatic stock-selection system. A profitable stock-selection system should consider the stock’s investment value and the market timing. In this paper, we present a hybrid system including both engage for stock selection. This system uses a case-based reasoning (CBR) model to execute the stock classification, uses a decision-tree model to help with market timing and stock selection. The experiments show that the performance of this hybrid system is better than that of other techniques regarding to the classification accuracy, the average return and the Sharpe ratio. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=case-based%20reasoning" title="case-based reasoning">case-based reasoning</a>, <a href="https://publications.waset.org/abstracts/search?q=decision%20tree" title=" decision tree"> decision tree</a>, <a href="https://publications.waset.org/abstracts/search?q=stock%20selection" title=" stock selection"> stock selection</a>, <a href="https://publications.waset.org/abstracts/search?q=machine%20learning" title=" machine learning"> machine learning</a> </p> <a href="https://publications.waset.org/abstracts/48974/a-case-based-reasoning-decision-tree-hybrid-system-for-stock-selection" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/48974.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">420</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">2151</span> Day of the Week Patterns and the Financial Trends' Role: Evidence from the Greek Stock Market during the Euro Era</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Nikolaos%20Konstantopoulos">Nikolaos Konstantopoulos</a>, <a href="https://publications.waset.org/abstracts/search?q=Aristeidis%20Samitas"> Aristeidis Samitas</a>, <a href="https://publications.waset.org/abstracts/search?q=Vasileiou%20Evangelos"> Vasileiou Evangelos </a> </p> <p class="card-text"><strong>Abstract:</strong></p> The purpose of this study is to examine if the financial trends influence not only the stock markets’ returns, but also their anomalies. We choose to study the day of the week effect (DOW) for the Greek stock market during the Euro period (2002-12), because during the specific period there are not significant structural changes and there are long term financial trends. Moreover, in order to avoid possible methodological counterarguments that usually arise in the literature, we apply several linear (OLS) and nonlinear (GARCH family) models to our sample until we reach to the conclusion that the TGARCH model fits better to our sample than any other. Our results suggest that in the Greek stock market there is a long term predisposition for positive/negative returns depending on the weekday. However, the statistical significance is influenced from the financial trend. This influence may be the reason why there are conflict findings in the literature through the time. Finally, we combine the DOW’s empirical findings from 1985-2012 and we may assume that in the Greek case there is a tendency for long lived turn of the week effect. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=day%20of%20the%20week%20effect" title="day of the week effect">day of the week effect</a>, <a href="https://publications.waset.org/abstracts/search?q=GARCH%20family%20models" title=" GARCH family models"> GARCH family models</a>, <a href="https://publications.waset.org/abstracts/search?q=Athens%20stock%20exchange" title=" Athens stock exchange"> Athens stock exchange</a>, <a href="https://publications.waset.org/abstracts/search?q=economic%20growth" title=" economic growth"> economic growth</a>, <a href="https://publications.waset.org/abstracts/search?q=crisis" title=" crisis"> crisis</a> </p> <a href="https://publications.waset.org/abstracts/6926/day-of-the-week-patterns-and-the-financial-trends-role-evidence-from-the-greek-stock-market-during-the-euro-era" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/6926.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">410</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">2150</span> Islamic Equity Markets Response to Volatility of Bitcoin</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Zakaria%20S.%20G.%20Hegazy">Zakaria S. G. Hegazy</a>, <a href="https://publications.waset.org/abstracts/search?q=Walid%20M.%20A.%20Ahmed"> Walid M. A. Ahmed</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper examines the dependence structure of Islamic stock markets on Bitcoin’s realized volatility components in bear, normal, and bull market periods. A quantile regression approach is employed, after adjusting raw returns with respect to a broad set of relevant global factors and accounting for structural breaks in the data. The results reveal that upside volatility tends to exert negative influences on Islamic developed-market returns more in bear than in bull market conditions, while downside volatility positively affects returns during bear and bull conditions. For emerging markets, we find that the upside (downside) component exerts lagged negative (positive) effects on returns in bear (all) market regimes. By and large, the dependence structures turn out to be asymmetric. Our evidence provides essential implications for investors. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=cryptocurrency%20markets" title="cryptocurrency markets">cryptocurrency markets</a>, <a href="https://publications.waset.org/abstracts/search?q=bitcoin" title=" bitcoin"> bitcoin</a>, <a href="https://publications.waset.org/abstracts/search?q=realized%20volatility%20measures" title=" realized volatility measures"> realized volatility measures</a>, <a href="https://publications.waset.org/abstracts/search?q=asymmetry" title=" asymmetry"> asymmetry</a>, <a href="https://publications.waset.org/abstracts/search?q=quantile%20regression" title=" quantile regression"> quantile regression</a> </p> <a href="https://publications.waset.org/abstracts/141351/islamic-equity-markets-response-to-volatility-of-bitcoin" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/141351.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">188</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">2149</span> Assessment of Marketing and Financial Activities of Night Markets in the Nigerian Economy</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Adedeji%20Tejumola%20Olugboja">Adedeji Tejumola Olugboja</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Night markets are physical locations in residential neighbourhoods where market parties interact. It is a kind of market where marketing activities commence by 6pm until after midnight. The problem of the study is to assess marketing activities in the night markets. Specific objectives for this study include determining volume of business activities, numbers of market parties etc in the selected night markets. The purposive sampling technique is adopted for this study and the four night markets in the area of study are selected as sample: Aggregate of 173 retailers and an average of 2583 consumers daily operate in these night markets. The use of tables, simple percentage and descriptive statistics were employed for data analysis and presentation. Findings revealed volume of marketing activities, sales per night, profit per night and savings per day in each of these night markets. Government should erect street lights and repair damaged ones in these night markets to make night markets more lucrative. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=marketing%20activities" title="marketing activities">marketing activities</a>, <a href="https://publications.waset.org/abstracts/search?q=night%20markets" title=" night markets"> night markets</a>, <a href="https://publications.waset.org/abstracts/search?q=Nigerian%20economy" title=" Nigerian economy"> Nigerian economy</a> </p> <a href="https://publications.waset.org/abstracts/118637/assessment-of-marketing-and-financial-activities-of-night-markets-in-the-nigerian-economy" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/118637.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">219</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">2148</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">142</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">2147</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">141</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">2146</span> StockTwits Sentiment Analysis on Stock Price Prediction</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Min%20Chen">Min Chen</a>, <a href="https://publications.waset.org/abstracts/search?q=Rubi%20Gupta"> Rubi Gupta</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Understanding and predicting stock market movements is a challenging problem. It is believed stock markets are partially driven by public sentiments, which leads to numerous research efforts to predict stock market trend using public sentiments expressed on social media such as Twitter but with limited success. Recently a microblogging website StockTwits is becoming increasingly popular for users to share their discussions and sentiments about stocks and financial market. In this project, we analyze the text content of StockTwits tweets and extract financial sentiment using text featurization and machine learning algorithms. StockTwits tweets are first pre-processed using techniques including stopword removal, special character removal, and case normalization to remove noise. Features are extracted from these preprocessed tweets through text featurization process using bags of words, N-gram models, TF-IDF (term frequency-inverse document frequency), and latent semantic analysis. Machine learning models are then trained to classify the tweets' sentiment as positive (bullish) or negative (bearish). The correlation between the aggregated daily sentiment and daily stock price movement is then investigated using Pearson’s correlation coefficient. Finally, the sentiment information is applied together with time series stock data to predict stock price movement. The experiments on five companies (Apple, Amazon, General Electric, Microsoft, and Target) in a duration of nine months demonstrate the effectiveness of our study in improving the prediction accuracy. <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=sentiment%20analysis" title=" sentiment analysis"> sentiment analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=stock%20price%20prediction" title=" stock price prediction"> stock price prediction</a>, <a href="https://publications.waset.org/abstracts/search?q=tweet%20processing" title=" tweet processing"> tweet processing</a> </p> <a href="https://publications.waset.org/abstracts/118738/stocktwits-sentiment-analysis-on-stock-price-prediction" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/118738.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">2145</span> Firm Performance and Stock Price in Nigeria</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Tijjani%20Bashir%20Musa">Tijjani Bashir Musa</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The recent global crisis which suddenly results to Nigerian stock market crash revealed some peculiarities of Nigerian firms. Some firms in Nigeria are performing but their stock prices are not increasing while some firms are at the brink of collapse but their stock prices are increasing. Thus, this study examines the relationship between firm performance and stock price in Nigeria. The study covered the period of 2005 to 2009. This period is the period of stock boom and also marked the period of stock market crash as a result of global financial meltdown. The study is a panel study. A total of 140 firms were sampled from 216 firms listed on the Nigerian Stock Exchange (NSE). Data were collected from secondary source. These data were divided into four strata comprising the most performing stock, the least performing stock, most performing firms and the least performing firms. Each stratum contains 35 firms with characteristic of most performing stock, most performing firms, least performing stock and least performing firms. Multiple linear regression models were used to analyse the data while statistical/econometrics package of Stata 11.0 version was used to run the data. The study found that, relationship exists between selected firm performance parameters (operating efficiency, firm profit, earning per share and working capital) and stock price. As such firm performance gave sufficient information or has predictive power on stock prices movements in Nigeria for all the years under study.. The study recommends among others that Managers of firms in Nigeria should formulate policies and exert effort geared towards improving firm performance that will enhance stock prices movements. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=firm" title="firm">firm</a>, <a href="https://publications.waset.org/abstracts/search?q=Nigeria" title=" Nigeria"> Nigeria</a>, <a href="https://publications.waset.org/abstracts/search?q=performance" title=" performance"> performance</a>, <a href="https://publications.waset.org/abstracts/search?q=stock%20price" title=" stock price"> stock price</a> </p> <a href="https://publications.waset.org/abstracts/27645/firm-performance-and-stock-price-in-nigeria" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/27645.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">477</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">2144</span> Contrasted Mean and Median Models in Egyptian Stock Markets</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mai%20A.%20Ibrahim">Mai A. Ibrahim</a>, <a href="https://publications.waset.org/abstracts/search?q=Mohammed%20El-Beltagy"> Mohammed El-Beltagy</a>, <a href="https://publications.waset.org/abstracts/search?q=Motaz%20Khorshid"> Motaz Khorshid</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Emerging Markets return distributions have shown significance departure from normality were they are characterized by fatter tails relative to the normal distribution and exhibit levels of skewness and kurtosis that constitute a significant departure from normality. Therefore, the classical Markowitz Mean-Variance is not applicable for emerging markets since it assumes normally-distributed returns (with zero skewness and kurtosis) and a quadratic utility function. Moreover, the Markowitz mean-variance analysis can be used in cases of moderate non-normality and it still provides a good approximation of the expected utility, but it may be ineffective under large departure from normality. Higher moments models and median models have been suggested in the literature for asset allocation in this case. Higher moments models have been introduced to account for the insufficiency of the description of a portfolio by only its first two moments while the median model has been introduced as a robust statistic which is less affected by outliers than the mean. Tail risk measures such as Value-at Risk (VaR) and Conditional Value-at-Risk (CVaR) have been introduced instead of Variance to capture the effect of risk. In this research, higher moment models including the Mean-Variance-Skewness (MVS) and Mean-Variance-Skewness-Kurtosis (MVSK) are formulated as single-objective non-linear programming problems (NLP) and median models including the Median-Value at Risk (MedVaR) and Median-Mean Absolute Deviation (MedMAD) are formulated as a single-objective mixed-integer linear programming (MILP) problems. The higher moment models and median models are compared to some benchmark portfolios and tested on real financial data in the Egyptian main Index EGX30. The results show that all the median models outperform the higher moment models were they provide higher final wealth for the investor over the entire period of study. In addition, the results have confirmed the inapplicability of the classical Markowitz Mean-Variance to the Egyptian stock market as it resulted in very low realized profits. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Egyptian%20stock%20exchange" title="Egyptian stock exchange">Egyptian stock exchange</a>, <a href="https://publications.waset.org/abstracts/search?q=emerging%20markets" title=" emerging markets"> emerging markets</a>, <a href="https://publications.waset.org/abstracts/search?q=higher%20moment%20models" title=" higher moment models"> higher moment models</a>, <a href="https://publications.waset.org/abstracts/search?q=median%20models" title=" median models"> median models</a>, <a href="https://publications.waset.org/abstracts/search?q=mixed-integer%20linear%20programming" title=" mixed-integer linear programming"> mixed-integer linear programming</a>, <a href="https://publications.waset.org/abstracts/search?q=non-linear%20programming" title=" non-linear programming"> non-linear programming</a> </p> <a href="https://publications.waset.org/abstracts/42897/contrasted-mean-and-median-models-in-egyptian-stock-markets" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/42897.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">315</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">2143</span> Mellowing the Mélange: Ancient Southeast Asian Kingdoms in the Asian Civilizations Museum</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Rin%20Li%20Si%20Samantha">Rin Li Si Samantha</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The Asian Civilisations Museum in Singapore contains artifacts spanning thousands of years of history and possibly hundreds of communities and nations. Based in Singapore, its collections history and curation are deeply rooted in Singapore’s national and international agendas: to be a cultural center within Southeast Asia and a global hub representing Asia to the world. As such, the position of Southeast Asian histories, particularly Southeast Asian ancient kingdoms, is a carefully negotiated one; its presence contingent on the territorialization and depoliticization of Southeast Asian ancient kingdoms, such that they remain palatable to modern nation-states and governments; its absence noted, strategically overlooked in favour of ‘grander’ cultural and global — oftentimes a misnomer for Western — narratives. This study undertakes a close reading of several key permanent exhibitions at the Asian Civilisations Museum in pursuit of how ancient Southeast Asian kingdoms are framed and forgotten to reveal a conscious mellowing of the mélange such that Singapore may be positioned as inheritor of Asia’s cultural wealth. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=museum" title="museum">museum</a>, <a href="https://publications.waset.org/abstracts/search?q=Southeast%20Asia" title=" Southeast Asia"> Southeast Asia</a>, <a href="https://publications.waset.org/abstracts/search?q=art%20history" title=" art history"> art history</a>, <a href="https://publications.waset.org/abstracts/search?q=pre-colonial" title=" pre-colonial"> pre-colonial</a>, <a href="https://publications.waset.org/abstracts/search?q=national%20narratives" title=" national narratives"> national narratives</a> </p> <a href="https://publications.waset.org/abstracts/170880/mellowing-the-melange-ancient-southeast-asian-kingdoms-in-the-asian-civilizations-museum" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/170880.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">77</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">2142</span> A Stock Exchange Analysis in Turkish Logistics Sector: Modeling, Forecasting, and Comparison with Logistics Indices </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Eti%20Mizrahi">Eti Mizrahi</a>, <a href="https://publications.waset.org/abstracts/search?q=Gizem%20%C4%B0ntepe"> Gizem İntepe</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The geographical location of Turkey that stretches from Asia to Europe and Russia to Africa makes it an important logistics hub in the region. Although logistics is a developing sector in Turkey, the stock market representation is still low with only two companies listed in Turkey’s stock exchange since 2010. In this paper, we use the daily values of these two listed stocks as a benchmark for the logistics sector. After modeling logistics stock prices, an empirical examination is conducted between the existing logistics indices and these stock prices. The paper investigates whether the measures of logistics stocks are correlated with newly available logistics indices. It also shows the reflection of the economic activity in the logistics sector on the stock exchange market. The results presented in this paper are the first analysis of the behavior of logistics indices and logistics stock prices for Turkey. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=forecasting" title="forecasting">forecasting</a>, <a href="https://publications.waset.org/abstracts/search?q=logistic%20stock%20exchange" title=" logistic stock exchange"> logistic stock exchange</a>, <a href="https://publications.waset.org/abstracts/search?q=modeling" title=" modeling"> modeling</a>, <a href="https://publications.waset.org/abstracts/search?q=Africa" title=" Africa "> Africa </a> </p> <a href="https://publications.waset.org/abstracts/15459/a-stock-exchange-analysis-in-turkish-logistics-sector-modeling-forecasting-and-comparison-with-logistics-indices" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/15459.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">541</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">2141</span> Conformity and Differentiation in CSR Practices on Capital Market Performance: Empirical Evidence from Stock Liquidity and Price Crash Risk</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Jie%20Zhang">Jie Zhang</a>, <a href="https://publications.waset.org/abstracts/search?q=Chaomin%20Zhang"> Chaomin Zhang</a>, <a href="https://publications.waset.org/abstracts/search?q=Jihua%20Zhang"> Jihua Zhang</a>, <a href="https://publications.waset.org/abstracts/search?q=Haitong%20Li"> Haitong Li</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Using the theory of optimal distinctiveness, this study examines the effects of conformity and differentiation within corporate social responsibility (CSR) practices on capital market performance. Analysing data from Chinese A-share listed firms from 2007 to 2022, this paper demonstrates that when firms conform to the expected scope of CSR, such behaviour enhances investor attention and market acceptance, thereby boosting stock liquidity. Conversely, emphasising differentiation in CSR practices more effectively mitigates stock price crash risk by addressing principal–agent problems and decreasing information asymmetry. This paper also investigates how organisational and environmental factors moderate the relationship between conformity and differentiation in CSR practices and their impact on capital market performance. The results also show that the influence of conformity on stock liquidity is accentuated in smaller firms and environments with stringent legal oversight. By contrast, the benefits of differentiation in reducing stock price crash risk are amplified in firms with robust corporate governance and markets characterised by high uncertainty. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=corporate%20social%20responsibility" title="corporate social responsibility">corporate social responsibility</a>, <a href="https://publications.waset.org/abstracts/search?q=social%20responsibility%20practices" title=" social responsibility practices"> social responsibility practices</a>, <a href="https://publications.waset.org/abstracts/search?q=capital%20market%20performance" title=" capital market performance"> capital market performance</a>, <a href="https://publications.waset.org/abstracts/search?q=optimal%20distinctiveness" title=" optimal distinctiveness"> optimal distinctiveness</a> </p> <a href="https://publications.waset.org/abstracts/192548/conformity-and-differentiation-in-csr-practices-on-capital-market-performance-empirical-evidence-from-stock-liquidity-and-price-crash-risk" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/192548.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">20</span> </span> </div> </div> <ul class="pagination"> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=Asian%20stock%20markets&page=1" rel="prev">&lsaquo;</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=Asian%20stock%20markets&page=1">1</a></li> <li class="page-item active"><span class="page-link">2</span></li> <li class="page-item"><a class="page-link" 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