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In 1986 a comprehensive study into the state of the art in Computer Aided Production Management (CAPM) in UK industry commissioned by the ACME (Application of Computers to Manufacturing Engineering) directorate of the Science and Engineering Research Council (SERC) revealed a number of deficiencies in existing CAPM systems and approaches. As a consequence of this report, a number of specific sectors were identified including the small company sector, large company sector, make to order sector and the electronics sector. This article outlines the results of the work of the research team engaged in developing a CAPM implementation methodology for the electronics sector, which was the largest of the ACME CAPM projects. The research team believe that the results are equally applicable for CAPM implementation in other manufacturing sectors.

Purpose – The purpose of this chapter is to examine whether or not the Capital Asset Pricing Model (CAPM) reasonably describes the return generating process on the Ghanaian Stock Exchange using monthly return data of 19 individual companies listed on the Exchange during the period January 2000 to December 2009.

Methodology/approach – We follow a methodology similar to Jensen (1968) time series approach. Parameters are estimated using OLS. This study is designed to measure beta risk across different times by following the time series approach. The betas of the individual securities are estimated using time series data of the excess return version of the CAPM.

Findings – Our test results show that although market beta contributes to the variation in equity returns in Ghana, its contribution is not as significant as predicted by the CAPM, and in some cases very weak. Our results also reject the strictest form of the Sharpe–Lintner CAPM, but we found positive linear relationship between equity risk premium and market beta. Instead, our evidence uphold the Jensen (1968) and Jensen, Black, and Scholes (1972) versions of the CAPM.

Research limitations/implications – This study is limited to the single-factor CAPM. Future studies will extend the test to include both size and BE/ME fundamentals and factors relating to P/E ratio, momentum and liquidity.

Practical implications – Our results will make corporate managers to be cautious when using CAPM as a basis to determine cost of equity for investment appraisal purposes, and fund managers when evaluating asset and portfolio performance.

Originality/value – The CAPM is applied to individual securities instead of portfolios, since the model was developed using information on a single security.

The capital asset pricing model (CAPM) is the most widely used asset pricing model that measures risk–return relationship. The CAPM is based on Markowitz’s mean variance analysis. The advancement of Islamic finance leads to the question whether or not the practice of modern investment theories and analyses such as the Markowitz’s mean variance analysis and CAPM are in accordance to shariah and could be used in pricing Islamic financial assets. Therefore, this paper aims to present a review of the CAPM and to discourse the set of assumptions underlying the model in terms of shariah compliance.

Although most of the assumptions are not contradictory to shariah principles, there are Islamic variables such as prohibition of short selling, purification and zakat that should be taken into consideration when pricing Islamic financial assets. We then develop a mathematical model which is a modification of the traditional CAPM that incorporates principles of Islamic finance and integrating zakat, purification of return and exclusion of short sales.

As a proof-of-concept, this paper presents the results of an empirical study on the proposed shariah-compliant CAPM in comparison to the traditional CAPM. The results show that the proposed Islamic CAPM is appropriate and applicable in examining the relationship between risk and return in the Islamic stock market.

This study contributes to existing body of knowledge by presenting an algorithm and mathematical derivation of the shariah-compliant CAPM which has been lacking in the literature of Islamic finance. The paper offers a novel approach in pricing Islamic financial assets in accordance to shariah, advocated by modern investment theories of Markowitz’s mean variance analysis and CAPM.

The purpose of this paper is to introduce an augmented high-order capital asset pricing model (AH-CAPM) as a new risk-based model to price stocks.

The AH-CAPM is defined as a linear model with high-order marginal moments and co-moments from the joint distributions of the sorted stock portfolio returns and the market return.

The performance of the AH-CAPM is tested in the Chinese and US stock markets. Empirical results show that the high-order marginal moments and co-moments from the joint distributions in AH-CAPM contain the risk and return information implied by the Fama–French factors, indicating it as a better risk measurement. Moreover, the AH-CAPM performs better than the Fama–French three-factor model and the Carhart four-factor model in both the Chinese and US stock markets.

Overall, this study introduces a new asset pricing model with better measurements to incorporate risk information in the stock market.

The purpose of this paper is to analyze the mean-variance capital asset pricing model (CAPM) and downside risk-based CAPM (DR-CAPM) developed by Bawa and Lindenberg (1977), Harlow and Rao (1989), and Estrada (2002) to assess which downside beta better explains expected stock returns. The paper also explores whether investors respond differently to stocks that co-vary with declining market than to those of co-vary with rising market.

The paper uses monthly data of closing prices of stocks listed at the Karachi Stock Exchange (KSE). The data cover the period from January 2000 to December 2012. The standard, downside, and upside betas are estimated for different sub-periods,and then,their validity to quantify the risk premium is tested for subsequent sub-periods in a cross sectional regression framework. Though our empirical methodology is similar to that of Fama and MacBeth (1973) for testing the CAPM and the DR-CAPM, our approach to estimate the downside beta is different from earlier studies. In particular, we follow Estrada ' s (2002) suggestions and obtain the correct and unbiased estimation of the downside beta by running the time series regression through origin. The authors carry out the two-pass regression analysis using the generalized method of moment (GMM) in the first pass and the generalized least squares (GLS) estimation method in the second pass.

The results indicate that the mean-variance CAPM shows a negative risk premium for monthly returns of selected stocks. However, the results for the DR-CAPM of Bawa and Lindenberg (1977) and Harlow and Rao (1989) provide evidence of a positive risk premium for the downside beta. In contrast, the DR-CAPM of Estrada (2002) shows a negative risk premium in some sub-periods while the positive premium in the others. By comparing the risk premium for both downside and upside risks in a single-equation framework, the authors show that the stocks that co-vary with a declining market are compensated with a positive premium for bearing the downside risk. Yet, the risk premium for stocks that are negatively correlated with declining market returns is negative for all the three-downside betas in all the examined sub-periods.

The empirical findings of the paper are of great significance for investors for designing effective investment strategies. Specifically, the results help investors to identify an appropriate measure of risk and to construct well-diversified portfolio. The results are also useful for firm managers in capital budgeting decision-making process as they enable them to cost equities appropriately. The results also suggest that the risk-return relationship implied by mean-variance CAPM is negative and therefore this model is not suitable for gauging the risk associated with stocks traded in KSE. Yet, the authors show that DR-CAPM out performs in quantifying the risk premium.

Unlike prior empirical studies, the authors follow Estrada’s (2002) suggestions where downside beta is calculated using regression through origin to find correct and unbiased beta. Departing from the existing literature the authors estimate three different versions of DR-CAPM along with the standard CAPM for comparison purpose. Finally, the authors apply sophisticated econometrics methods that help in lessening the problem of non-synchronous trading and the issue of non-normality of returns distribution.

The purpose of this paper is to assess how much difference it makes for US firms to use the two‐factor ICAPM to estimate their cost of equity instead of a single‐factor CAPM.

For a large sample of US companies, the authors compare the empirical cost of equity estimates of a two‐factor international CAPM with those of the single‐factor domestic CAPM and the single‐factor global CAPM.

The authors find that the cost of equity estimates of the two‐factor ICAPM are reasonably close to those of either single‐factor model for US firms with low‐to‐moderate foreign exchange exposure; and second, perhaps surprisingly, for US firms with extreme foreign exchange exposure, that the cost of equity estimates of the two‐factor ICAPM tend to be very close to those of the domestic CAPM, and even closer than to those of the single‐factor global CAPM.

The paper's findings might prove useful to academic researchers wanting to resolve the seemingly contradictory empirical results on the pricing of FX risk.

The findings will hopefully help managers decide whether they should go to the trouble of estimating a US firm's cost of equity with the two‐factor international CAPM instead of a traditional single‐factor CAPM.

The paper extends the existing literature by focusing on the two‐factor ICAPM, and finds some new and surprising empirical results.

This monograph examines research needs in computer aided production management (CAPM). Recommendations for future research and its organisation are made. The monograph is based on an in‐depth study of current CAPM practice in a varied sample of 33 companies. The study conclusions confirm many existing beliefs. Many companies are paying inadequate attention to the necessary prerequisites for successful CAPM implementation. The prerequisites change as the extent of CAPM system integration increases. Organisational rather than implementation issues dominate as integration increases. The proposed research would bring together existing knowledge of best CAPM practice to form methodologies for the audit, design and implementation of CAPM systems. The aim is to reduce the time‐span of the learning curve required for successful CAPM integration. The methodologies need to be specific to particular industrial sectors.

This study aims to investigate the effect of product market competition on the exposure of firms’ returns to consumption fluctuations (C-CAPM beta).

The C-CAPM beta comes from a regression of a stock’s returns against consumption growth, with controls for the Fama–French three factors and momentum. The Herfindahl–Hirschman index of concentration measures competition, with other measures like deregulation and tariff reductions used for robustness tests. Industries are categorized using different SIC digits, with the NAICS measure used for robustness tests. The C-CAPM beta is regressed to competition, with appropriate control variables, to find its relationship.

Higher levels of competition reduces the C-CAPM beta. The results are consistently robust to different measures of product market competition and industry identification.

Product market competition influences the sensitivity of systematic risk, as measured by the C-CAPM beta, to consumption, such that higher levels of competition reduce systematic risk.

This research contributes to a literature that admittedly is still murky, as the relationship between competition and systematic risk is still unsettled. No study (to the authors’ knowledge) examines the effect of competition on firms’ exposure to consumption. This research adds to the literature on the role of competition in risk, specifically with respect to consumption.

The underlying principle of the Capital Asset Pricing Model (CAPM) is that there is a linear relationship between systematic risk, as measured by beta, and expected share returns. The CAPM attempts to describe this relationship by using beta to explain the differences between the expected returns on various shares and share portfolios. The CAPM has been the subject of considerable theoretical investigation and empirical research. The aim of this article is to establish the current knowledge of the usefulness of the CAPM, i.e. whether it provides a reasonable description of reality and whether it is a useful tool for investment decision‐making. The main conclusion drawn from the study is that the CAPM is useful and that it does describe and explain the risk/return relationship. However, other risk factors (i.e. other than beta) may also be useful for explaining share returns. Investors should therefore be cautious when using the model to evaluate investment performance.

This paper studies the empirical application of an asset pricing model derived from the irrational individual behavior of loss aversion. Previous research using loss aversion asset pricing finds conclusive evidence that estimations match market equity premium and volatility using simulation data. We find that within its empirical application, the estimated errors are comparable to errors estimated from the capital asset pricing model. This study of the correlations between rational and irrational asset pricing model from the empirical results finds validity for both estimated values. Finally, we see the importance of cultures, economic development and financial development on asset pricing through an empirical examination of five pacific-basin countries in the estimation of asset pricing models.