首页    期刊浏览 2024年11月08日 星期五
登录注册

文章基本信息

  • 标题:The Predictive Power of Multi-Factor Asset Pricing Models: Evidence from Pakistani Banks
  • 本地全文:下载
  • 作者:SALIM, Muhammad ; HASHMI, Muhammad Arsalan ; ABDULLAH, A.
  • 期刊名称:Journal of Asian Finance, Economics and Business
  • 印刷版ISSN:2288-4637
  • 电子版ISSN:2288-4645
  • 出版年度:2021
  • 卷号:8
  • 期号:11
  • 页码:1-10
  • DOI:10.13106/jafeb.2021.vol8.no11.0001
  • 语种:English
  • 出版社:Korean Distribution Science Association
  • 摘要:This paper compares the performance of Fama-French three-factor and five-factor models using a dataset of 20 Pakistani commercial banks for the period 2011 to 2020. We focus on an emerging economy as the findings from earlier studies on developed countries cannot be generalized in emerging markets. For empirical analysis, twelve portfolios were developed based on size, market capitalization, investment strategy, and growth. Subsequently, we constructed five Fama-French factors namely, RM, SMB, HML, RMW, and CMA. The OLS regression technique with robust standard errors was applied to compare the predictive power of both the Fama-French models. Further, we also compared the mean-variance efficiency of the Fama-French models through the GRS test. Our empirical analysis provides three unique and interesting findings. First, both asset pricing models have similar predictive power to explain the expected portfolio returns in most cases. Second, our results from the GRS test suggest that there is no noticeable difference in the mean-variance efficiency of one asset pricing model over the other. Third, we find that all factors of both Fama-French models are statistically significant and are important for explaining the volatility of expected commercial bank returns in the context of Pakistan.
  • 关键词:Asset Pricing Model;Fama-French Three-Factor Model;Fama-French Five-Factor Model;GRS Test;Expected Portfolio Return
国家哲学社会科学文献中心版权所有