The Validity and Reliability Performance Evaluation of the Fama-French Six Risk Premium Factors Model: Evidence from the Capital Stock Market of Pakistan

Author:

Tahir Mr. Muhammad,Usman Prof. Dr. Abid

Abstract

The study goal, aims, purpose and objective are to examine the Validity, Reliability and Performance Evaluation of the Fama-French Six Risk Premium Factor’s Model: Evidence from Capital Stock Market of Pakistan. The sample used were the balance sheet and Income statements annual reports of an eligible Non-Financial Companies issued from a State Bank of Pakistan (SBP). However, the idea for portfolio creation and a breakpoint have taken from keneath french data side. The sample data is 130 Non-Financial Companies covering the actual analysis from July 2014 to June, 2019.  The (2x2) = 4 sort approaches for emerging markets and returns are used to construct portfolio and breakpoints for the SMB, HML, RMW, CMA, and WML other than Mkt-Rft. A total set of 16 set of portfolios are designed from dual categorization (Bivariate) designed for separately couple of size and one additional factor. A whole set of (4x4= 16), portfolios shaped as a dependent factor typically recognized as left-hand-side portfolios (LHS) and the same for independent risk premium factors for right hand side (RHS). The study found and concluded regarding the intercepts that all 16 set of four portfolios are insignificant and there are no pricing errors in the time of cost determination and predictions. The other objectives regarding slopes are found and concluded that the slopes of all risk premium i.e., MKT, SMB, HML, RMW, CMA, and WML and along with error correction term ECT (-1) are all positives and negatives and also statistically significant and explaining and predicting the average portfolio returns for 16 set of portfolios excess returns. The third main objectives regarding the other performance evaluation indicators, proposed to FF6F model’s relatively greater descriptive and explanatory power in each group of portfolios. Further, the value of R-squared is less than Durbin Watson value, means there is no sign of spurious linear regression too. Finally, it is found and concluded that the quality criteria suggests that the small values of Avg|α| or Avg|α-α ̅|in all equations are as the better model. It is further found and concluded that the Avg|α| of all six risk premium factors asset pricing models are the lowest values and acceptable range. It also further found and concluded that the fGRS and pGRS display the alpha is insignificant for 16 set of portfolios The research identifies that the asset pricing models are relatively more effective for diversified portfolios than concentrated portfolios and it is challenging to find a model that is effective in explaining the variation in the returns of any portfolio, but there is the possibility of finding a portfolio which works for a model and the investors can maximize their returns with a carefully chosen portfolio based on particular characteristics with a fewer number of stocks. Study proposes that corporate managers, policymakers, financial experts, and individual investors should have a stronger understanding of how to forecast stock prices on the Pakistan Stock Market, since it will help them when they are making investment decisions.

Reference59 articles.

1. Aurangzeb, A. Z. (2003). Relationship between health expenditure and GDP

2. in an augmented Solow growth model for Pakistan: An application of

3. co-integration and error-correction modeling. Lahore Journal of Economics, 8(2), 1-16.

4. Avramov, D., & Chordia, T. (2006). Predicting stock returns. Journal of Financial Economics, 82(2), 387-415.

5. Banz, R. W. (1981). The relationship between return and market value of common stocks. Journal of financial economics, 9(1), 3-18.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3