scholarly journals Rolling regression technique and cross-sectional regression: A tool to analyze Capital Asset Pricing Model

2021 ◽  
Vol 18 (4) ◽  
pp. 241-251
Author(s):  
Soumya Shetty ◽  
Janet Jyothi Dsouza ◽  
Iqbal Thonse Hawaldar
Keyword(s):  
Asset Pricing ◽  
Stock Returns ◽  
Capital Asset Pricing Model ◽  
Capital Asset Pricing ◽  
Pricing Model ◽  
Capital Asset ◽  
Cross Sectional ◽  
Asset Pricing Model ◽  
Business Environments ◽  
Rolling Regression

The Capital Asset Pricing Model (henceforth, CAPM) is considered an extensively used technique to approximate asset pricing in the field of finance. The CAPM holds the power to explicate stock movements by means of its sole factor that is beta co-efficient. This study focuses on the application of rolling regression and cross-sectional regression techniques on Indian BSE 30 stocks. The study examines the risk-return analysis by using this modern technique. The applicability of these techniques is being viewed in changing business environments. These techniques help to find the effect of selected variables on average stock returns. A rolling regression study rolls the data for changing the windows for every 3-month period for three years. The study modifies the model with and without intercept values. This has been applied to the monthly prices of 30 BSE stocks. The study period is from January 2009 to December 2018. The study revealed that beta is a good predictor for analyzing stock returns, but not the intercept values in the developed model. On the other hand, applying cross-section regression accepts the null hypothesis. α, β, β2 ≠ 0. Therefore, a researcher is faced with the task of finding limitations of each methodology and bringing the best output in the model.

scholarly journals The Relationship between Systematic Risk and Stock Returns in Tehran Stock Exchange Using the Capital Asset Pricing Model (CAPM)

2014 ◽  
Vol 21 ◽  
pp. 26-35
Author(s):  
Mohsen Mehrara ◽  
Zabihallah Falahati ◽  
Nazi Heydari Zahiri
Keyword(s):  
Asset Pricing ◽  
Stock Returns ◽  
Stock Exchange ◽  
Systematic Risk ◽  
Capital Asset Pricing Model ◽  
Capital Asset Pricing ◽  
Pricing Model ◽  
Capital Asset ◽  
Asset Pricing Model ◽  
The Relationship

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.

scholarly journals A TEST OF THE FAMA-FRENCH FIVE FACTOR MODEL IN COMPARISON TO THE CAPITAL ASSET PRICING MODEL AT THE LUSAKA SECURITIES EXCHANGE

2018 ◽  
Vol 3 (1) ◽  
pp. 35
Author(s):  
Nsama Musawa ◽  
Prof. Sumbye Kapena ◽  
Dr . Chanda Shikaputo
Keyword(s):  
Asset Pricing ◽  
Stock Returns ◽  
Factor Model ◽  
Five Factor Model ◽  
Capital Asset Pricing Model ◽  
Capital Asset Pricing ◽  
Pricing Model ◽  
Capital Asset ◽  
Asset Pricing Model ◽  
Fama And French

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

scholarly journals Analisis Saham Syariah Efisien dengan Pendekatan Shari’a Compliant Asset Pricing Model (SCAPM) pada Jakarta Islamic Index (JII)

2017 ◽  
Vol 8 (1) ◽  
pp. 131
Author(s):  
Zainul Hasan Quthbi
Keyword(s):  
Asset Pricing ◽  
Stock Returns ◽  
Capital Asset Pricing Model ◽  
Capital Asset Pricing ◽  
Pricing Model ◽  
Capital Asset ◽  
Analysis Model ◽  
Asset Pricing Model ◽  
Positive Individual ◽  
Data Collection Technique

<p class="IABSSS">The objective of this article is to analyze the Islamic stocks are relatively efficient for investment decisions using SCAPM (Shari’a Compliant Asset Pricing Model). SCAPM is a modified form of the CAPM (Capital Asset Pricing Model) which aims to frame the analysis model within the framework of Shari’a. The data collection technique is documentation of data that is secondary. 13 samples used in the study of Islamic stocks with consistent criteria of Islamic stocks enter the JII (Jakarta Islamic Index) study period in December 2013 to November 2016 and has a positive individual stock returns. Results from the study showed there were 9 of Islamic stocks are relatively efficient and the 4 remaining inefficient. Shares of PT. Adaro Energy has the largest RVAR value means having the most excellent stock performance.</p><p class="IABSSS">Artikel<strong> </strong>ini bermaksud untuk menganalisis saham syariah yang tergolong efisien untuk keputusan investasi dengan menggunakan SCAPM (Shari’a Compliant Asset Pricing Model). SCAPM adalah bentuk modifikasi dari CAPM (Capital Asset Pricing Model) yang bertujuan agar kerangka model analisis masih dalam kerangka syariah. Teknik pengumpulan data adalah dokumentasi dari data yang bersifat sekunder. Digunakan 13 sampel saham syariah pada penelitian ini dengan kriteria saham syariah yang konsisten masuk pada JII (Jakarta Islamic Index) periode penelitian Desember 2013 hingga November 2016 dan memiliki pengembalian saham individual positif. Hasil dari penelitian menunjukkan terdapat 9 saham syariah yang tergolong efisien dan 4 sisanya tidak efisien. Saham PT. Adaro Energy memiliki nilai RVAR terbesar yang berarti memiliki kinerja saham paling baik.</p>

scholarly journals Capital Asset Pricing Model (CAPM) and the Douala Stock Exchange

2020 ◽  
Vol 11 (5) ◽  
pp. 191
Author(s):  
Amenawo Ikpa Offiong ◽  
Hodo Bassey Riman ◽  
Helen Walter Mboto ◽  
Eyo Itam Eyo ◽  
Diana Gembom Punah
Keyword(s):  
Asset Pricing ◽  
Stock Returns ◽  
Stock Exchange ◽  
Least Square ◽  
Capital Asset Pricing Model ◽  
Capital Asset Pricing ◽  
Pricing Model ◽  
Capital Asset ◽  
Asset Pricing Model ◽  
Asset Portfolio

This study examines if the Capital Asset Pricing Model (CAPM) can be applied to the Douala Stock Exchange. The study utilized monthly stock returns from the three companies listed on the Douala Stock Exchange (DSX), for the period 30th April 2009 to 31st August 2017. Ordinary Least Square regression analysis was adopted for the study to examine if individual stocks can predict a better stock beta. The Black, Jensen, and Scholes (1972) CAPM version were also examined in this study to assess the validity of the zero beta estimate. The result of the individual estimates could not establish the validity of the CAPM theory. Further analysis showed that the Beta for the three assets combined portfolio was not statistically significant. However, when two securities were combined into a single asset portfolio, the portfolio bêta was statistically significant. The significant result of the two asset portfolio confirms that Beta was a linear function of security returns in the DSX market. The study concludes that there will be a need for the government of Cameroun to liberalize the DSX market and allow more firms to be quoted on the floor of the exchange. This decision will allow for the deepening of the DSX market, enhance the liquidity level of the market, and enable investors to reap adequate returns from their investment through holding a portfolio of assets. 

scholarly journals The Conditional Capital Asset Pricing Model Revisited: Evidence from High-Frequency Betas

2020 ◽  
Vol 66 (6) ◽  
pp. 2474-2494 ◽  
Author(s):  
Fabian Hollstein ◽  
Marcel Prokopczuk ◽  
Chardin Wese Simen
Keyword(s):  
Asset Pricing ◽  
High Frequency ◽  
Capital Asset Pricing Model ◽  
Capital Asset Pricing ◽  
Pricing Model ◽  
Capital Asset ◽  
Cross Sectional ◽  
Conditional Capm ◽  
Asset Pricing Model ◽  
Daily Data

When using high-frequency data, the conditional capital asset pricing model (CAPM) can explain asset-pricing anomalies. Using conditional betas based on daily data, the model works reasonably well for a recent sample period. However, it fails to explain the size anomaly as well as three out of six of the anomaly component excess returns. Using high-frequency betas, the conditional CAPM is able to explain the size, value, and momentum anomalies. We further show that high-frequency betas provide more accurate predictions of future betas than those based on daily data. This result holds for both the time-series and the cross-sectional dimensions. This paper was accepted by Karl Diether, finance.

scholarly journals THE RISK OF BEING UNSYSTEMATIC AND STOCK RETURNS: THE EMPIRICAL TEST ON CAPITAL VALIDITY OF CAPITAL ASSET PRICING MODEL

2014 ◽  
Vol 13 (2) ◽  
Author(s):  
Arfiana Rachel
Keyword(s):  
Asset Pricing ◽  
Stock Returns ◽  
Stock Return ◽  
Ordinary Least Squares ◽  
Capital Asset Pricing Model ◽  
Series Data ◽  
Capital Asset Pricing ◽  
Pricing Model ◽  
Capital Asset ◽  
Asset Pricing Model

The objective of this research is to analyze the effect of idiosyncratic risk to stock return on Indonesia Stock Exchange. To test these variables, the study applied two pass regression with time series data of stock return LQ45 and stock price index from January 2014 - December 2014. The estimation method used in the first pass regression was selected by characteristics of the return data, that is EGARCH (1,1) method for heterokedasticity data and Ordinary Least Squares for constant variance data. Specifications on the second pass regression models using cross section data, that is month by month cross sectional regression of 30 stock portfolios, which aim to identify unsystematic risk role in explaining the behavior of the return from stock portfolio. The findings of this study indicate that unsystematic risk has insignificant effect on stock return. These findings support the statement postulated in Capital Asset Pricing Model (CAPM), that the only relevant risk in explaining the return of stock only systematic risk, so there is no statistical evidence is strong enough to declare that the unsystematic risk can play a role in explaining the movement of stock return.

scholarly journals THE IMPORTANCE OF INVESTMENT DECISIONS USING CAPITAL ASSET PRICING MODEL (CAPM) IN STOCK SECTOR TELECOMMUNICATION

2020 ◽  
Vol 18 (3) ◽  
pp. 387
Author(s):  
Pristiwantiyasih Pristiwantiyasih ◽  
Mochammad Ardi Setyawan
Keyword(s):  
Asset Pricing ◽  
Stock Returns ◽  
Stock Exchange ◽  
Capital Asset Pricing Model ◽  
Capital Asset Pricing ◽  
Security Market ◽  
Pricing Model ◽  
Capital Asset ◽  
Asset Pricing Model ◽  
Telecommunications Sector

The purpose of this study is to analyze the overall performance of company shares in the telecommunications sector based on stock returns and risks, and determine the grouping and valuation of shares that are efficient and inefficient based on the Capital Asset Pricing Model (CAPM) method for companies in the telecommunications sector that listed on the Indonesia Stock Exchange (IDX) for the period 2015-2018. From the 4 shares of the research sample company, there were 3 shares that were considered efficient (undervalued). An undervalued stock is a stock that has an individual Return (Ri) greater than the expected rate of return [E (Ri)] and is above the Security Market Line (SML).

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