The Capital Asset Pricing Model

The Capital Asset Pricing Model (CAPM) and the mean-variance (M-V) rule, which are based on classic expected utility theory, have been heavily criticized theoretically and empirically. The advent of behavioral economics, prospect theory and other psychology-minded approaches in finance challenges the rational investor model from which CAPM and M-V derive. Haim Levy argues that the tension between the classic financial models and behavioral economics approaches is more apparent than real. This book aims to relax the tension between the two paradigms. Specifically, Professor Levy shows that although behavioral economics contradicts aspects of expected utility theory, CAPM and M-V are intact in both expected utility theory and cumulative prospect theory frameworks. There is furthermore no evidence to reject CAPM empirically when ex-ante parameters are employed. Professionals may thus comfortably teach and use CAPM and behavioral economics or cumulative prospect theory as coexisting paradigms.

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.

This practical guide in Eviews is aimed at practitioners and students in business, economics, econometrics, and finance. It uses a step-by-step approach to equip readers with a toolkit that enables them to make the most of this widely used econometric analysis software. Statistical and econometrics concepts are explained visually with examples, problems, and solutions. Developed by economists, the Eviews statistical software package is used most commonly for time-series oriented econometric analysis. It allows users to quickly develop statistical relations from data and then use those relations to forecast future values of the data. The package provides convenient ways to enter or upload data series, create new series from existing ones, display and print series, carry out statistical analyses of relationships among series, and manipulate results and output. This highly hands-on resource includes more than 200 illustrative graphs and tables and tutorials throughout. Abdulkader Aljandali is Senior Lecturer at Coventry University in London. He is currently leading the Stochastic Finance Module taught as part of the Global Financial Trading MSc. His previously published work includes Exchange Rate Volatility in Emerging Markers, Quantitative Analysis, Multivariate Methods & Forecasting with IBM SPSS Statistics and Multivariate Methods and Forecasting with IBM® SPSS® Statistics. Dr Aljandali is an established member of the British Accounting and Finance Association and the Higher Education Academy. Motasam Tatahi is a specialist in the areas of Macroeconomics, Financial Economics, and Financial Econometrics at the European Business School, Regent’s University London, where he serves as Principal Lecturer and Dissertation Coordinator for the MSc in Global Banking and Finance at The European Business School-London.

Reporting on cutting-edge advances in economics, this book presents a selection of commentaries that reveal the weaknesses of several core economics concepts. Economics is a vigorous and progressive science, which does not lose its force when particular parts of its theory are empirically invalidated; instead, they contribute to the accumulation of knowledge. By discussing problematic theoretical assumptions and drawing on the latest empirical research, the authors question specific hypotheses and reject major economic ideas from the “Coase Theorem” to “Say’s Law” and “Bayesianism.” Many of these ideas remain prominent among politicians, economists and the general public. Yet, in the light of the financial crisis, they have lost both their relevance and supporting empirical evidence. This fascinating and thought-provoking collection of 71 short essays written by respected economists and social scientists from all over the world will appeal to anyone interested in scientific progress and the further development of economics.

Seminar paper from the year 2015 in the subject Business economics - Investment and Finance, grade: 1,00, University of Innsbruck (Department of Banking and Finance), course: Proseminar: Financial Management, language: English, abstract: The purpose of this paper is to do empirical research on the capital asset pricing model. The bases of our research are the returns of three stocks, the S&P 500 index which represents the market and the LIBOR as a proxy for the risk-free interest rate. The three companies that were chosen in this paper were Kellogg Company, KB Financial Group Inc. and Kate Spade & Company and all of them in combination represent our fictive market.

This is an introduction to an investment course that focuses on basic models used in the financial industry for investment and decision making. The course begins with an overview of the investment environment in developed markets, followed by a more in-depth analysis of key investment topics. These topics include modern portfolio theory, asset pricing models, term structure of interest rates, stock and bond portfolio management and evaluation of portfolio performance. Modern finance extensively uses the concept of arbitrage, or rather the lack of it in financial markets, and the course highlights such uses in different circumstances.The course takes a hands-on approach with the aid of a software package, Maple™, the details of which will be explained during the first lecture. Consequently, most lectures will be divided between a theoretical lecture and a lab — a practical implementation of the theoretical material of the lecture. The use of the Maple™ software in this course simulates, to a certain extent, a professional environment. It allows visualizations of different concepts, minimizes tedious algebraic calculations and the use of calculus while equipping students with intuitive understanding. This is facilitated by the symbolic power of Maple™ and its excellent graphic and animation capabilities.Institutional material is surveyed very concisely, so the reader gets an appreciation of the investment 'lay of the land'. It is enhanced by an eLearning unit, self-administrated quizzes as well as a stock market game, utilizing StockTrack™. StockTrack™ introduces students to trading in the real world by practicing different types of orders as well as introducing conventions common in the investment community.

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.