scholarly journals Functioning of Fama-French Three-Factor Model in Emerging Stock Markets: An Empirical Study on Chittagong Stock Exchange, Bangladesh

2017 ◽  
Vol 06 (04) ◽  
pp. 352-363
Author(s):  
Emon Kalyan Chowdhury
Keyword(s):  
Empirical Study ◽  
Stock Markets ◽  
Factor Model ◽  
Stock Exchange ◽  
Emerging Stock Markets ◽  
Three Factor

scholarly journals Is idiosyncratic risk ignored in asset pricing: Sri Lankan evidence?

2019 ◽  
Vol 5 (1) ◽  
Author(s):  
Moinak Maiti
Keyword(s):  
Factor Model ◽  
Stock Exchange ◽  
Investment Decision ◽  
Idiosyncratic Risk ◽  
Idiosyncratic Volatility ◽  
Sri Lankan ◽  
Cross Sectional ◽  
Volatility Risk ◽  
And Performance ◽  
Three Factor

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.

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.

An Empirical Test of Capital Asset-pricing Model and Three-factor Model of Fama in Indian Stock Exchange

2018 ◽  
Vol 43 (4) ◽  
pp. 294-307
Author(s):  
Nenavath Sreenu
Keyword(s):  
Asset Pricing ◽  
Factor Model ◽  
Stock Exchange ◽  
Capital Asset Pricing Model ◽  
Capital Asset Pricing ◽  
Pricing Model ◽  
Capital Asset ◽  
Expected Return ◽  
Asset Pricing Model ◽  
Three Factor

This article aims to test the capital asset-pricing model (CAPM) and three-factor model of Fama in Indian Stock Exchange, and it has focused on the recent growth of capital markets in India and the need of practitioners in these markets to determine a stable price for securities, and achieving expected returns has brought into consideration the theories predicting price securities Among different models the CAPM of Sharp. The study uses a sample of daily data and annual average for 54 companies listed on the National Stock Exchange, during the period from 2010 to 2016. The research article’s intention is to find whether the relationship between expected return and risk is linear, if beta is a complete measure of the risk and if a higher risk is compensated by a higher expected return. The results confirm that the intercept is statistically insignificant, upholding theory, for both individual assets and portfolios. The tests do not essentially provide validation against CAPM and Fama; however, other simulations can be built, more close to reality, by improving the model and offering an alternative which also takes into account the specific conditions of the Indian capital market and the global financial crisis consequences.

scholarly journals Effect of Volatility Changes on Emerging Stock Markets: The Case of Jordan

2015 ◽  
Vol 7 (4) ◽  
pp. 132
Author(s):  
Marwan Mohammad Abu Orabi ◽  
Talal Abed-Alkareem Alqurran
Keyword(s):  
Stock Market ◽  
Stock Markets ◽  
Stock Exchange ◽  
Exchange Rate Policy ◽  
Emerging Stock Markets ◽  
Amman Stock Exchange ◽  
Rate Policy ◽  
Icss Algorithm ◽  
The Impact ◽  
High Uncertainty

<p>The Middle East financial markets have experienced several unexpected volatility shifts during the last two decades had recorded a serious impact on these markets and caused a financial turmoil that has elevated the uncertainties in the region. In view of this, more empirical findings should be learned and documented for future benefits. As one of the affected countries, Jordan was chosen as a case to provide empirical insight on the matter. This paper analyzed the behavior of Jordan’s stock market (Amman Stock Exchange, ASE) during the intervals of high uncertainty. It highlighted the impact of volatility on this market in terms of its efficiency and returns, during 2004-2012 periods, by utilizing the iterated cumulative sums of squares (ICSS) algorithm, GARCH and GARCH-M models. Sudden changes in volatility seem to arise from the evolution of emerging stock markets, exchange rate policy changes and financial crises. Evidence also reveals that when sudden shifts are taken into account in the GARCH models, the persistence of volatility is reduced significantly in every series. Research results provided significant empirical evidence for positive risk-return relationship in the stock exchange. Moreover, this study also found that the stock market, across all sectors, was more sensitive to global news events as compared to the local events. The asymmetrical responses to good and bad news were also an important characteristic of the ASE market behavior.</p>

scholarly journals Empirical Test of Single Factor and Multi-Factor Asset Pricing Models: Evidence from Non Financial Firms on the Ghana Stock Exchange (GSE)

2015 ◽  
Vol 8 (1) ◽  
pp. 99
Author(s):  
Prince Acheampong ◽  
Sydney Kwesi Swanzy
Keyword(s):  
Asset Pricing ◽  
Factor Model ◽  
Stock Exchange ◽  
Explanatory Power ◽  
Pricing Model ◽  
Asset Pricing Model ◽  
Financial Firms ◽  
Portfolio Returns ◽  
Ghana Stock Exchange ◽  
Three Factor

<p>This paper examines the explanatory power of a uni-factor asset pricing model (CAPM) against a multi-factor model (The Fama-French three factor model) in explaining excess portfolio returns on non-financial firms on the Ghana Stock Exchange (GSE). Data covering the period January 2002 to December 2011 were used. A six Size- Book-to-Market (BTM) ratio portfolios were formed and used for the analysis. The paper revealed that, a uni-factor model like the (CAPM) could not predict satisfactorily, the excess portfolio returns on the Ghana Stock Exchange. By using the multi-factor asset pricing model, that is, the Fama-French Three Factor Model, excess portfolio returns were better explained. It is then conclusive enough that, the multi-factor asset pricing model introduced by Fama and French (1992) was a better asset pricing model to explain excess portfolio returns on the Ghana Stock Exchange than the Capital Assets Pricing Model (CAPM) and that there exist the firm size and BTM effects on the Ghanaian Stock market.</p>

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