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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="house price index"> <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> 5262</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: house price index</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">5262</span> Analysis of Spatial Heterogeneity of Residential Prices in Guangzhou: An Actual Study Based on Point of Interest Geographically Weighted Regression Model</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Zichun%20Guo">Zichun Guo</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Guangzhou's house price has long been lower than the other three major cities; with the gradual increase in Guangzhou's house price, the influencing factors of house price have gradually been paid attention to; this paper tries to use house price data and POI (Point of Interest) data, and explores the distribution of house price and influencing factors by applying the Kriging spatial interpolation method and geographically weighted regression model in ArcGIS. The results show that the interpolation result of house price has a significant relationship with the economic development and development potential of the region and that different POI types have different impacts on the growth of house prices in different regions. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=POI" title="POI">POI</a>, <a href="https://publications.waset.org/abstracts/search?q=house%20price" title=" house price"> house price</a>, <a href="https://publications.waset.org/abstracts/search?q=spatial%20heterogeneity" title=" spatial heterogeneity"> spatial heterogeneity</a>, <a href="https://publications.waset.org/abstracts/search?q=Guangzhou" title=" Guangzhou"> Guangzhou</a> </p> <a href="https://publications.waset.org/abstracts/185907/analysis-of-spatial-heterogeneity-of-residential-prices-in-guangzhou-an-actual-study-based-on-point-of-interest-geographically-weighted-regression-model" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/185907.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">5261</span> Housing Price Prediction Using Machine Learning Algorithms: The Case of Melbourne City, Australia</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=The%20Danh%20Phan">The Danh Phan</a> </p> <p class="card-text"><strong>Abstract:</strong></p> House price forecasting is a main topic in the real estate market research. Effective house price prediction models could not only allow home buyers and real estate agents to make better data-driven decisions but may also be beneficial for the property policymaking process. This study investigates the housing market by using machine learning techniques to analyze real historical house sale transactions in Australia. It seeks useful models which could be deployed as an application for house buyers and sellers. Data analytics show a high discrepancy between the house price in the most expensive suburbs and the most affordable suburbs in the city of Melbourne. In addition, experiments demonstrate that the combination of Stepwise and Support Vector Machine (SVM), based on the Mean Squared Error (MSE) measurement, consistently outperforms other models in terms of prediction accuracy. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=house%20price%20prediction" title="house price prediction">house price prediction</a>, <a href="https://publications.waset.org/abstracts/search?q=regression%20trees" title=" regression trees"> regression trees</a>, <a href="https://publications.waset.org/abstracts/search?q=neural%20network" title=" neural network"> neural network</a>, <a href="https://publications.waset.org/abstracts/search?q=support%20vector%20machine" title=" support vector machine"> support vector machine</a>, <a href="https://publications.waset.org/abstracts/search?q=stepwise" title=" stepwise"> stepwise</a> </p> <a href="https://publications.waset.org/abstracts/98230/housing-price-prediction-using-machine-learning-algorithms-the-case-of-melbourne-city-australia" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/98230.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">231</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">5260</span> House Price Index Predicts a Larger Impact of Habitat Loss than Primary Productivity on the Biodiversity of North American Avian Communities</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Marlen%20Acosta%20Alamo">Marlen Acosta Alamo</a>, <a href="https://publications.waset.org/abstracts/search?q=Lisa%20Manne"> Lisa Manne</a>, <a href="https://publications.waset.org/abstracts/search?q=Richard%20Veit"> Richard Veit</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Habitat loss due to land use change is one of the leading causes of biodiversity loss worldwide. This form of habitat loss is a non-random phenomenon since the same environmental factors that make an area suitable for supporting high local biodiversity overlap with those that make it attractive for urban development. We aimed to compare the effect of two non-random habitat loss predictors on the richness, abundance, and rarity of nature-affiliated and human-affiliated North American breeding birds. For each group of birds, we simulated the non-random habitat loss using two predictors: the House Price Index as a measure of the attractiveness of an area for humans and the Normalized Difference Vegetation Index as a proxy for primary productivity. We compared the results of the two non-random simulation sets and one set of random habitat loss simulations using an analysis of variance and followed up with a Tukey-Kramer test when appropriate. The attractiveness of an area for humans predicted estimates of richness loss and increase of rarity higher than primary productivity and random habitat loss for nature-affiliated and human-affiliated birds. For example, at 50% of habitat loss, the attractiveness of an area for humans produced estimates of richness at least 5% lower and of a rarity at least 40% higher than primary productivity and random habitat loss for both groups of birds. Only for the species abundance of nature-affiliated birds, the attractiveness of an area for humans did not outperform primary productivity as a predictor of biodiversity following habitat loss. We demonstrated the value of the House Price Index, which can be used in conservation assessments as an index of the risks of habitat loss for natural communities. Thus, our results have relevant implications for sustainable urban land-use planning practices and can guide stakeholders and developers in their efforts to conserve local biodiversity. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=biodiversity%20loss" title="biodiversity loss">biodiversity loss</a>, <a href="https://publications.waset.org/abstracts/search?q=bird%20biodiversity" title=" bird biodiversity"> bird biodiversity</a>, <a href="https://publications.waset.org/abstracts/search?q=house%20price%20index" title=" house price index"> house price index</a>, <a href="https://publications.waset.org/abstracts/search?q=non-random%20habitat%20loss" title=" non-random habitat loss"> non-random habitat loss</a> </p> <a href="https://publications.waset.org/abstracts/163832/house-price-index-predicts-a-larger-impact-of-habitat-loss-than-primary-productivity-on-the-biodiversity-of-north-american-avian-communities" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/163832.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">5259</span> The Impact of Macroeconomic Factors on Tehran Stock Exchange Index during Economic and Oil Sanctions between January 2006 and December 2012</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Hamed%20Movahedizadeh">Hamed Movahedizadeh</a>, <a href="https://publications.waset.org/abstracts/search?q=Annuar%20Md%20Nassir"> Annuar Md Nassir</a>, <a href="https://publications.waset.org/abstracts/search?q=Mehdi%20Karimimalayer"> Mehdi Karimimalayer</a>, <a href="https://publications.waset.org/abstracts/search?q=Navid%20Samimi%20Sedeh"> Navid Samimi Sedeh</a>, <a href="https://publications.waset.org/abstracts/search?q=Ehsan%20Bagherpour"> Ehsan Bagherpour</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The aim of this paper is to evaluate Tehran’s Stock Exchange (TSE) performance regarding with impact of four macroeconomic factors including world crude Oil Price (OP), World Gold Price (GP), Consumer Price Index (CPI) and total Supplied Oil by Iran (SO) from January 2006 to December 2012 that Iran faced with economic and oil sanctions. Iran's exports of crude oil and lease condensate reduced to roughly 1.5 million barrels per day (bbl/d) in 2012, compared to 2.5 million bbl/d in 2011 due to hard sanctions. Monthly data are collected and subjected to a battery of tests through ordinary least square by EViews7. This study found that gold price and oil price are positively correlated with stock returns while total oil supplied and consumer price index have negative relationship with stock index, however, consumer price index tends to become insignificant in stock index. While gold price and consumer price index have short run relationship with TSE index at 10% of significance level this amount for oil price is significant at 5% and there is no significant short run relationship between supplied oil and Tehran stock returns. Moreover, this study found that all macroeconomic factors have long-run relationship with Tehran Stock Exchange Index. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=consumer%20price%20index" title="consumer price index">consumer price index</a>, <a href="https://publications.waset.org/abstracts/search?q=gold%20price" title=" gold price"> gold price</a>, <a href="https://publications.waset.org/abstracts/search?q=macroeconomic" title=" macroeconomic"> macroeconomic</a>, <a href="https://publications.waset.org/abstracts/search?q=oil%20price" title=" oil price"> oil price</a>, <a href="https://publications.waset.org/abstracts/search?q=sanction" title=" sanction"> sanction</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=supplied%20oil" title=" supplied oil"> supplied oil</a> </p> <a href="https://publications.waset.org/abstracts/3992/the-impact-of-macroeconomic-factors-on-tehran-stock-exchange-index-during-economic-and-oil-sanctions-between-january-2006-and-december-2012" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/3992.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">489</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">5258</span> Co-Integration Model for Predicting Inflation Movement in Nigeria</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Salako%20Rotimi">Salako Rotimi</a>, <a href="https://publications.waset.org/abstracts/search?q=Oshungade%20Stephen"> Oshungade Stephen</a>, <a href="https://publications.waset.org/abstracts/search?q=Ojewoye%20Opeyemi"> Ojewoye Opeyemi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The maintenance of price stability is one of the macroeconomic challenges facing Nigeria as a nation. This paper attempts to build a co-integration multivariate time series model for inflation movement in Nigeria using data extracted from the abstract of statistics of the Central Bank of Nigeria (CBN) from 2008 to 2017. The Johansen cointegration test suggests at least one co-integration vector describing the long run relationship between Consumer Price Index (CPI), Food Price Index (FPI) and Non-Food Price Index (NFPI). All three series show increasing pattern, which indicates a sign of non-stationary in each of the series. Furthermore, model predictability was established with root-mean-square-error, mean absolute error, mean average percentage error, and Theil’s unbiased statistics for n-step forecasting. The result depicts that the long run coefficient of a consumer price index (CPI) has a positive long-run relationship with the food price index (FPI) and non-food price index (NFPI). <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=economic" title="economic">economic</a>, <a href="https://publications.waset.org/abstracts/search?q=inflation" title=" inflation"> inflation</a>, <a href="https://publications.waset.org/abstracts/search?q=model" title=" model"> model</a>, <a href="https://publications.waset.org/abstracts/search?q=series" title=" series"> series</a> </p> <a href="https://publications.waset.org/abstracts/109868/co-integration-model-for-predicting-inflation-movement-in-nigeria" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/109868.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">244</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">5257</span> The Effect of Oil Price Uncertainty on Food Price in South Africa</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Goodness%20C.%20Aye">Goodness C. Aye</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper examines the effect of the volatility of oil prices on food price in South Africa using monthly data covering the period 2002:01 to 2014:09. Food price is measured by the South African consumer price index for food while oil price is proxied by the Brent crude oil. The study employs the GARCH-in-mean VAR model, which allows the investigation of the effect of a negative and positive shock in oil price volatility on food price. The model also allows the oil price uncertainty to be measured as the conditional standard deviation of a one-step-ahead forecast error of the change in oil price. The results show that oil price uncertainty has a positive and significant effect on food price in South Africa. The responses of food price to a positive and negative oil price shocks is asymmetric. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=oil%20price%20volatility" title="oil price volatility">oil price volatility</a>, <a href="https://publications.waset.org/abstracts/search?q=food%20price" title=" food price"> food price</a>, <a href="https://publications.waset.org/abstracts/search?q=bivariate" title=" bivariate"> bivariate</a>, <a href="https://publications.waset.org/abstracts/search?q=GARCH-in-mean%20VAR" title=" GARCH-in-mean VAR"> GARCH-in-mean VAR</a>, <a href="https://publications.waset.org/abstracts/search?q=asymmetric" title=" asymmetric"> asymmetric</a> </p> <a href="https://publications.waset.org/abstracts/28399/the-effect-of-oil-price-uncertainty-on-food-price-in-south-africa" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/28399.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">5256</span> Targeted Effects of Subsidies on Prices of Selected Commodities in Iran Market</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Sayedramin%20Hashemianesfehani">Sayedramin Hashemianesfehani</a>, <a href="https://publications.waset.org/abstracts/search?q=Seyed%20Hossein%20Hosseinilargani"> Seyed Hossein Hosseinilargani</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this study, we attempt to realize that to what extent the increase in selected commodities in Iran Market is originated from the implementation of the targeted subsidies law. Hence, an econometric model based on existing theories of increasing and transferring prices in order to transferring inflation is developed. In other words, world price index and virtual variables defined for targeted subsidies has significant and positive impact on the producer price index. The obtained results indicated that the targeted subsidies act in Iran has influential long and short-term impacts on producer price indexes. Finally, world prices of dairy products and dairy price with respect to major parameters is carried out to obtain some managerial ‎results. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=econometric%20models" title="econometric models">econometric models</a>, <a href="https://publications.waset.org/abstracts/search?q=targeted%20subsidies" title=" targeted subsidies"> targeted subsidies</a>, <a href="https://publications.waset.org/abstracts/search?q=consumer%20price%20index%20%28CPI%29" title=" consumer price index (CPI)"> consumer price index (CPI)</a>, <a href="https://publications.waset.org/abstracts/search?q=producer%20price%20index%20%28PPI%29" title=" producer price index (PPI)"> producer price index (PPI)</a> </p> <a href="https://publications.waset.org/abstracts/33574/targeted-effects-of-subsidies-on-prices-of-selected-commodities-in-iran-market" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/33574.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">359</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">5255</span> Factors Influencing the Housing Price: Developers’ Perspective</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ernawati%20Mustafa%20Kamal">Ernawati Mustafa Kamal</a>, <a href="https://publications.waset.org/abstracts/search?q=Hasnanywati%20Hassan"> Hasnanywati Hassan</a>, <a href="https://publications.waset.org/abstracts/search?q=Atasya%20Osmadi"> Atasya Osmadi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The housing industry is crucial for sustainable development of every country. Housing is a basic need that can enhance the quality of life. Owning a house is therefore the main aim of individuals. However, affordability has become a critical issue towards homeownership. In recent years, housing price in the main cities has increased tremendously to unaffordable level. This paper investigates factors influencing the housing price from developer’s perspective and provides recommendation on strategies to tackle this issue. Online and face-to-face survey was conducted on housing developers operating in Penang, Malaysia. The results indicate that (1) location; (2) macroeconomics factor; (3) demographic factors; (4) land/zoning and; (5) industry factors are the main factors influencing the housing price. This paper contributes towards better understanding on developers’ view on how the housing price is determined and form a basis for government to help tackle the housing affordability issue. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=factors%20influence" title="factors influence">factors influence</a>, <a href="https://publications.waset.org/abstracts/search?q=house%20price" title=" house price"> house price</a>, <a href="https://publications.waset.org/abstracts/search?q=housing%20developers" title=" housing developers"> housing developers</a>, <a href="https://publications.waset.org/abstracts/search?q=Malaysia" title=" Malaysia"> Malaysia</a> </p> <a href="https://publications.waset.org/abstracts/41899/factors-influencing-the-housing-price-developers-perspective" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/41899.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">396</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">5254</span> The Influence of Oil Price Fluctuations on Macroeconomics Variables of the Kingdom of Saudi Arabia</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Khalid%20Mujaljal">Khalid Mujaljal</a>, <a href="https://publications.waset.org/abstracts/search?q=Hassan%20Alhajhoj"> Hassan Alhajhoj</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper empirically investigates the influence of oil price fluctuations on the key macroeconomic variables of the Kingdom of Saudi Arabia using unrestricted VAR methodology. Two analytical tools- Granger-causality and variance decomposition are used. The Granger-causality test reveals that almost all specifications of oil price shocks significantly Granger-cause GDP and demonstrates evidence of causality between oil price changes and money supply (M3) and consumer price index percent (CPIPC) in the case of positive oil price shocks. Surprisingly, almost all specifications of oil price shocks do not Granger-cause government expenditure. The outcomes from variance decomposition analysis suggest that positive oil shocks contribute about 25 percent in causing inflation in the country. Also, contribution of symmetric linear oil price shocks and asymmetric positive oil price shocks is significant and persistent with 25 percent explaining variation in world consumer price index till end of the period. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Granger%20causality" title="Granger causality">Granger causality</a>, <a href="https://publications.waset.org/abstracts/search?q=oil%20prices%20changes" title=" oil prices changes"> oil prices changes</a>, <a href="https://publications.waset.org/abstracts/search?q=Saudi%20Arabian%20economy" title=" Saudi Arabian economy"> Saudi Arabian economy</a>, <a href="https://publications.waset.org/abstracts/search?q=variance%20decomposition" title=" variance decomposition"> variance decomposition</a> </p> <a href="https://publications.waset.org/abstracts/7014/the-influence-of-oil-price-fluctuations-on-macroeconomics-variables-of-the-kingdom-of-saudi-arabia" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/7014.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">322</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">5253</span> General Framework for Price Regulation of Container Terminals</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Murat%20Yildiz">Murat Yildiz</a>, <a href="https://publications.waset.org/abstracts/search?q=Burcu%20Yildiz"> Burcu Yildiz</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Price Cap Regulation is a form of economic regulation designed in the 1980s in the United Kingdom. Price cap regulation sets a cap on the price that the utility provider can charge. The cap is set according to several economic factors, such as the price cap index, expected efficiency savings and inflation. It has been used by several countries as a regulatory regime in several sectors. Container port privatization is still in early stages in some countries. Lack of a general framework can be an impediment to privatization. This paper aims a general framework to comprising decisions to be made for variables which are able to accommodate the variety of container terminals. Several approaches that may be needed as well as a passage between approaches. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Price%20Cap%20Regulation" title="Price Cap Regulation">Price Cap Regulation</a>, <a href="https://publications.waset.org/abstracts/search?q=ports%20privatization" title=" ports privatization"> ports privatization</a>, <a href="https://publications.waset.org/abstracts/search?q=container%20terminal%20price%20regime" title=" container terminal price regime"> container terminal price regime</a>, <a href="https://publications.waset.org/abstracts/search?q=earning%20sharing" title=" earning sharing"> earning sharing</a> </p> <a href="https://publications.waset.org/abstracts/46297/general-framework-for-price-regulation-of-container-terminals" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/46297.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">360</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">5252</span> Price Heterogeneity in Establishing Real Estate Composite Price Index as Underlying Asset for Property Derivatives in Russia</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Andrey%20Matyukhin">Andrey Matyukhin</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Russian official statistics have been showing a steady decline in residential real estate prices for several consecutive years. Price risk in real estate markets is thus affecting various groups of economic agents, namely, individuals, construction companies and financial institutions. Potential use of property derivatives might help mitigate adverse consequences of negative price dynamics. Unless a sustainable price indicator is developed, settlement of such instruments imposes constraints on counterparties involved while imposing restrictions on real estate market development. The study addresses geographical and classification heterogeneity in real estate prices by means of variance analysis in various groups of real estate properties. In conclusion, we determine optimal sample structure of representative real estate assets with sufficient level of price homogeneity. The composite price indicator based on the sample would have a higher level of robustness and reliability and hence improving liquidity in the market for property derivatives through underlying standardization. Unlike the majority of existing real estate price indices, calculated on country-wide basis, the optimal indices for Russian market shall be constructed on the city-level. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=price%20homogeneity" title="price homogeneity">price homogeneity</a>, <a href="https://publications.waset.org/abstracts/search?q=property%20derivatives" title=" property derivatives"> property derivatives</a>, <a href="https://publications.waset.org/abstracts/search?q=real%20estate%20price%20index" title=" real estate price index"> real estate price index</a>, <a href="https://publications.waset.org/abstracts/search?q=real%20estate%20price%20risk" title=" real estate price risk"> real estate price risk</a> </p> <a href="https://publications.waset.org/abstracts/84668/price-heterogeneity-in-establishing-real-estate-composite-price-index-as-underlying-asset-for-property-derivatives-in-russia" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/84668.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">5251</span> Modernization of the Economic Price Adjustment Software</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Roger%20L.%20Goodwin">Roger L. Goodwin</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The US Consumer Price Indices (CPIs) measures hundreds of items in the US economy. Many social programs and government benefits index to the CPIs. In mid to late 1990, much research went into changes to the CPI by a Congressional Advisory Committee. One thing can be said from the research is that, aside from there are alternative estimators for the CPI; any fundamental change to the CPI will affect many government programs. The purpose of this project is to modernize an existing process. This paper will show the development of a small, visual, software product that documents the Economic Price Adjustment (EPA) for long-term contracts. The existing workbook does not provide the flexibility to calculate EPAs where the base-month and the option-month are different. Nor does the workbook provide automated error checking. The small, visual, software product provides the additional flexibility and error checking. This paper presents the feedback to project. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Consumer%20Price%20Index" title="Consumer Price Index">Consumer Price Index</a>, <a href="https://publications.waset.org/abstracts/search?q=Economic%20Price%20Adjustment" title=" Economic Price Adjustment"> Economic Price Adjustment</a>, <a href="https://publications.waset.org/abstracts/search?q=contracts" title=" contracts"> contracts</a>, <a href="https://publications.waset.org/abstracts/search?q=visualization%20tools" title=" visualization tools"> visualization tools</a>, <a href="https://publications.waset.org/abstracts/search?q=database" title=" database"> database</a>, <a href="https://publications.waset.org/abstracts/search?q=reports" title=" reports"> reports</a>, <a href="https://publications.waset.org/abstracts/search?q=forms" title=" forms"> forms</a>, <a href="https://publications.waset.org/abstracts/search?q=event%20procedures" title=" event procedures"> event procedures</a> </p> <a href="https://publications.waset.org/abstracts/9851/modernization-of-the-economic-price-adjustment-software" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/9851.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">317</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">5250</span> Influence Analysis of Macroeconomic Parameters on Real Estate Price Variation in Taipei, Taiwan</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Li%20Li">Li Li</a>, <a href="https://publications.waset.org/abstracts/search?q=Kai-Hsuan%20Chu"> Kai-Hsuan Chu</a> </p> <p class="card-text"><strong>Abstract:</strong></p> It is well known that the real estate price depends on a lot of factors. Each house current value is dependent on the location, room number, transportation, living convenience, year and surrounding environments. Although, there are different experienced models for housing agent to estimate the price, it is a case by case study without overall dynamic variation investigation. However, many economic parameters may more or less influence the real estate price variation. Here, the influences of most macroeconomic parameters on real estate price are investigated individually based on least-square scheme and grey correlation strategy. Then those parameters are classified into leading indices, simultaneous indices and laggard indices. In addition, the leading time period is evaluated based on least square method. The important leading and simultaneous indices can be used to establish an artificial intelligent neural network model for real estate price variation prediction. The real estate price variation of Taipei, Taiwan during 2005 ~ 2017 are chosen for this research data analysis and validation. The results show that the proposed method has reasonable prediction function for real estate business reference. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=real%20estate%20price" title="real estate price">real estate price</a>, <a href="https://publications.waset.org/abstracts/search?q=least-square" title=" least-square"> least-square</a>, <a href="https://publications.waset.org/abstracts/search?q=grey%20correlation" title=" grey correlation"> grey correlation</a>, <a href="https://publications.waset.org/abstracts/search?q=macroeconomics" title=" macroeconomics"> macroeconomics</a> </p> <a href="https://publications.waset.org/abstracts/100459/influence-analysis-of-macroeconomic-parameters-on-real-estate-price-variation-in-taipei-taiwan" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/100459.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">198</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">5249</span> The Relations between Spatial Structure and Land Price</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Jung-Hun%20Cho">Jung-Hun Cho</a>, <a href="https://publications.waset.org/abstracts/search?q=Tae-Heon%20Moon"> Tae-Heon Moon</a>, <a href="https://publications.waset.org/abstracts/search?q=Jin-Hak%20Lee"> Jin-Hak Lee</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Land price contains the comprehensive characteristics of urban space, representing the social and economic features of the city. Accordingly, land price can be utilized as an indicator, which can identify the changes of spatial structure and socioeconomic variations caused by urban development. This study attempted to explore the changes in land price by a new road construction. Methodologically, it adopted Space Syntax, which can interpret urban spatial structure comprehensively, to identify the relationship between the forms of road networks and land price. The result of the regression analysis showed the ‘integration index’ of Space Syntax is statistically significant and has a strong correlation with land price. If the integration value is high, land price increases proportionally. Subsequently, using regression equation, it tried to predict the land price changes of each of the lots surrounding the roads that are newly opened. The research methods or study results have the advantage of predicting the changes in land price in an easy way. In addition, it will contribute to planners and project managers to establish relevant polices and smoothing urban regeneration projects through enhancing residents’ understanding by providing possible results and advantages in their land price before the execution of urban regeneration and development projects. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=space%20syntax" title="space syntax">space syntax</a>, <a href="https://publications.waset.org/abstracts/search?q=urban%20regeneration" title=" urban regeneration"> urban regeneration</a>, <a href="https://publications.waset.org/abstracts/search?q=spatial%20structure" title=" spatial structure"> spatial structure</a>, <a href="https://publications.waset.org/abstracts/search?q=official%20land%20price" title=" official land price"> official land price</a> </p> <a href="https://publications.waset.org/abstracts/56584/the-relations-between-spatial-structure-and-land-price" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/56584.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">328</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">5248</span> Application of the Quantile Regression Approach to the Heterogeneity of the Fine Wine Prices</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Charles-Olivier%20Am%C3%A9d%C3%A9e-Manesme">Charles-Olivier Amédée-Manesme</a>, <a href="https://publications.waset.org/abstracts/search?q=Benoit%20Faye"> Benoit Faye</a>, <a href="https://publications.waset.org/abstracts/search?q=Eric%20Le%20Fur"> Eric Le Fur</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this paper, the heterogeneity of the Bordeaux Legends 50 wine market price segment is addressed. For this purpose, quantile regression is applied – with market segmentation based on wine bottle price quantile – and the hedonic price of wine attributes is computed for various price segments of the market. The approach is applied to a major privately held data set which consists of approximately 30,000 transactions over the 2003–2014 period. The findings suggest that the relative hedonic prices of several wine attributes differ significantly among deciles. In particular, the elasticity coefficient of the expert ratings shows strong variation among prices. If - as suggested in the literature - expert ratings have a positive influence on wine price on average, they have a clearly decreasing impact over the quantiles. Finally, the lower the wine price, the higher the potential for price appreciation over time. Other variables such as chateaux or vintage are also shown to vary across the distribution of wine prices. While enhancing our understanding of the complex market dynamics that underlie Bordeaux wines’ price, this research provides empirical evidence that the QR approach adequately captures heterogeneity among wine price ranges, which simultaneously applies to wine stock, vintage and auctions’ house. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=hedonics" title="hedonics">hedonics</a>, <a href="https://publications.waset.org/abstracts/search?q=market%20segmentation" title=" market segmentation"> market segmentation</a>, <a href="https://publications.waset.org/abstracts/search?q=quantile%20regression" title=" quantile regression"> quantile regression</a>, <a href="https://publications.waset.org/abstracts/search?q=heterogeneity" title=" heterogeneity"> heterogeneity</a>, <a href="https://publications.waset.org/abstracts/search?q=wine%20economics" title=" wine economics"> wine economics</a> </p> <a href="https://publications.waset.org/abstracts/70068/application-of-the-quantile-regression-approach-to-the-heterogeneity-of-the-fine-wine-prices" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/70068.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">340</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">5247</span> A Research on Inference from Multiple Distance Variables in Hedonic Regression Focus on Three Variables</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Yan%20Wang">Yan Wang</a>, <a href="https://publications.waset.org/abstracts/search?q=Yasushi%20Asami"> Yasushi Asami</a>, <a href="https://publications.waset.org/abstracts/search?q=Yukio%20Sadahiro"> Yukio Sadahiro</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In urban context, urban nodes such as amenity or hazard will certainly affect house price, while classic hedonic analysis will employ distance variables measured from each urban nodes. However, effects from distances to facilities on house prices generally do not represent the true price of the property. Distance variables measured on the same surface are suffering a problem called multicollinearity, which is usually presented as magnitude variance and mean value in regression, errors caused by instability. In this paper, we provided a theoretical framework to identify and gather the data with less bias, and also provided specific sampling method on locating the sample region to avoid the spatial multicollinerity problem in three distance variable’s case. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=hedonic%20regression" title="hedonic regression">hedonic regression</a>, <a href="https://publications.waset.org/abstracts/search?q=urban%20node" title=" urban node"> urban node</a>, <a href="https://publications.waset.org/abstracts/search?q=distance%20variables" title=" distance variables"> distance variables</a>, <a href="https://publications.waset.org/abstracts/search?q=multicollinerity" title=" multicollinerity"> multicollinerity</a>, <a href="https://publications.waset.org/abstracts/search?q=collinearity" title=" collinearity "> collinearity </a> </p> <a href="https://publications.waset.org/abstracts/18033/a-research-on-inference-from-multiple-distance-variables-in-hedonic-regression-focus-on-three-variables" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/18033.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">465</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">5246</span> Behavior of Iran Stock Exchange and Impacts of US Oil and Financial Markets</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Erfan%20Memarian">Erfan Memarian</a>, <a href="https://publications.waset.org/abstracts/search?q=Seyyed%20Fazayel%20Alizadeh"> Seyyed Fazayel Alizadeh</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This study aims to evaluate the impacts of the oil and financial markets of the United States on Iran stock exchange and to develop an ARDL model to predict the short and long-term relationship between these markets. In this regard, all 713 weekly data between 28 July 1999 and 20 March 2013 were analyzed by using Microfit4.0 and Eviews7 econometric softwares. The independent variable of the study is the “Price and Yield Index (TEDPIX)” of Tehran Stock Exchange and the independent variables include S & P 500 Index, the US three-month treasury bill rate and West Texas Intermediate oil spot price index. The results show that the West Texas Intermediate oil spot price and the S&P 500 indices have significant positive relationships with Iran's TEDPIX. Also, there exists a significant negative relationship between Iran's TEDPIX and the US three-month Treasury bill rate. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=TEDPIX%3B%20Tehran%20Stock%20Exchange%3B%20S%26P%20500%20index%3B%20USA%20three-month%20Treasury%20bill%20rate%3B%20West%20Texas%20Intermediate%20oil" title="TEDPIX; Tehran Stock Exchange; S&P 500 index; USA three-month Treasury bill rate; West Texas Intermediate oil">TEDPIX; Tehran Stock Exchange; S&P 500 index; USA three-month Treasury bill rate; West Texas Intermediate oil</a> </p> <a href="https://publications.waset.org/abstracts/8744/behavior-of-iran-stock-exchange-and-impacts-of-us-oil-and-financial-markets" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/8744.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">324</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">5245</span> A Theory and Empirical Analysis on the Efficency of Chinese Electricity Pricing</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Jianlin%20Wang">Jianlin Wang</a>, <a href="https://publications.waset.org/abstracts/search?q=Jiajia%20Zhao"> Jiajia Zhao</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper applies the theory and empirical method to examine the relationship between electricity price and coal price, as well as electricity and industry output, for China during Jan 1999-Dec 2012. Our results indicate that there is no any causality between coal price and electricity price under other factors are controlled. However, we found a bi-directional causality between electricity consumption and industry output. Overall, the electricity price set by China’s NDRC is inefficient, which lead to the electricity supply shortage after 2004. It is time to reform electricity price system for China’s reformers. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=electricity%20price" title="electricity price">electricity price</a>, <a href="https://publications.waset.org/abstracts/search?q=coal%20price" title=" coal price"> coal price</a>, <a href="https://publications.waset.org/abstracts/search?q=power%20supply" title=" power supply"> power supply</a>, <a href="https://publications.waset.org/abstracts/search?q=China" title=" China"> China</a> </p> <a href="https://publications.waset.org/abstracts/9560/a-theory-and-empirical-analysis-on-the-efficency-of-chinese-electricity-pricing" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/9560.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">469</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">5244</span> Effect of Addition and Reduction of Sharia Index Constituents</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Rosyidah">Rosyidah</a>, <a href="https://publications.waset.org/abstracts/search?q=Permata%20Wulandari"> Permata Wulandari</a> </p> <p class="card-text"><strong>Abstract:</strong></p> We investigate the price effect of addition and deletions from the Indonesia Sharia Stock Index (ISSI) and Jakarta Islamic Index (JII). Using event study methodology, we measure abnormal returns for firms over the period June 2019 - to December 2021. Through the sample of 107 additions and 95 deletions, we find evidence to support the theory of Muslim country investment behavior. We find that additions to the Islamic index led to a significant positive stock market reaction and deletions to the Islamic index led to a negative stock market reaction on Jakarta Islamic Index (JII) and there is no significant reaction of addition and deletion on Indonesia Sharia Stock Index (ISSI). <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=abnormal%20return" title="abnormal return">abnormal return</a>, <a href="https://publications.waset.org/abstracts/search?q=abnormal%20volume" title=" abnormal volume"> abnormal volume</a>, <a href="https://publications.waset.org/abstracts/search?q=event%20study" title=" event study"> event study</a>, <a href="https://publications.waset.org/abstracts/search?q=index%20changes" title=" index changes"> index changes</a>, <a href="https://publications.waset.org/abstracts/search?q=sharia%20index" title=" sharia index"> sharia index</a> </p> <a href="https://publications.waset.org/abstracts/149421/effect-of-addition-and-reduction-of-sharia-index-constituents" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/149421.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">130</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">5243</span> Estimation of Break Points of Housing Price Growth Rate for Top MSAs in Texas Area</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Hui%20Wu">Hui Wu</a>, <a href="https://publications.waset.org/abstracts/search?q=Ye%20Li"> Ye Li</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Applying the structural break estimation method proposed by Perron and Bai (1998) to the housing price growth rate of top 5 MSAs in the Texas area, this paper estimated the structural break date for the growth rate of housing prices index. As shown in the estimation results, the break dates for each region are quite different, which indicates the heterogeneity of the housing market in response to macroeconomic conditions. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=structural%20break" title="structural break">structural break</a>, <a href="https://publications.waset.org/abstracts/search?q=housing%20prices%20index" title=" housing prices index"> housing prices index</a>, <a href="https://publications.waset.org/abstracts/search?q=ADF%20test" title=" ADF test"> ADF test</a>, <a href="https://publications.waset.org/abstracts/search?q=linear%20model" title=" linear model"> linear model</a> </p> <a href="https://publications.waset.org/abstracts/145280/estimation-of-break-points-of-housing-price-growth-rate-for-top-msas-in-texas-area" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/145280.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">150</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">5242</span> Using Monte Carlo Model for Simulation of Rented Housing in Mashhad, Iran</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mohammad%20Rahim%20Rahnama">Mohammad Rahim Rahnama</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The study employs Monte Carlo method for simulation of rented housing in Mashhad second largest city in Iran. A total number of 334 rental residential units in Mashhad, including both apartments and houses (villa), were randomly selected from advertisements placed in Khorasan Newspapers during the months of July and August of 2015. In order to simulate the monthly rent price, the rent index was calculated through combining the mortgage and the rent price. In the next step, the relation between the variables of the floor area and that of the number of bedrooms for each unit, in both apartments and houses(villa), was calculated through multivariate regression using SPSS and was coded in XML. The initial model was called using simulation button in SPSS and was simulated using triangular and binominal algorithms. The findings revealed that the average simulated rental index was 548.5$ per month. Calculating the sensitivity of rental index to a number of bedrooms we found that firstly, 97% of units have three bedrooms, and secondly as the number of bedrooms increases from one to three, for the rent price of less than 200$, the percentage of units having one bedroom decreases from 10% to 0. Contrariwise, for units with the rent price of more than 571.4$, the percentage of bedrooms increases from 37% to 48%. In the light of these findings, it becomes clear that planning to build rental residential units, overseeing the rent prices, and granting subsidies to rental residential units, for apartments with two bedrooms, present a felicitous policy for regulating residential units in Mashhad. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mashhad" title="Mashhad">Mashhad</a>, <a href="https://publications.waset.org/abstracts/search?q=Monte%20Carlo" title=" Monte Carlo"> Monte Carlo</a>, <a href="https://publications.waset.org/abstracts/search?q=simulation" title=" simulation"> simulation</a>, <a href="https://publications.waset.org/abstracts/search?q=rent%20price" title=" rent price"> rent price</a>, <a href="https://publications.waset.org/abstracts/search?q=residential%20unit" title=" residential unit"> residential unit</a> </p> <a href="https://publications.waset.org/abstracts/62954/using-monte-carlo-model-for-simulation-of-rented-housing-in-mashhad-iran" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/62954.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">275</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">5241</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">5240</span> Commodity Price Shocks and Monetary Policy</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Faisal%20Algosair">Faisal Algosair</a> </p> <p class="card-text"><strong>Abstract:</strong></p> We examine the role of monetary policy in the presence of commodity price shocks using a Dynamic stochastic general equilibrium (DSGE) model with price and wage rigidities. The model characterizes a commodity exporter by its degree of export diversification, and explores the following monetary regimes: flexible domestic inflation targeting; flexible Consumer Price Index inflation targeting; exchange rate peg; and optimal rule. An increase in the degree of diversification is found to mitigate responses to commodity shocks. The welfare comparison suggests that a flexible exchange rate regime under the optimal rule is preferred to an exchange rate peg. However, monetary policy provides limited stabilization effects in an economy with low degree of export diversification. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=business%20cycle" title="business cycle">business cycle</a>, <a href="https://publications.waset.org/abstracts/search?q=commodity%20price" title=" commodity price"> commodity price</a>, <a href="https://publications.waset.org/abstracts/search?q=exchange%20rate" title=" exchange rate"> exchange rate</a>, <a href="https://publications.waset.org/abstracts/search?q=global%20financial%20cycle" title=" global financial cycle"> global financial cycle</a> </p> <a href="https://publications.waset.org/abstracts/165579/commodity-price-shocks-and-monetary-policy" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/165579.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">5239</span> The Aspect of Urban Inequality after Urban Redevelopment Projects</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Sungik%20Kang">Sungik Kang</a>, <a href="https://publications.waset.org/abstracts/search?q=Ja-Hoon%20Koo"> Ja-Hoon Koo</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Globally, urban environments have become unequal, and cities have been segmented by income class. It is predicted that urban inequality has arisen by urban redevelopment and reconstruction projects that improve the urban environment and innovate cities. This study aims to analyze the occurrence and characteristics of urban inequality by using the housing price and sale price and demonstrating the correlation with the urban redevelopment project. This study measures 14 years of urban inequality index for 25 autonomous districts in Seoul and analyzes the correlation between urban inequality with urban redevelopment projects. As a conclusion of this study, first, the urban inequality index of Seoul has been continuously rising since 2015. Trends from 2006 to 2019 have been in U-curved shape in between 2015. In 2019, Seoul's urban inequality index was 0.420, a level similar to that of the 2007 financial crisis. Second, the correlation between urban redevelopment and urban inequality was not statistically significant. Therefore, we judged that urban redevelopment's scale or project structure has nothing with urban inequality. Third, while district designation of urban reconstruction temporarily alleviates urban inequality, the completion of the project increases urban inequality. When designating a district, urban inequality is likely to decrease due to decreased outdated housing transactions. However, the correlation with urban inequality increases as expensive houses has been placed after project completion. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=urban%20inequality" title="urban inequality">urban inequality</a>, <a href="https://publications.waset.org/abstracts/search?q=urban%20redevelopment%20projects" title=" urban redevelopment projects"> urban redevelopment projects</a>, <a href="https://publications.waset.org/abstracts/search?q=urban%20reconstruction%20projects" title=" urban reconstruction projects"> urban reconstruction projects</a>, <a href="https://publications.waset.org/abstracts/search?q=housing%20price%20inequality" title=" housing price inequality"> housing price inequality</a>, <a href="https://publications.waset.org/abstracts/search?q=panel%20analysis" title=" panel analysis"> panel analysis</a> </p> <a href="https://publications.waset.org/abstracts/141883/the-aspect-of-urban-inequality-after-urban-redevelopment-projects" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/141883.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">207</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">5238</span> Intended-Actual First Asking/Offer Price Discrepancies and Their Impact on Negotiation Behaviour and Outcomes</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Liuyao%20Chai">Liuyao Chai</a>, <a href="https://publications.waset.org/abstracts/search?q=Colin%20Clark"> Colin Clark</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Analysis of 574 participants in a simulated two-person distributive negotiation revealed that the first price 245 (42.7%) of these participants actually asked/offered for the item under negotiation (a used car) differed from the first price they previously stated they intended to ask/offer during their negotiation. This discrepancy between a negotiator’s intended first asking/offer price and his/her actual first asking/offer price had a significant and economically consequential impact on both the course and the outcomes of the negotiations studied. Participants whose actual first price remained the same as their intended first price tended to secure better negotiation outcomes. Moreover, participants who changed their intended first price tended to obtain relatively lower outcomes regardless of whether their modified first announced price had created a negotiating position that was ‘stronger’ or ‘weaker’ than if they had opened with their intended first price. Subsequent investigation of over twenty negotiation behaviours and pre-negotiation perceptual variables within this dataset indicated that the three types of first price announcers—i.e. intended first asking/offer price ‘weakeners’, ‘maintainers’ and ‘strengtheners’— comprised persons who tended to have significantly different pre-negotiation perceptions and behaved in systematically different ways during their negotiation. Typically, the most negative, outcome-compromising consequences of changing, weakening or strengthening an intended first price occurred at the very beginning of a negotiation when participants exchanged their actual first asking/offer prices. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=business%20communication" title="business communication">business communication</a>, <a href="https://publications.waset.org/abstracts/search?q=negotiation" title=" negotiation"> negotiation</a>, <a href="https://publications.waset.org/abstracts/search?q=persuasion" title=" persuasion"> persuasion</a>, <a href="https://publications.waset.org/abstracts/search?q=intended%20first%20asking%2Foffer%20prices" title=" intended first asking/offer prices"> intended first asking/offer prices</a>, <a href="https://publications.waset.org/abstracts/search?q=bargaining" title=" bargaining"> bargaining</a> </p> <a href="https://publications.waset.org/abstracts/24182/intended-actual-first-askingoffer-price-discrepancies-and-their-impact-on-negotiation-behaviour-and-outcomes" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/24182.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">370</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">5237</span> Preference for Housing Services and Rational House Price Bubbles</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Stefanie%20Jeanette%20Huber">Stefanie Jeanette Huber</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper explores the relevance and implications of preferences for housing services on house price fluctuations through the lens of an overlapping generation’s model. The model implies that an economy whose agents have lower preferences for housing services is characterized with lower expenditure shares on housing services and will tend to experience more frequent and more volatile housing bubbles. These model predictions are tested empirically in the companion paper Housing Booms and Busts - Convergences and Divergences across OECD countries. Between 1970 - 2013, countries who spend less on housing services as a share of total income experienced significantly more housing cycles and the associated housing boom-bust cycles were more violent. Finally, the model is used to study the impact of rental subsidies and help-to-buy schemes on rational housing bubbles. Rental subsidies are found to contribute to the control of housing bubbles, whereas help-to- buy scheme makes the economy more bubble-prone. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=housing%20bubbles" title="housing bubbles">housing bubbles</a>, <a href="https://publications.waset.org/abstracts/search?q=housing%20booms%20and%20busts" title=" housing booms and busts"> housing booms and busts</a>, <a href="https://publications.waset.org/abstracts/search?q=preference%20for%20housing%20services" title=" preference for housing services"> preference for housing services</a>, <a href="https://publications.waset.org/abstracts/search?q=expenditure%20shares%20for%20housing%20services" title=" expenditure shares for housing services"> expenditure shares for housing services</a>, <a href="https://publications.waset.org/abstracts/search?q=rental%20and%20purchase%20subsidies" title=" rental and purchase subsidies"> rental and purchase subsidies</a> </p> <a href="https://publications.waset.org/abstracts/46437/preference-for-housing-services-and-rational-house-price-bubbles" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/46437.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">5236</span> The Martingale Options Price Valuation for European Puts Using Stochastic Differential Equation Models</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=H.%20C.%20Chinwenyi">H. C. Chinwenyi</a>, <a href="https://publications.waset.org/abstracts/search?q=H.%20D.%20Ibrahim"> H. D. Ibrahim</a>, <a href="https://publications.waset.org/abstracts/search?q=F.%20A.%20Ahmed"> F. A. Ahmed</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In modern financial mathematics, valuing derivatives such as options is often a tedious task. This is simply because their fair and correct prices in the future are often probabilistic. This paper examines three different Stochastic Differential Equation (SDE) models in finance; the Constant Elasticity of Variance (CEV) model, the Balck-Karasinski model, and the Heston model. The various Martingales option price valuation formulas for these three models were obtained using the replicating portfolio method. Also, the numerical solution of the derived Martingales options price valuation equations for the SDEs models was carried out using the Monte Carlo method which was implemented using MATLAB. Furthermore, results from the numerical examples using published data from the Nigeria Stock Exchange (NSE), all share index data show the effect of increase in the underlying asset value (stock price) on the value of the European Put Option for these models. From the results obtained, we see that an increase in the stock price yields a decrease in the value of the European put option price. Hence, this guides the option holder in making a quality decision by not exercising his right on the option. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=equivalent%20martingale%20measure" title="equivalent martingale measure">equivalent martingale measure</a>, <a href="https://publications.waset.org/abstracts/search?q=European%20put%20option" title=" European put option"> European put option</a>, <a href="https://publications.waset.org/abstracts/search?q=girsanov%20theorem" title=" girsanov theorem"> girsanov theorem</a>, <a href="https://publications.waset.org/abstracts/search?q=martingales" title=" martingales"> martingales</a>, <a href="https://publications.waset.org/abstracts/search?q=monte%20carlo%20method" title=" monte carlo method"> monte carlo method</a>, <a href="https://publications.waset.org/abstracts/search?q=option%20price%20valuation%20formula" title=" option price valuation formula"> option price valuation formula</a> </p> <a href="https://publications.waset.org/abstracts/111011/the-martingale-options-price-valuation-for-european-puts-using-stochastic-differential-equation-models" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/111011.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">5235</span> Revisiting the Impact of Oil Price on Trade Deficit of Pakistan: Evidence from Nonlinear Auto-Regressive Distributed Lag Model and Asymmetric Multipliers</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Qaiser%20Munir">Qaiser Munir</a>, <a href="https://publications.waset.org/abstracts/search?q=Hamid%20Hussain"> Hamid Hussain</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Oil prices are believed to have a major impact on several economic indicators, leading to several instances where a comparison between oil prices and a trade deficit of oil-importing countries have been carried out. Building upon the narrative, this paper sheds light on the ongoing debate by inquiring upon the possibility of asymmetric linkages between oil prices, industrial production, exchange rate, whole price index, and trade deficit. The analytical tool used to further understand the complexities of a recent approach called nonlinear auto-regressive distributed lag model (NARDL) is utilised. Our results suggest that there are significant asymmetric effects among the main variables of interest. Further, our findings indicate that any variation in oil prices, industrial production, exchange rate, and whole price index on trade deficit tend to fluctuate in the long run. Moreover, the long-run picture denotes that increased oil price leads to a negative impact on the trade deficit, which, in its true essence, is a disproportionate impact. In addition to this, the Wald test simultaneously conducted concludes the absence of any significant evidence of the asymmetry in the oil prices impact on the trade balance in the short-run. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=trade%20deficit" title="trade deficit">trade deficit</a>, <a href="https://publications.waset.org/abstracts/search?q=oil%20prices" title=" oil prices"> oil prices</a>, <a href="https://publications.waset.org/abstracts/search?q=developing%20economy" title=" developing economy"> developing economy</a>, <a href="https://publications.waset.org/abstracts/search?q=NARDL" title=" NARDL"> NARDL</a> </p> <a href="https://publications.waset.org/abstracts/114070/revisiting-the-impact-of-oil-price-on-trade-deficit-of-pakistan-evidence-from-nonlinear-auto-regressive-distributed-lag-model-and-asymmetric-multipliers" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/114070.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">133</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">5234</span> Study of NGL Feed Price Calculation for a Typical NGL Fractionation Plant</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Simin%20Eydivand">Simin Eydivand</a>, <a href="https://publications.waset.org/abstracts/search?q=Ali%20Ghanadieslami"> Ali Ghanadieslami</a>, <a href="https://publications.waset.org/abstracts/search?q=Reza%20Amiri"> Reza Amiri</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Natural gas liquids (NGLs) are light hydrocarbons that are dissolved in associated or non‐associated natural gas in a hydrocarbon reservoir and are produced within a gas stream. There are different ways to calculate the price of NGL. In this study, a spreadsheet calculation method is used for calculation of NGL price with an attractive economy of IRR 25%. For a typical NGL Plant with 3,200,000 t/y capacity of investment and operation of 90% capacity to have IRR 25%, the price of NGL is calculated 277 $/t. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=natural%20gas%20liquid" title="natural gas liquid">natural gas liquid</a>, <a href="https://publications.waset.org/abstracts/search?q=NGL" title=" NGL"> NGL</a>, <a href="https://publications.waset.org/abstracts/search?q=LPG" title=" LPG"> LPG</a>, <a href="https://publications.waset.org/abstracts/search?q=price" title=" price"> price</a>, <a href="https://publications.waset.org/abstracts/search?q=NGL%20fractionation" title=" NGL fractionation"> NGL fractionation</a>, <a href="https://publications.waset.org/abstracts/search?q=NF" title=" NF"> NF</a>, <a href="https://publications.waset.org/abstracts/search?q=investment" title=" investment"> investment</a>, <a href="https://publications.waset.org/abstracts/search?q=IRR" title=" IRR"> IRR</a>, <a href="https://publications.waset.org/abstracts/search?q=NPV" title=" NPV"> NPV</a> </p> <a href="https://publications.waset.org/abstracts/33705/study-of-ngl-feed-price-calculation-for-a-typical-ngl-fractionation-plant" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/33705.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">406</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">5233</span> Design and Modeling of Amphibious Houses for Flood Prone Areas: The Case of Nigeria</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Onyebuchi%20Mogbo">Onyebuchi Mogbo</a>, <a href="https://publications.waset.org/abstracts/search?q=Abdulsalam%20%20Mohammed"> Abdulsalam Mohammed</a>, <a href="https://publications.waset.org/abstracts/search?q=Salsabila%20Wali"> Salsabila Wali</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This research discusses the design and modeling of an amphibious building. The amphibious building is a house with the function of floating during a flood event. Over the years, houses have been built to resist flood events some of which have failed. The floating house is designed to work with nature and not against it. In the event of a flood, the house will rise with the increasing water level and protect the house from sinking. For the design and modeling of this house an estimated cost of N250, 000, approximately $700, will be needed. It is expected that the house will rise when lightweight materials are incorporated in the design, and the concrete dock (in form of a hollow box) carrying the entire house in its hollow space is well designed. When there is flooding the water will fill up the concrete dock, and the house will rise upwards with vertical guides preventing it from moving side to side or out of its boundary. Architectural and Structural designs will be used in this project. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=amphibious%20building" title="amphibious building">amphibious building</a>, <a href="https://publications.waset.org/abstracts/search?q=flood" title=" flood"> flood</a>, <a href="https://publications.waset.org/abstracts/search?q=housing" title=" housing"> housing</a>, <a href="https://publications.waset.org/abstracts/search?q=design%20and%20modelling" title=" design and modelling"> design and modelling</a> </p> <a href="https://publications.waset.org/abstracts/102918/design-and-modeling-of-amphibious-houses-for-flood-prone-areas-the-case-of-nigeria" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/102918.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 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