Validity Of Capital Asset Pricing Model Research Articles

Reverse-Engineering and Real Options–Adjusted CAPM in the Taiwan Stock Market

ABSTRACTPrevious studies have addressed many anomalies that violate the capital asset pricing model (CAPM). However, recent studies have employed either the reverse-engineering (RE) approach or the options-adjusted approach to verify the validity of CAPM on the developed stock markets. This study simultaneously employs the two approaches on the Taiwan’s stock market and obtains a consistent result with those on the developed stock markets. Additionally, this study compares the predicting stock return ability among various regression models and anomaly variables. For completeness, the betas of CAPM and Fama–French three factors are adopted from the historical, Vasicek-adjusted, and time-varying conditional betas.

Testing capital asset pricing model (CAPM) in Ho Chi Minh City Stock Exchange (HOSE), from traditional approach to conditional approach

This study aims to test the validity of CAPM in Ho Chi Minh City Stock Exchange (HOSE). Two approaches employed in testing are (1) Fama & MacBeth’s traditional approach (1973); and (2) conditional approach developed by Pettengill et al. (1995). The research uses a time-series data set of all listed companies that are available on HOSE in each sub-period within the total sample period of 1/2007 through 6/2015. The results based on traditional approach show that CAPM does not offer a good explanation of risk-return relationship in HOSE. However, when considering market conditions (up/down) proposed by conditional approach, the findings are consistent with the CAPM prediction.

Further Evidence on the Validity of CAPM: the Istanbul Stock Exchange Application

As one of the most important models in the finance literature, the Capital Asset Pricing Model (CAPM) assumes the existence of a positive and linear relationship between the systematic risk and required rates of return on stocks. The model is extensively researched in the academia and frequently used in business world since its development half a century ago. Its popularity comes from the simplification it provides for the complex process of asset pricing by making the assumption that only one single factor affects stock returns. But, as this is an unrealistic assumption, the validity of the model in its standard (unconditional) form is repeatedly rejected by empirical tests. Pettengill et al. (1995) developed an alternative conditional CAPM approach where the standard model is improved by taking bull and bear market conditions into consideration. According to this model, there is a positive (negative) risk-return relationship during up (down) market periods. Using this reasoning, Pettengill et al. (1995) tested up and down market periods separately and reached highly significant results that support CAPM. In this study, both the unconditional and conditional versions of CAPM are tested in the Istanbul Stock Exchange (ISE) for the period of nine years from 2003 to 2011. The test period is divided into four sub-periods. The unconditional CAPM is rejected for the sample period. A result of the conditional test shows that there is a statistically significant conditional relationship during some sub-periods. However, since the risk-return relationship in up and down markets is not symmetric, this conditional relationship does not indicate a positive risk-return tradeoff. Thus, CAPM may not be a useful asset pricing model for the ISE. DOI: http://dx.doi.org/10.5755/j01.ee.25.1.1847

Empirical Validity of CAPM through Security Market Line and Non Linearity Tests: Indian Experience

Capital Asset Pricing Model (CAPM) is one of the important talk factors in finance and it has been widely discussed and tested in different capital markets throughout the world.This study examines the validity of capital asset pricing model in Indian Capital Market by using the data of 70 companies listed in BSE 100 index The study used Black, Jensen and Scholes (1972) methodology and Fama Macbeth methodology (1973) to test the empirical validity of the model. The results showed linear relationship between beta and return, and also it showed weakness in explaining the various assumptions of CAPM.

ANALYZING AND ESTIMATING PORTFOLIO PERFORMANCE OF BANGLADESH STOCK MARKET

Capital Asset Pricing Model (CAPM) is one of the most important developments in the finance literature. Simply, CAPM is a model that describes the relationship between risk and expected return. The theoretical validity of CAPM is well tested and accepted but the practical validity of CAPM is in questioned. This study is designed to analyze and estimate the portfolio performance of Bangladesh stock market in a CAPM framework. For this study, monthly stock returns from 80 companies for the period of January 2005 to December 2009 are chosen. In order to examine whether the CAPM is satisfied in the portfolio or not, the 80 stocks are arranged in descending order of beta and 10 portfolios are being made of eight stocks in each. The All Share Price Index (DSI) is used as a proxy for the market portfolio and Bangladesh government 3-Month T-bill rate is used as the proxy for the risk-free asset. The results of this analysis show that the intercept terms are not significantly different from zero, linearity in the securities market line and insignificant unique risk for the 10 portfolios during the period. But, the results in term of slope contradict the CAPM hypothesis and indicate evidence against the CAPM in the portfolios. This analysis will obviously be used as a basis of reference for future investigates and the researchers and they will get proper instruction from this study.

Testing the Validity of CAPM and APT in the Oil, Gas and Fertilizer Companies Listed on the Karachi Stock Exchange

The Capital Asset Pricing Model (CAPM) and Arbitrage Portfolio Theory (APT) have been commonly used techniques in the global investing community for calculating the required return of a risky asset. This paper investigates whether CAPM and APT are valid models for determining price/return of the fertilizer and the oil & gas sector companies listed on the Karachi Stock Exchange (KSE). The purpose of the research is also to identify plausible reasons for deviations from the theories. The conclusions arrived at through data analysis reveal weak correlation between realized excess returns (i.e. actual returns over and above the risk free rate) and the expected return based on CAPM. With respect to APT model, the study reflects that macroeconomic factors including changes in GDP, inflation, exchange rate and market return do not serve as valid determinants of returns on oil, gas and fertilizer stocks.

Bivariate Analysis of Capital Asset Pricing Model in Indian Capital Market

Capital Asset Pricing Model (CAPM) establishes the relationship between risks and returns in the efficient capital markets. A review of studies conducted for various markets in the world reveals that researchers have used a number of methodologies to test the validity of CAPM. While some studies have supported the validity of CAPM, some others have revealed that beta alone is not a suitable determinant of asset pricing and that a number of other factors could explain the cross-section of returns. This paper has attempted to test the validity of the combination effect of the two parameter CAPM to determine the security⁄portfolio returns. The results show that: Intercept is not significantly different from zero. The combination of sizei and ln(BE/ME)i explains the variation in security returns under both percentage and log returns series. The combination of βi and ln(BE/ME)i, βi and (Rm-Rf)i, sizei and (E/P)i, and (E/P)i and (BE/ME)i explains the variation in security returns when log return series is used and the combination of βi and (Rm-Rf)i explains the variation in security returns when percentage return series is used. In case of portfolios, the combination of βp and Rm-Rf explains the variation of portfolio returns when portfolios formed with market value weights under both percentage and log returns and βp and ln(BE/ME)p explain the portfolio percentage returns when market value weights are used. It is observed that while combinations of some of the independent variables, as opposed to the univariate variable considered in Manjunatha and Mallikarjunappa's (2006) paper, explain the variations in security⁄portfolio returns, the other combinations do not explain the variation in the security⁄portfolio returns. Further analysis in this paper has shown that beta, with some of the combinations of the independent variables, explains the variation in security⁄portfolio returns. However, beta alone, when considered individually in the two parameter regressions, does not explain the variation in security⁄ portfolio returns. This casts doubt on the validity of the standard form of CAPM. In the light of these findings, it can be concluded that beta alone is not sufficient to determine the expected returns on the securities⁄portfolios. The empirical findings of this paper would be useful to financial analysts in the Indian capital market. Further research on the combination of market factors, firms' specific factors, and macroeconomic factors is needed to enlarge the understanding of modern finance and to cover fresh ground to unravel the mysteries and ramifications of the CAPM puzzle.

Capital Asset Pricing Model: Should We Stop Using It?

The Capital Asset Pricing Model (CAPM) predicts that expected returns on securities are a positive linear function of their market ß s (betas) and market ß is adequate to describe the cross-section of expected returns. There is a controversy regarding the empirical validity of CAPM. This article reviews the content and scope of the model, examines the issues in the controversy, and provides an empirical assessment of the model in India. It notes that the evidence is not sufficient to drop the use of CAPM; one must, however, recognize and understand its limitations.