Comparison of Market, Size and Value Premium of Random Samples in KSE and Non KSE 100 Companies

Muhammad Ammad, Muhammad Sohail Alam Khan, Brekhana Gul
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Abstract

This study is directed towards the identification of key risk variables that explains the variations in expected stocks’ returns and gives rise to Risk Premium for taking an extra riskin addition to the opportunity cost of risk free rate incorporated in stocks’ returns. For this purpose, monthly returns of 37 companies (randomly 20 samples selected from KSE and non KSE-100 each) listed on the Karachi Stock Exchange were calculated for a period covering six years from January 2008 up till December 2013. The excess return (portfolio return minus risk-free rate) on these 37 companies is sorted in six size and value portfolios. KSE 100 Index was used as a proxy for benchmark Index, and six months T-bills’ yield was used as a proxy for the risk-free rate. Regression results strongly evidenced size and value premium as factors explaining the variations in expected returns for the multi factor model. The variation explained by these factors found more in non KSE-100 than KSE. This study strongly supported two factors (SMB
KSE和非KSE 100公司市场、规模和随机样本价值溢价的比较
本研究旨在找出解释股票预期收益变化的关键风险变量,并在股票收益中包含的无风险利率的机会成本之外增加额外的风险,从而产生风险溢价。为此,我们计算了卡拉奇证券交易所37家上市公司的月收益(从KSE和非KSE-100中随机抽取20家样本),时间跨度为6年,从2008年1月至2013年12月。这37家公司的超额收益(投资组合收益减去无风险利率)分为6个规模和价值投资组合。以KSE 100指数代表基准指数,以6个月国库券收益率代表无风险利率。回归结果有力地证明了规模和价值溢价是解释多因素模型预期收益变化的因素。这些因素解释的变异在非KSE-100中比在KSE-100中发现的更多。本研究强烈支持两个因素(SMB
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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