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Impact of Capital Asset Pricing Model (CAPM) on Pakistan (The Case of KSE 100 Index)

机译:资本资产定价模型(CAPM)对巴基斯坦的影响(以KSE 100指数为例)

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In this paper two estimated return on stock models i.e. standard Capital Asset Pricing Model (CAPM) and 3 F Models are compared in order to get information that which determine better estimates the return on stock in Pakistani capital market. For this purpose time series monthly data from secondary sources for a period of 2003 to 2007 has been taken. CAPM were tested for the five sizes and book to market portfolios from Karachi Stock Exchange. Pakistan T-bill rate is taken as risk free rate. However basic problem with (CAMP) was predictive power Predictive power and Robustness of results. For this purpose capital asset pricing model was applied. Dependent variable portfolio represented by. The excessive return shows the return above that of the risk free rate that is required by the investor for taking additional risk. While independent variables were market risk premium. Research Findings are as follows: CAPM better estimated the return in Pakistani capital market as compared to Fama and French Three Factor model In case of CAPM, it was able to show the existence of risk premium as the only factor affecting the stock return. CAPM better estimates the return on equity in the context of Pakistani capital market so it is preferable to use, however, caution should be exercised in generalizing the applying the result on other stock markets because F&F model has estimated well in most stock markets of the world. Key w ords : CAMP, Market portfolio, KSE, Risk Premium i ii , Fama & French 3 factor model
机译:在本文中,比较了两种估计的股票收益模型,即标准资本资产定价模型(CAPM)和3 F模型,以获得能够更好地估计巴基斯坦资本市场股票收益的信息。为此目的,已收集了来自二级渠道的2003年至2007年的月度数据。 CAPM经过了卡拉奇证券交易所的五种规模和按市值计价的投资组合测试。巴基斯坦国库券利率被视为无风险利率。但是(CAMP)的基本问题是预测能力预测能力和结果的鲁棒性。为此,使用了资本资产定价模型。代表的因变量组合。超额收益表明收益高于投资者承担额外风险所需的无风险利率。而自变量是市场风险溢价。研究结果如下:与Fama和法国的三因素模型相比,CAPM可以更好地估计巴基斯坦资本市场的收益。在CAPM的情况下,它可以证明存在风险溢价作为影响股票收益的唯一因素。 CAPM可以更好地估计巴基斯坦资本市场背景下的股本回报率,因此最好使用它,但是,在将结果应用于其他股票市场时应谨慎行事,因为F&F模型在世界上大多数股票市场上的估计都不错。关键指标:CAMP,市场组合,KSE,风险溢价II,Fama和法国3因子模型

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