Cross-sectional test of the Fama-French three-factor model: Evidence from Bangladesh stock market

2014 ◽  
Author(s):  
Md. Zobaer Hasan ◽  
Anton Abdulbasah Kamil
Ekonomika ◽  
2010 ◽  
Vol 89 (4) ◽  
pp. 85-95 ◽  
Author(s):  
Raimonds Lieksnis

This study investigates whether the Fama–French three-factor asset pricing model is applicable for explaining cross-sectional returns of stocks listed in the Baltic stock exchanges. Findings confirm the validity and economic significance of the three-factor model for the Baltic stock market: only investors who chose to invest in value stocks during the reference period achieved positive returns by matching or beating the returns of the stock market index. The monthly returns of 8 Latvian, 13 Estonian and 27 Lithuanian company stocks are analyzed for the time period from June 2002 till February 2010 by the methodology presented in Davis, Fama, and French (2000). Cross-sectional multivariate regression is calculated with stock portfolios representing the book-to-market and capitalization of companies as independent variables along with the stock market index. The study concludes that these three factors in the three-factor model are statistically significant, but, in line with earlier studies, regression intercepts are significantly different from zero and the model is not statistically confirmed.p>


2019 ◽  
Vol 12 (1) ◽  
pp. 52 ◽  
Author(s):  
Nada S. Ragab ◽  
Rabab K. Abdou ◽  
Ahmed M. Sakr

The focus of this paper is to test whether the Fama and French three-factor and five factor models can capture the variations of returns in the Egyptian stock market as one of the growing emerging markets over the time-period July 2005 to June 2016. To achieve this aim, following Fama and French (2015), the authors construct the Fama and French factors and three sets of test portfolios which are: 10 portfolios double-sorted on size and the BE/ME ratio, 10 portfolios double-sorted on size and operating profitability, and 10 portfolios double-sorted on size and investment for the Egyptian stock market. Using time-series regressions and the GRS test, the results show that although both models cannot be rejected as valid asset pricing models when applied to portfolios double-sorted on size and the BE/ME ratio, they still leave substantial variations in returns unexplained given their low adjusted R2 values. Similarly, when the two models are applied to portfolios double-sorted on size and investment, the results of the GRS test show that both models cannot be rejected. However, when the two models are applied to portfolios double-sorted on size and operating profitability, the results of the GRS test show that both models are strongly rejected which imply that both models leave substantial variations in returns related to size and profitability unexplained. Specifically, the biggest challenge to the two models is the big portfolio with weak profitability which generate a significantly negative intercept implying that the models overestimate its return.


Think India ◽  
2016 ◽  
Vol 19 (1) ◽  
pp. 01-09
Author(s):  
Vanita Tripathi ◽  
Varun Bhandari

The question of whether socially responsible stocks outperform or under-perform general stocks has been of keen interest for various researchers and academicians. This paper seeks to empirically examine the performance of socially responsible portfolios across various sectors and index of socially responsible and general companies in Indian stock market. We have taken up S&P ESG and CNX NIFTY as the indices of socially responsible and general companies respectively. ESG index has been classified into six different sectors on the basis of GICS. Performance has been evaluated in terms of risk, return and various risk-adjusted measures like Sharpe ratio, Treynor ratio, Double Sharpe ratio, Modified Sharpe ratio, M2 measure, Jensens alpha, Famas decomposition measure, etc. We have also checked whether market model is sufficient to explain cross sectional variation in stock returns or we need Fama-French three factor model. The study period ranges from January 1996 – December 2013 and it is further divided into different sub-periods. We find that socially responsible stocks across IT, FMCG and financial sectors are well rewarding in Indian stock market by generating significantly higher returns and outperforming the two indices on the basis of risk-adjusted measures employed during 18 year period and different sub-periods. The results uphold even with the use of market model and Fama-French three factor model by generating highest significant excess returns. There is no empirical evidence on the performance evaluation of socially responsible portfolios across different sectors. Hence this study is first of its kind. This will help investors in selecting best sector for investment in socially responsible companies. Significant higher returns of ESG index and socially responsible stocks across different sectors make Socially Responsible Investing (SRI) a better investment vehicle for investors in India. This is the time when general companies should change their approach and agenda towards CSR and start considering ESG issues as their investment themes. The regulators, policy makers and mutual funds should come up with different socially responsible products and sectoral indices to initiate the movement of SRI across different sectors in India.


2018 ◽  
Vol 51 (3) ◽  
pp. 389-420
Author(s):  
Florian Kiesel, ◽  
Andreas Lübbering, ◽  
Dirk Schiereck

Author(s):  
Vanita Tripathi ◽  
Varun Bhandari

The question of whether socially responsible stocks outperform or under-perform general stocks has been of keen interest for various researchers and academicians. This paper seeks to empirically examine the performance of socially responsible portfolios across various sectors and index of socially responsible and general companies in Indian stock market. We have taken up S&P ESG and CNX NIFTY as the indices of socially responsible and general companies respectively. ESG index has been classified into six different sectors on the basis of GICS. Performance has been evaluated in terms of risk, return and various risk-adjusted measures like Sharpe ratio, Treynor ratio, Double Sharpe ratio, Modified Sharpe ratio, M2 measure, Jensens alpha, Famas decomposition measure, etc. We have also checked whether market model is sufficient to explain cross sectional variation in stock returns or we need Fama-French three factor model. The study period ranges from January 1996 December 2013 and it is further divided into different sub-periods. We find that socially responsible stocks across IT, FMCG and financial sectors are well rewarding in Indian stock market by generating significantly higher returns and outperforming the two indices on the basis of risk-adjusted measures employed during 18 year period and different sub-periods. The results uphold even with the use of market model and Fama-French three factor model by generating highest significant excess returns. There is no empirical evidence on the performance evaluation of socially responsible portfolios across different sectors. Hence this study is first of its kind. This will help investors in selecting best sector for investment in socially responsible companies. Significant higher returns of ESG index and socially responsible stocks across different sectors make Socially Responsible Investing (SRI) a better investment vehicle for investors in India. This is the time when general companies should change their approach and agenda towards CSR and start considering ESG issues as their investment themes. The regulators, policy makers and mutual funds should come up with different socially responsible products and sectoral indices to initiate the movement of SRI across different sectors in India.


2017 ◽  
Vol 30 (4) ◽  
pp. 379-394 ◽  
Author(s):  
Raheel Safdar ◽  
Chen Yan

Purpose This study aims to investigate information risk in relation to stock returns of a firm and whether information risk is priced in China. Design/methodology/approach The authors used accruals quality (AQ) as their measure of information risk and performed Fama-Macbeth regressions to investigate association of AQ with future realized stock returns. Moreover, two-stage cross-sectional regression analysis was performed, both at firm level and at portfolio level, to test if the AQ factor is priced in China in addition to existing factors in the Fama French three-factor model. Findings The authors found poor AQ being associated with higher future realized stock returns. Moreover, they found evidence of market pricing of AQ in addition to existing factors in the Fama French three-factor model. Further, subsample analysis revealed that investors value AQ more in non-state owned enterprises than in state owned enterprises. Research limitations/implications The study sample comprises A-shares only and the generalization of the findings is limited by the peculiar institutional and economic setup in China. Originality/value This study contributes to market-based accounting literature by providing further insight into how and if investors value information risk, and it seeks to fill gap in empirical literature by providing evidence from the Chinese capital market.


2019 ◽  
Vol 5 (1) ◽  
Author(s):  
Moinak Maiti

AbstractThe present study focused on one of the important South Asian nations—Sri Lanka—to examine the role of idiosyncratic volatility in asset prices. A four-factor model with idiosyncratic volatility was designed for capturing the market, size, value and idiosyncratic risk yields better than Fama and French’s (J Financ Econ 33:3–56, 1993) three-factor model and performance of the model. Fama–MacBeth’s cross-sectional regression, residual graphs and GRS test all confirm the superiority of four-factor model over 2 three-factor models. For all MC- and IVOL-based portfolios, idiosyncratic volatility is negatively related to the expected returns and positively related for all PB-based portfolios. Finally, study findings confirm that there is a high importance for idiosyncratic volatility risk factor while considering investment decision in Colombo stock exchange. Hence, investor should compensate for holding such risk factors in the portfolio.


2015 ◽  
Vol 11 (1) ◽  
pp. 189
Author(s):  
Omar Gharaibeh

<p>This paper examines whether there is evidence of an inter-firm value in the returns of Qatar firms. The long-term return contrarian and book-to-market strategies are approaches commonly used to test for value effect. This study documents statistically significant abnormal profits of an inter-firm value effect with two measures. The long-term return contrarian and BE/ME strategies provide significant abnormal raw returns of 1.17% and 1.64% per month, respectively. Although each of the value strategies earns significant unadjusted profits, these profits can be explained by the Fama-French three-factor model.</p>


Sign in / Sign up

Export Citation Format

Share Document