The Role of CAPM and Oil Prices to Analyze the Firm’s Stock Return

Muqaddas Khalid, K. Khan, H. Saleem
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Abstract

This paper attempts to analyze the applicability of CAPM and the effect of oil prices on firm’s stock in case of Pakistan. To examine this research objective, we use the yearly data of 148 listed firms over the period of 2006 to 2015. We employ three different estimation techniques, panel correlated standard error estimation (PCSE), Driscoll and Kraay (DK) estimation and common correlated effects pooled (CCEP), to analyze the relationship between oil variables and firm’s stock return. Moreover, we further estimate the variables by using robust estimation techniques to validate the empirical results. The estimations report the inapplicable of market premium in case of Pakistani firms. However, the oil price and lagged oil prices provides the evidence of negative and statistically significance in textile, sugar, cement, chemical and engineering sectors. On contrary, the oil prices and lagged oil prices have positive and significant impact on stock return in transportation and energy sectors. In conclusion, it is difficult to escape the conclusion that oil price has higher influence on stock returns as compared to the market premium and nearly all the manufacturing sectors are inversely affected by the oil price rise.
CAPM和油价对企业股票收益分析的作用
本文试图以巴基斯坦为例,分析CAPM的适用性以及油价对企业股票的影响。为了检验这一研究目标,我们使用了148家上市公司2006年至2015年的年度数据。本文采用面板相关标准误差估计(PCSE)、Driscoll and Kraay估计(DK)和共同相关效应池(CCEP)三种不同的估计技术,分析了石油变量与企业股票收益之间的关系。此外,我们使用稳健估计技术进一步估计变量以验证实证结果。这些估计报告了市场溢价不适用于巴基斯坦公司的情况。然而,石油价格和滞后石油价格在纺织、糖、水泥、化学和工程部门提供了负和统计显著性的证据。相反,油价和滞后油价对交通运输和能源行业的股票回报率有显著的正向影响。综上所述,与市场溢价相比,油价对股票收益的影响更大,几乎所有制造业部门都受到油价上涨的负影响。
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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