Principles of the Capital Asset Pricing Model and the Importance in Firm Valuation


Book Description

Research Paper (undergraduate) from the year 2007 in the subject Business economics - Investment and Finance, grade: 1,0, University of Applied Sciences Berlin, course: Financial Management, language: English, abstract: In everything you do, or don’t do, there is a chance that something will happen that you didn’t count on. Risk is the potential for unexpected things to happen. Risk aversion is a common thing among almost all investors. Investors generally dislike uncertainty or risk and agree that a safe dollar is worth more than a risky one. Therefore, investors will have to be persuaded to take higher risk by the offer of higher returns. In this investment context, the additional compensation for taking on higher risk is a higher rate of return.Every investment has a risk element: The investor will always not be certainwhether the investment will be able to generate the required income. The degree of risk defers from industry to industry but also from company to company. It is not possible to eliminate the investment risk altogether but to reduce is. Nevertheless, often there remains a risky part. According to the degree of risk, the investor demands a corresponding rate of return that is, of course, higher than the rate of return of risk-free investments. Taking on a risk should be paid off. The Capital Asset Pricing Model (CAPM) is an economic model for valuing stocks, securities, derivatives and/or assets by relating risk and expected rate of return. CAPM is based on the idea that investors demand additional expected return if they are asked to accept additional risk.




Estimating Beta When the CAPM Is True


Book Description

Perhaps the most frequently used estimator of the Capital Asset Pricing Model beta in finance is the Ordinary Least Squares estimate, obtained by regressing excess security return against excess market return, with an intercept. This paper shows that the Ordinary Least Squares estimator is inappropriate because it ignores the structure imposed by the Capital Asset Pricing Model on the parameters of the multivariate density of security returns.




Estimation of Beta in a Simple Functional Capital Asset Pricing Model for High Frequency US Stock Data


Book Description

This project applies the methods of functional data analysis (FDA) to intra-daily returns of US corporations. It focuses on an extension of the Capital Asset Pricing Model (CAPM) to such returns. The CAPM is essentially a linear regression with the slope coefficient beta. Returns of an asset are regressed on index return. We compare the estimates of beta obtained for the daily and intra-daily returns. The variability of these estimates is assessed by two bootstrap methods. All computations are performed using statistical software R. Customized functions are developed to process the raw data, estimate the parameters and assess their variability. The results turn out to be: First, the estimates of beta obtained for the intradaily returns have bigger absolute values than those for the daily returns; secondly, to assess the variability of the estimates of beta obtained for the intra-daily returns, residual bootstrap method is more reliable than pairwise bootstrap method; thirdly, the estimates of beta obtained for the intra-daily returns are much higher in absolute values in 2004 than those in any other years.







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.




Asset Pricing


Book Description

Covers applications to risky assets traded on the markets for funds, fixed-income products and electricity derivatives. Integrates the latest research and includes a new chapter on financial modeling.










Capm Estimates Through Regression


Book Description

This book analyzes the sensitivity of Capital Asset Pricing Model (CAPM) estimates to selected data frequency and time frame using Ordinary Least Square Methodology (OLS). Analysis reveal that CAPM estimates are impacted by the these variables. Daily data as apposed to recommended monthly frequency and 1.5 year time period provide the best estimates. However, the predicting power of the model can be regarded poor as it explain only 8% variation in returns.