scholarly journals A State-Space Version of Fama and French’s Three-Factor Model: Evidence from the Tunisian Stock Exchange

2016 ◽  
Vol 11 (11) ◽  
pp. 214
Author(s):  
Nejla Bergaoui ◽  
Abdelwahed Trabelsi
Keyword(s):  
Business Cycle ◽  
State Space ◽  
Factor Model ◽  
Stock Exchange ◽  
Credit Market ◽  
Market Conditions ◽  
Macroeconomic Factors ◽  
The Business Cycle ◽  
Fama And French ◽  
Three Factor

We develop a state-space version of the three-factor model of Fama and French (1993) for exploring the macroeconomic determinants of risk underlying size (SMB) and value (HML) factors. To the best of our knowledge, this is the first study that examines how loadings on HML and SMB factors are affected by unanticipated changes in macroeconomic factors and whether they exhibit an asymmetric behavior over the business cycle. We test the hypothesis that the betas associated with HML and SMB factors of firms with different size or a different BE/ME ratio react differently to changes in macroeconomic conditions. In addition to the hypothesis that some type of stocks (value and small ones) become more responsive to such a change during period of economic contraction than during an expansion. Our focus is the Tunisian stock Exchange. The evidence we found supports the time variation of portfolios returns’ sensitivities to market, HML and SMB factors with unanticipated changes in monetary and economic conditions. Hence, the assumption of constant coefficients in the traditional three-factor model seems to be unreasonable. Betas associated with HML and SMB factors showed countercyclical behavior through the phases of the business cycle. In a recession, value (small) firm’s risk associated with the HML (SMB) factor is more strongly affected by worsening credit market conditions than during an economic expansion. Further results show that value (small) firm’s risk associated with the HML (SMB) factor is more strongly affected by tighter credit market conditions than growth (large) firm’s risk. Thus, our results most closely support a risk-based explanation for SMB and HML.

scholarly journals The Impact of Herding on the Risk Pricing in the Egyptian Stock Exchange

2020 ◽  
Vol 11 (2) ◽  
pp. 19-37
Author(s):  
Mustafa Hussein Abd-Alla ◽  
Mahmoud Sobh
Keyword(s):  
Factor Model ◽  
Stock Exchange ◽  
Additional Risk Factor ◽  
Additional Risk ◽  
Behaviour Factor ◽  
Risk Pricing ◽  
Fama And French ◽  
The Impact ◽  
Egyptian Stock Exchange ◽  
Three Factor

We test the impact of herding behaviour on the risk pricing in the Egyptian Stock Exchange (EGX) by adding an additional risk factor reflecting herding behaviour to the Fama and French three-factor model. We construct a portfolio to mimic an additional risk factor related to herding behaviour, in addition to the original risk factors in the Fama and French three-factor model. The three-factor model will be tested in its original form and re-tested after adding the herding behaviour factor. The study is based on Hwang and Salmon methodology, in which the state space approach based on Kaman’s filter was used to measure herding behaviour. We used monthly excess stock returns of 50 stocks listed on the EGX from January 2014 to December 2018. The results do not support Fama and French model before and after adding the herding behaviour factor, therefore, there is no effect of herding behaviour on the risk pricing in the Egyptian Stock Exchange.

scholarly journals FAMA AND FRENCH THREE FACTOR MODEL APPLICATION IN THE PAKISTAN STOCK EXCHANGE (PSE)

2017 ◽  
Vol 13 (1) ◽  
pp. 1-11
Author(s):  
Athar Iqbal ◽  
Keyword(s):  
Factor Model ◽  
Stock Exchange ◽  
Least Square Method ◽  
Least Square ◽  
Annual Data ◽  
Theoretical Understanding ◽  
Independent Variables ◽  
Multiple Variable ◽  
Fama And French ◽  
Three Factor

Purpose: This research has been carried out to test empirically the application of Fama and French three factor model on Pakistan Stock Exchange covering forty listed companies using annual data from 1984 to 2012. Methodology: Author selected excess return as dependent variable and three independent variables market risk, size of the firm and the book to market value of the firms in the portfolio. To test the hypotheses, author used panel least square method. Findings: Result shows that all independent variables are significant and have sign as predicted by theoretical understanding. From our result we interpret that three factors model explain returns in its simplified form on long term horizon better than single factor model like CAPM. Implication: The findings of the research paper suggest that developing economy like Pakistan investor and portfolio manager can better understand by applying multiple variable models and its modified form rather than only relying on CAMP covariance sensitivity model.

scholarly journals FAMA AND FRENCH THREE FACTOR MODEL APPLICATION IN THE PAKISTAN STOCK EXCHANGE (PSE)

2017 ◽  
Vol 13 (1) ◽  
pp. 1-11
Author(s):  
Athar Iqbal ◽  
Keyword(s):  
Factor Model ◽  
Stock Exchange ◽  
Least Square Method ◽  
Least Square ◽  
Annual Data ◽  
Theoretical Understanding ◽  
Independent Variables ◽  
Multiple Variable ◽  
Fama And French ◽  
Three Factor

Purpose: This research has been carried out to test empirically the application of Fama and French three factor model on Pakistan Stock Exchange covering forty listed companies using annual data from 1984 to 2012. Methodology: Author selected excess return as dependent variable and three independent variables market risk, size of the firm and the book to market value of the firms in the portfolio. To test the hypotheses, author used panel least square method. Findings: Result shows that all independent variables are significant and have sign as predicted by theoretical understanding. From our result we interpret that three factors model explain returns in its simplified form on long term horizon better than single factor model like CAPM. Implication: The findings of the research paper suggest that developing economy like Pakistan investor and portfolio manager can better understand by applying multiple variable models and its modified form rather than only relying on CAMP covariance sensitivity model.

scholarly journals Effects of accounting information on excess return using Fama and French three-factor model in order to examine capital market reaction due to dividend announcement

2017 ◽  
Vol 1 (1) ◽  
pp. 39
Author(s):  
Diaraya Diaraya ◽  
Gagaring Pagalung ◽  
Abdul Hamid Habbe ◽  
Ratna Ayu Damayanti
Keyword(s):  
Data Analysis ◽  
Capital Markets ◽  
Capital Market ◽  
Factor Model ◽  
Accounting Information ◽  
Excess Return ◽  
Market Conditions ◽  
Stock Portfolios ◽  
Fama And French ◽  
Three Factor

This paper discussed the effects of accounting information on the excess return of shari’ah stocks and conventional stocks using Fama and French Three Factor Model, and examined the reaction of the capital markets as a result of the dividend announcement. The results and data analysis had yielded 8 stock portfolios. It can be concluded that the AER variable movements had an immediate reaction to the movement, meaning that the dividend announcement brought the content of the information to the capital markets or it can be said that the Indonesian capital market conditions have started heading to a semi-strong form.

scholarly journals THE FOUR-FACTOR MODEL AND STOCK RETURNS IN BANGLADESH

2021 ◽  
Vol 6 (2) ◽  
pp. 133-149
Author(s):  
Muhammad Saifuddin Khan ◽  
Md. Miad Uddin Fahim
Keyword(s):  
Asset Pricing ◽  
Stock Returns ◽  
Factor Model ◽  
Stock Exchange ◽  
Explanatory Power ◽  
Jel Classification ◽  
Expected Return ◽  
Market Factors ◽  
Fama And French ◽  
Three Factor

For determining the expected return, and asset pricing, CAPM (Capital asset pricing model) is being used dominantly grounded on only the market (systematic) risk-factor though several anomalies have been revealed in this model. Fama and French (1993) have addressed those anomalies and developed the Three-factor model by combining size and value factors besides market factors. Over time, Carhart (1997) has further developed a model addressing momentum factor besides the three factors of Fama and French (1993) which is known as the Carhart four-factor model. Though several kinds of research have been conducted on the CAPM and three-factor model, little works have been accompanied by the Carhart four-factor model in an evolving market like Bangladesh. The goal of this work is to examine the validity of the Carhart four-factor model and examine the loftier explanatory power in Dhaka Stock Exchange (DSE). From the regression analysis of the Carhart model, we have found that market, size, value, and momentum explain the excess stock return. This study indicates that the Carhart model has the lowest GRS F-statistic, highest adjusted R-squared, and lowest Sharpe ratio in contrast to the CAPM and three-factor model which indicates the superior explanatory power and statistical validity of the Carhart model. JEL Classification Codes: G12, G13, G14.

scholarly journals Size and Value Premium in Karachi Stock Exchange

2008 ◽  
Vol 13 (2) ◽  
pp. 1-26 ◽  
Author(s):  
Nawazish Mirza ◽  
Saima Shahid
Keyword(s):  
Stock Returns ◽  
Cross Section ◽  
Factor Model ◽  
Stock Exchange ◽  
Capital Budgeting ◽  
Market Size ◽  
Fund Managers ◽  
Fama And French ◽  
Daily Returns ◽  
Three Factor

This study evaluates the ability of the Fama and French Three Factor model to explain a cross section of stock returns in the Karachi Stock Exchange (KSE). Following Fama and French factor approach, we sorted six portfolios by size and book to market. The sorted portfolios were constituted to represent stocks from each and every sector of KSE. Using Daily returns from January 2003 to December 2007, the excess returns for each portfolio were regressed on market, size and value factors. Our findings, in general, supported the notion of the three factor model. The three factor model was able to explain the variations in returns for most of the portfolios and the results remain robust when the sample was reduced to control for the size effect. Our findings are consistent with most of the studies that suggested the validity of the three factor model in emerging markets. These results warrant for the inclusion of size and value factors for valuation, capital budgeting and project appraisals, thus, having substantial implications for fund managers, analysts and investors.

scholarly journals Empirical Test of Fama and French Three-Factor Model in the Egyptian Stock Exchange

2020 ◽  
Vol 11 (2) ◽  
pp. 5-18
Author(s):  
Mustafa Hussein Abd-Alla ◽  
Mahmoud Sobh
Keyword(s):  
Stock Returns ◽  
Factor Model ◽  
Stock Exchange ◽  
Empirical Test ◽  
Expected Return ◽  
Book To Market Ratio ◽  
Excess Stock Returns ◽  
Fama And French ◽  
Egyptian Stock Exchange ◽  
Three Factor

We test the empirical validity of the three-factor model of Fama and French in the Egyptian Stock Exchange (EGX) using monthly excess stock returns of 50 stocks listed on the EGX from January 2014 to December 2018. Our findings do not support Fama and French three-factor model, where the coefficient of the beta was insignificant. The “SBM” coefficient and the “HML” coefficient were equal to zero and insignificant, which confirms the absence of the small firm effect and book-to-market ratio effect in the market. We conclude that there is no relation between expected return and Fama-French risk factors.

scholarly journals The Impact of the Financial Sector on Asset Pricing Tests: Evidence from the Colombo Stock Exchange

2016 ◽  
Vol 8 (2) ◽  
pp. 113
Author(s):  
Amal Peter Abeysekera ◽  
Nimal Pulukkuttige Don
Keyword(s):  
Asset Pricing ◽  
Stock Returns ◽  
Factor Model ◽  
Stock Exchange ◽  
Financial Sector ◽  
Size Premium ◽  
Fama And French ◽  
The Impact ◽  
Three Factor ◽  
Better Than

<p>This paper aims to identify how the inclusion of financial sector affects the ability of asset pricing models to explain the average stock returns in the CSE.  Most of the asset pricing researches, the firms in the financial sector are excluded on the basis that their characteristics and the leverage are notably different than firms in other industries. Therefore the objective of this study is to identify the impact of the inclusion of financial sector on the ability of the Carhart four-factor model to explain the average stock returns in the CSE and to compare its performance with the Capital Asset Pricing Model (CAPM) and the Fama and French three-factor model. The study finds that the four-factor model; incorporating the market premium, size premium, value premium and momentum premium provides a satisfactory explanation of the variation in the cross-section of average stock returns in the CSE, even when the financial sector is included. It is found that the Carhart four-factor model performs better than the CAPM in all scenarios; and that it performs notably better than the Fama and French three-factor model.However, there is no notable difference in the findings either the financial sector is included or not. </p>

scholarly journals Asset Pricing Behaviour with Dual-Beta in Case of Pakistani Stock Market

2011 ◽  
Vol 50 (2) ◽  
pp. 95-118 ◽  
Author(s):  
Attiya Y. Javid ◽  
Eatzaz Ahmad
Keyword(s):  
Factor Model ◽  
Stock Exchange ◽  
Jel Classification ◽  
Conditional Capm ◽  
Egarch Model ◽  
Market Beta ◽  
Fama And French ◽  
News Asymmetry ◽  
The Relationship ◽  
Three Factor

This study investigates the dynamics of beta by the asymmetric response of beta to bullish and bearish market environment on 50 stocks traded in Karachi Stock Exchange during 1993-2007. The results show that the betas increase (decrease) when the market is bullish (bearish). The results however suggest that investors receive a positive premium for accepting down-side risk, while a negative premium is associated with up-market beta. The results suggest that the conditional Fama and French three factor model has performed better than the conditional CAPM when news asymmetry was taken into account compared with the unconditional Fama and French three factor model and the unconditional dual-beta CAPM in explaining the relationship in beta and returns in case of Pakistani market. JEL classification: G12, G15 Keywords: Beta Instability, High Market Beta, Low Market Beta, EGARCH Model, News Asymmetry, Fama and French Three Factor Model

scholarly journals Risk and Performance of European Green and Conventional Funds

2021 ◽  
Vol 13 (8) ◽  
pp. 4226
Author(s):  
Tiago Gonçalves ◽  
Diego Pimentel ◽  
Cristina Gaio
Keyword(s):  
Business Cycle ◽  
Mutual Funds ◽  
Factor Model ◽  
World Market ◽  
The European Union ◽  
Single Factor ◽  
Multifactor Models ◽  
Multifactor Model ◽  
Negative Results ◽  
The Business Cycle

This paper analyzes how the risk-adjusted returns of green funds compare to those of conventional funds, between the years 2005 and 2020 for the European Union countries. Additionally, we tested how the performance of green funds correlates to the business cycle, subdividing their performance through expansionary and recessionary times. The findings are summarized as follows: our regression results demonstrated green and conventional funds exhibiting negative abnormal adjusted-returns against the developed world market benchmark for the single-factor and multifactor models. For the European market benchmark, we found environmental mutual funds presenting a positive performance for both models and conventional funds displaying negative results for the single-factor model and positive results for the multifactor model. The factor loadings for green funds indicated a negative load on momentum, book-to-market (HML) and size (SMB) factors, revealing a higher exposure to big and value companies. Subsampling per business cycle exhibited green mutual funds providing higher risk-adjusted returns to investors during crisis periods and mixed results for the non-crisis periods.

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