scholarly journals Comparative analysis of the explanatory power of the CAPM and the Fama-French three-factor model on cross-sectional variation of returns on stocks trading on the Official market of the Macedonian Stock exchange

2021 ◽  
Vol 2 (1) ◽  
pp. 1-11
Author(s):  
Fatmir Besimi ◽  
◽  
Ana Bisheva

The amount of literature on factors that explain the cross-sectional variation in average returns is vast, however, the majority of these papers attempt to explain the variation of returns in developed and emerging markets. In that sense, the literature lacks sufficient evidence regarding the variation of returns of frontier markets. The Republic of North Macedonia is considered to be a frontier market and in this paper we aim to empirically test the ability of the Capital Asset Pricing Model and the Fama-French Three Factor Model in explaining the cross-sectional variations of stock returns of securities trading on the Macedonian Stock Exchange. The empirical study is based on monthly returns from January 2011 to April 2021. Additionally, we use annual data obtained from the financial statements of the analysed companies included in this study. Using OLS time series regression we find that both models have limited explanatory power of the cross-sectional variation in expected returns on the Macedonian Stock Exchange. The study shows that only the size factor exhibits some limited explanatory power regarding stock returns. Based on the comparative analysis the Fama-French Three-Factor Model describes the variation of returns on the MSE much better than the Capital Asset Pricing Model.

2018 ◽  
Vol 43 (4) ◽  
pp. 294-307
Author(s):  
Nenavath Sreenu

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.


2020 ◽  
Vol 46 (11) ◽  
pp. 1479-1493
Author(s):  
Hakan Aygoren ◽  
Emrah Balkan

PurposeThe aim of this study is to investigate the role of efficiency in capital asset pricing. The paper explores the impact of a four-factor model that involves an efficiency factor on the returns of Nasdaq technology firms.Design/methodology/approachThe paper relies on data of 147 firms from July 2007 to June 2017 to examine the impact of efficiency on stock returns. The performances of the capital asset pricing model (CAPM), Fama–French three-factor model and the proposed four-factor model are evaluated based on the time series regression method. The parameters such as the GRS F-statistic and adjusted R² are used to compare the relative performances of all models.FindingsThe results show that all factors of the models are found to be valid in asset pricing. Also, the paper provides evidence that the explanatory power of the proposed four-factor model outperforms the explanatory power of the CAPM and Fama–French three-factor model.Originality/valueUnlike most asset pricing studies, this paper presents a new asset pricing model by adding the efficiency factor to the Fama–French three-factor model. It is documented that the efficiency factor increases the predictive ability of stock returns. Evidence implies that investors consider efficiency as one of the main factors in pricing their assets.


Author(s):  
Ann Marie Hibbert ◽  
Edward R. Lawrence

Using return data for all stocks continuously traded on the NYSE over the period July 1963 to December 2006, we tested the performance of the two-moment Capital Asset Pricing Model (CAPM) and the Fama French three-factor model in explaining individual stock returns. We found the performance of Fama French three-factor model to be marginally better than the CAPM. We further test the models for the significance and stability of parameters in the bull/bear periods and the Federal increasing/decreasing interest rate periods and found the performance of the two models comparable.  


Author(s):  
Ying Tay Lee ◽  
Devinaga Rasiah ◽  
Ming Ming Lai

Human rights and fundamental freedoms such as economic, political, and press freedoms vary widely from country to country. It creates opportunity and risk in investment decisions. Thus, this study is carried out to examine if the explanatory power of the model for capital asset pricing could be improved when these human rights movement indices are included in the model. The sample for this study comprises of 495 stocks listed in Bursa Malaysia, covering the sampling period from 2003 to 2013. The model applied in this study employed the pooled ordinary least square regression estimation. In addition, the robustness of the model is tested by using firm size as a controlled variable. The findings show that market beta as well as the economic and press freedom indices could explain the cross-sectional stock returns of the Malaysian stock market. By controlling the firm size, it adds marginally to the explanation of the extended CAP model which incorporated economic, political, and press freedom indices.


Author(s):  
Mohsen Mehrara ◽  
Zabihallah Falahati ◽  
Nazi Heydari Zahiri

One of the most important issues in the capital market is awareness of the level Risk of Companies, especially “systemic risk (unavoidable risk)” that could affect stock returns, and can play a significant role in decision-making. The present study examines the relationship between stock returns and systematic risk based on capital asset pricing model (CAPM) in Tehran Stock Exchange. The sample search includes panel data for 50 top companies of Tehran Stock Exchange over a five year period from 1387 to 1392. The results show that the relationship between systematic risk and stock returns are statistically significant. Moreover, the nonlinear (quadratic) function outperforms the linear one explaining the relationship between systematic risk and stock returns. It means that the assumption of linearity between systematic risk and stock returns is rejected in the Tehran Stock Exchange. So we can say that the capital asset pricing model in the sample is rejected and doesn’t exist linear relationship between systematic risk and stock returns in the sample.


2015 ◽  
Vol 8 (1) ◽  
pp. 99
Author(s):  
Prince Acheampong ◽  
Sydney Kwesi Swanzy

<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>


2020 ◽  
Vol 2 (2) ◽  
pp. 1
Author(s):  
Nadyah Brhigitta Dwiyuningsih Dotulong ◽  
Lanto Miriatin Amali ◽  
Selvi Selvi

Penelitian ini bertujuan untuk mengetahui Metode Capital Asset Pricing Model dan Fama-French Three Factor Model untuk penentuan investasi pada saham Indeks IDX30 periode 2016 – 2018 serta untuk membandingkan antara dua model tersebut model manakah yang memiliki tingkat akurasi yang lebih tinggi untuk mempertimbangkan tingkat return dan risikonya. Metode yang digunakan dalam penelitian ini adalah deskriptif komparatif dengan pendekatan kuantitatif. Adapun data yang digunakan adalah data berupa laporan keuangan tahunan (annual report) Indeks IDX30 periode 2016 – 2018. Hasil penelitian ini menunjukkan bahwa Metode Capital Asset Pricing Model merupakan model yang lebih akurat dibandingkan Fama-French Three Factor Model. Selain terlihat sederhana, model Capital Asset Pricing Model ini juga lebih akurat dalam menentukan investasi sesuai dengan tingkat pengembalian yang diharapkan dan risiko yang bersedia ditanggung dan model ini dapat memberikan informasi secepat-cepatnya mengenai tingkat pengembalian dan risiko yang akan ditanggung investor. Kata-kata Kunci:Metode Capital Asset Pricing Model, Fama-French Three Factor Model, dan Indeks IDX30. 


2018 ◽  
Vol 3 (1) ◽  
pp. 35
Author(s):  
Nsama Musawa ◽  
Prof. Sumbye Kapena ◽  
Dr . Chanda Shikaputo

Purpose: The capital asset pricing model (CAPM)  is one of  the basic models in the security price analysis.Many asset pricing models have been developed to improve the CAPM.Among such models is the latest  Fama and French five factor model which is being  empirically tested in various stock markets. This study tested the five factor model in comparison to the capital asset pricing model. Testing the Fama and French Five factor model in comparison to the CAPM was important because the CAPM is widely taken to be the basic model in the security price analysis. Methodology: The Fama and French methodology was used to test  the data from an emerging market, the Lusaka Securities Exchange. A deductive, quantitative research design and secondary data from the Lusaka Securities Exchange was used. Data was analyzed using multiple regression. Results: The results indicate that the Five Factor model is better than the CAPM in capturing variation in the stock returns. The Adjusted R-squared for the five factor model from all individual portfolio sorting was 0.9, while that for the CAPM was 0.13 Unique contribution to theory, practice and policy: This study has contributed to theory in that it has added a voice to the ongoing debt on the suitability of  the new Fama and French Five Factor model which is at the cutting hedge in finance theory.Further the study is from developing capital market. Keywords:, CAPM, Stock returns, Fama and French five factor model


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