scholarly journals Long-run Accounting Conservatism and subsequent equity returns

2017 ◽  
Vol 9 (1) ◽  
pp. 60-75
Author(s):  
Wessel M. Badenhorst
Keyword(s):  
Equity Returns ◽  
Accounting Conservatism ◽  
Accrual Anomaly ◽  
Long Run ◽  
Fama And French ◽  
The Impact ◽  
Fama And French Model ◽  
Three Factor ◽  
French Model

This paper investigates the impact of long-run accounting conservatism on subsequent equity returns. The accounting conservatism proxy used is based on prior research and considered for different possible specifications. In contrast to prior research, this study compensates for the impact of momentum and the accrual anomaly by using five-year subsequent buy and hold total returns. A three-factor Fama and French model finds that accounting conservatism does not have a significant impact on subsequent equity returns for a sample of US firms. Stratifying the sample into pre-crisis and crisis periods does not affect results. However, this study also reveals that firms within certain industries do benefit from increased accounting conservatism, during both pre-crisis and crisis sample periods.

scholarly journals Analisis Three Factor Fama and French Model terhadap Return pada Indeks Saham Syariah Indonesia (ISSI) Periode 2011-2014

2020 ◽  
Vol 3 (2) ◽  
pp. 105
Author(s):  
Esi Fitriani Komara ◽  
Erie Febrian ◽  
Mokhamad Anwar
Keyword(s):  
Firm Size ◽  
Stock Prices ◽  
Sampling Technique ◽  
Market Returns ◽  
Purposive Sampling ◽  
Panel Data Regression ◽  
Fama And French ◽  
Fama And French Model ◽  
Three Factor ◽  
French Model

Abstract: 3FF is a better model than CAPM. But this model is still new, so it still needs empirical evidence. Then this model still needs to be proven in Indonesia. ISSI consists of all Indonesian sharia shares listed on the IDX and DES. So the purpose of this study was to analyze the three FF factors on return on ISSI. The sampling technique is purposive sampling so that 142 issuers are obtained. This research method is an associative quantitative study using panel data regression in data processing. The research results partially market returns affect the return, while firm size and BE / ME do not affect the return. However simultaneously the three FF factors can influence the return. This shows that the three FF factors can estimate return on ISSI. So that suggestions for companies that are sampled always improve the company's financial performance in order to increase the value of the company so that stock prices are high. Keywords: Three Factor Fama and French Model Abstrak: 3FF merupakan model yang lebih baik dibandingkan CAPM. Tetapi model ini masih baru, sehingga masih perlu bukt-bukti empiris. Kemudian model ini masih perlu dibuktikan di Indonesia. ISSI terdiri dari seluruh saham syariah Indonesia yang tercatat di BEI dan DES. Sehingga Tujuan penelitian ini adalah untuk menganalisis ketiga factor FF terhadap return pada ISSI. Teknik pengambilan sampelnya  yaitu purposive sampling sehingga diperoleh 142 emiten. Metode penelitian ini adalah penelitian kuantitatif asosiatif dengan mengunakan regresi data panel dalam pengolahan datanya. Hasil penelitian secara parsial return market berpengaruh terhadap return, sedangkan firm size dan BE/ME tidak berpengaruh terhadap return. Walaupun demikian secara simultan ketiga factor FF dapat berpengaruh terhadap return.  Hal tersebut menunjukan bahwa tiga factor FF dapat mengestimasi return di ISSI. Sehingga saran bagi perusahaan yang dijadikan sampel selalu meningkatkan kinerja keuangan perusahaan agar dapat meningkatkan nilai perusahaan sehingga harga saham tinggi.  Katakunci: Model Tiga Faktor Fama and French  

scholarly journals Three-Factor and Five-Factor Models: Implementation of Fama and French Model on Market Overreaction Conditions

2018 ◽  
Vol 3 (4) ◽  
pp. 77-83
Author(s):  
Ferikawita M. Sembiring
Keyword(s):  
Asset Pricing ◽  
Firm Size ◽  
Firm Value ◽  
Factor Model ◽  
Five Factor Model ◽  
Portfolio Returns ◽  
Fama And French ◽  
Fama And French Model ◽  
Three Factor ◽  
French Model

Objective - Previous research by this author has stated that the market overreaction phenomenon occurs in the Indonesian capital market and the CAPM (Capital Asset Pricing Model) is able to explain portfolio returns. However, CAPM is still debated along with the emergence of the other asset pricing models, such as the multifactor model proposed by Fama and French. The aim of this research is to test the ability of that model to explain the returns of portfolios formed under market overreaction conditions. Methodology/Technique - The data used in this study is the same as that of the previous research, which includes winner and loser portfolio data formed in market overreaction conditions, particularly on the Indonesian Stock Exchange, between July 2005 and December 2015. The multifactor models used include a three-factor model consisting of the factors of market, firm size, firm value, and a five-factor model with the added factors of profitability and investment. To obtain more accurate results, GARCH econometric models were also used in addition to standard test models for obtaining unbiased results. Findings - This research concludes that market factors (Rm-Rf), firm size (SMB), and firm value (HML), are able to explain the winner and loser portfolio returns well. However, when the factors of profitability (RMW) and investment (CMA) are added into the three-factor model, the RMW and CMA explained the returns negatively and inconsistently when the GARCH model is implemented. Novelty – These results imply that the three-factor model is more accurate than the five-factor model, contrary to the previous findings of Fama and French. Type of Paper - Empirical. Keywords: Fama and French Model; Five-factor Model; Market Overreaction; Three-factor Model; Portfolio. JEL Classification: G11, G12, G14

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.

Extending the Fama and French model with a long term memory factor

2019 ◽  
Author(s):  
M.N. López-García ◽  
J.E. Trinidad-Segovia ◽  
M.A. Sánchez-Granero ◽  
I. Pouchkarev
Keyword(s):  
Long Term Memory ◽  
Term Memory ◽  
Memory Factor ◽  
Fama And French ◽  
Fama And French Model ◽  
French Model

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>

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