Working Papers


Book Description







An Empirical and Theoretical Analysis of Capital Asset Pricing Model


Book Description

The problem addressed in this dissertation research was the inability of the single-factor capital asset pricing model (CAPM) to identify relevant risk factors that investors consider in forming their return expectations for investing in individual stocks. Identifying the appropriate risk factors is important for investment decision making and is pertinent to the formation of stocks' prices in the stock market. Therefore, the purpose of this study was to examine theoretical and empirical validity of the CAPM and to develop and test a multifactor model to address and resolve the empirical shortcomings of the single-factor CAPM. To verify the empirical validity of the standard CAPM and of the multifactor model, five hypotheses were developed and tested against historical monthly data for U.S. public companies. Testing the CAPM hypothesis revealed that the explanatory power of the overall stock market rate of return in explaining individual stock's expected rates of return is very weak, suggesting the existence of other risk factors. Testing of the other hypotheses verified that the implied volatility of the overall market as a systematic risk factor and the companies' size and financial leverage as nonsystematic risk factors are important in determining stock's expected returns and investors should consider these factors in their investment decisions. The findings of this research have important implications for social change. The outcome of this study can change the way individual and institutional investors as well as corporations make investment decisions and thus change the equilibrium prices in the stock market. These changes in turn could lead to significant changes in the resource allocation in the economy, in the economy's production capacity and production composition, and in the employment structure of the society.




A New Model of Capital Asset Prices


Book Description

This book proposes a new capital asset pricing model dubbed the ZCAPM that outperforms other popular models in empirical tests using US stock returns. The ZCAPM is derived from Fischer Black’s well-known zero-beta CAPM, itself a more general form of the famous capital asset pricing model (CAPM) by 1990 Nobel Laureate William Sharpe and others. It is widely accepted that the CAPM has failed in its theoretical relation between market beta risk and average stock returns, as numerous studies have shown that it does not work in the real world with empirical stock return data. The upshot of the CAPM’s failure is that many new factors have been proposed by researchers. However, the number of factors proposed by authors has steadily increased into the hundreds over the past three decades. This new ZCAPM is a path-breaking asset pricing model that is shown to outperform popular models currently in practice in finance across different test assets and time periods. Since asset pricing is central to the field of finance, it can be broadly employed across many areas, including investment analysis, cost of equity analyses, valuation, corporate decision making, pension portfolio management, etc. The ZCAPM represents a revolution in finance that proves the CAPM as conceived by Sharpe and others is alive and well in a new form, and will certainly be of interest to academics, researchers, students, and professionals of finance, investing, and economics.




Evaluating Asset Pricing Models with Limited Commitment Using Household Consumption Data


Book Description

We evaluate the asset pricing implications of a class of models in which risk sharing is imperfect because of limited enforcement of intertemporal contracts. Lustig (2004) has shown that in such a model the asset pricing kernel can be written as a simple function of the aggregate consumption growth rate and the growth rate of consumption of the set of households that do not face binding enforcement constraints. These unconstrained households have lower consumption growth rates than all other households in the economy. We use household data on consumption growth from the U.S. Consumer Expenditure Survey to identify unconstrained households, to estimate the pricing kernel implied by these models and evaluate their performance in pricing aggregate risk. We find that for high values of the relative risk aversion coefficient, the limited enforcement pricing kernel generates a market price of risk that is substantially closer to the data than the one obtained using the standard complete markets asset pricing kernel.




Asset Pricing in the International Economy


Book Description

This paper presents a statistical and economic interpretation of the low and often economically implausible risk aversion estimates obtained for fixed income assets throughout the finance literature. For a statistical interpretation, Monte Carlo simulations are used to demonstrate that specification errors introduce a serious downward bias in parameter estimates derived from the standard asset pricing model. For an economic interpretation, an international version of the asset pricing model is presented. The model suggests that by reducing the effect of country specific disturbances, an international measure of consumption growth yields more accurate risk aversion estimates than a national measure. The results of asset pricing tests suggest that risk aversion estimates derived from models constructed for the international measures are economically plausible and close to each other across eight industrialized economies. These results are robust for several asset returns.




Asset Pricing Models with and Without Consumption Data


Book Description

This paper evaluates the ability of the empirical model of asset pricing of Campbell(1993a,b) to explain the time-series and cross-sectional variation of expected returns ofportfolios of stocks. In Campbell's model, an alternative risk-return relationship is derivedby substituting consumption out of the linearized first-order condition of the representativeagent. We compare this methodology to models that use actual consumption data, such asthe model of Epstein and Zin, 1989, 1991, and the standard consumption-based CAPM.Although we find that Campbell's model fits the data slightly better than models whichexplicitly price consumption risk, and provides reasonable estimates of the representativeagent's preference parameters, the parameter restrictions of the Campbell model, as well asits over-identifying orthogonality conditions, are generally rejected. The parameter restrictionsof the Campbell model, and the over-identifying conditions, are marginally not rejectedwhen the empirical model is augmented to account for the "size effect"




Estimating the Continuous Time Consumption Based Asset Pricing Model


Book Description

The consumption based asset pricing model predicts that excess yields are determined in a fairly simple way by the market's degree of relative risk aversion and by the pattern of covariances between percapita consumption growth and asset returns. Estimation and testingis complicated by the fact that the model's predictions relate to the instantaneous flow of consumption and point-in-time asset values, but only data on the integral or unit average of the consumption flow is available. In our paper, we show how to estimate the parameters of interest consistently from the available data by maximum likelihood. We estimate the market's degree of relative risk aversion and the instantaneous covariances of asset yields and consumption using six different data sets. We also test the model's overidentifying restrictions