The Capital Asset Pricing Model in the 21st Century

The Capital Asset Pricing Model in the 21st Century

Author: Haim Levy

Publisher: Cambridge University Press

Published: 2011-10-30

Total Pages: 457

ISBN-13: 1139503022

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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.


Portfolio Theory and Capital Markets

Portfolio Theory and Capital Markets

Author: William F. Sharpe

Publisher: McGraw-Hill Companies

Published: 2000

Total Pages: 0

ISBN-13: 9780071353205

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"Thirty years ago, Portfolio Theory and Capital Markets laid the groundwork for today's investment standards, from modern portfolio theory to derivatives, pricing and investment, equity index funds, and more. By providing invaluable insights into the Capital Asset Pricing Model (CAPM) and introducing such innovations as the Sharpe Ratio, Dr. William Sharpe established himself as one of the most influential financial minds of the twentieth century. Now, in Portfolio Theory and Capital Markets, The Original Edition, complete with a new foreword written by Dr. Sharpe, McGraw-Hill reintroduces this essential book - and places its lessons in a meaningful context for modern investors throughout the world."--BOOK JACKET.Title Summary field provided by Blackwell North America, Inc. All Rights Reserved


Economic and Financial Modelling with EViews

Economic and Financial Modelling with EViews

Author: Abdulkader Aljandali

Publisher: Springer

Published: 2018-10-22

Total Pages: 293

ISBN-13: 3319929852

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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.


Asset Pricing

Asset Pricing

Author: John H. Cochrane

Publisher: Princeton University Press

Published: 2009-04-11

Total Pages: 552

ISBN-13: 1400829135

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Winner of the prestigious Paul A. Samuelson Award for scholarly writing on lifelong financial security, John Cochrane's Asset Pricing now appears in a revised edition that unifies and brings the science of asset pricing up to date for advanced students and professionals. Cochrane traces the pricing of all assets back to a single idea—price equals expected discounted payoff—that captures the macro-economic risks underlying each security's value. By using a single, stochastic discount factor rather than a separate set of tricks for each asset class, Cochrane builds a unified account of modern asset pricing. He presents applications to stocks, bonds, and options. Each model—consumption based, CAPM, multifactor, term structure, and option pricing—is derived as a different specification of the discounted factor. The discount factor framework also leads to a state-space geometry for mean-variance frontiers and asset pricing models. It puts payoffs in different states of nature on the axes rather than mean and variance of return, leading to a new and conveniently linear geometrical representation of asset pricing ideas. Cochrane approaches empirical work with the Generalized Method of Moments, which studies sample average prices and discounted payoffs to determine whether price does equal expected discounted payoff. He translates between the discount factor, GMM, and state-space language and the beta, mean-variance, and regression language common in empirical work and earlier theory. The book also includes a review of recent empirical work on return predictability, value and other puzzles in the cross section, and equity premium puzzles and their resolution. Written to be a summary for academics and professionals as well as a textbook, this book condenses and advances recent scholarship in financial economics.


Empirical Asset Pricing

Empirical Asset Pricing

Author: Wayne Ferson

Publisher: MIT Press

Published: 2019-03-12

Total Pages: 497

ISBN-13: 0262039370

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An introduction to the theory and methods of empirical asset pricing, integrating classical foundations with recent developments. This book offers a comprehensive advanced introduction to asset pricing, the study of models for the prices and returns of various securities. The focus is empirical, emphasizing how the models relate to the data. The book offers a uniquely integrated treatment, combining classical foundations with more recent developments in the literature and relating some of the material to applications in investment management. It covers the theory of empirical asset pricing, the main empirical methods, and a range of applied topics. The book introduces the theory of empirical asset pricing through three main paradigms: mean variance analysis, stochastic discount factors, and beta pricing models. It describes empirical methods, beginning with the generalized method of moments (GMM) and viewing other methods as special cases of GMM; offers a comprehensive review of fund performance evaluation; and presents selected applied topics, including a substantial chapter on predictability in asset markets that covers predicting the level of returns, volatility and higher moments, and predicting cross-sectional differences in returns. Other chapters cover production-based asset pricing, long-run risk models, the Campbell-Shiller approximation, the debate on covariance versus characteristics, and the relation of volatility to the cross-section of stock returns. An extensive reference section captures the current state of the field. The book is intended for use by graduate students in finance and economics; it can also serve as a reference for professionals.


An Empirical and Theoretical Analysis of Capital Asset Pricing Model

An Empirical and Theoretical Analysis of Capital Asset Pricing Model

Author: Mohammad Sharifzadeh

Publisher: Universal-Publishers

Published: 2010-11-18

Total Pages: 180

ISBN-13: 1599423758

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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.


Mathematical and Statistical Methods for Actuarial Sciences and Finance

Mathematical and Statistical Methods for Actuarial Sciences and Finance

Author: Marco Corazza

Publisher: Springer Science & Business Media

Published: 2011-06-07

Total Pages: 315

ISBN-13: 8847014816

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This book features selected papers from the international conference MAF 2008 that cover a wide variety of subjects in actuarial, insurance and financial fields, all treated in light of the successful cooperation between mathematics and statistics.


Proceedings of the 2022 4th International Conference on Economic Management and Cultural Industry (ICEMCI 2022)

Proceedings of the 2022 4th International Conference on Economic Management and Cultural Industry (ICEMCI 2022)

Author: Hrushikesh Mallick

Publisher: Springer Nature

Published: 2023-01-13

Total Pages: 2160

ISBN-13: 9464630981

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This is an open access book. 2022 4th International Conference on Economic Management and Cultural Industry (ICEMCI 2022) to be held in Chongqing (Online) on October 14-16, 2022. As the leader of the global trend of scientific and technological innovation, China is constantly creating a more open scientific and technological innovation environment, expanding the depth and breadth of academic cooperation, and building a shared innovation community. These efforts are making new contributions to globalization and building a community with a shared future for mankind. ICEMCI aims to bring together innovative academics and industry experts in Economic Management and Cultural Industry into a common forum. We will discuss and research on areas such as International Economics and Trade, Sustainable Economic Development, Economic Statistics, Economic Policy, The impact of cultural industries on the economy, etc. ICEMCI 2022 also aims to provide a platform for experts, scholars, engineers, technicians and technology R&D personnel to share scientific research results and cutting-edge technologies, understand academic development trends, expand research ideas, strengthen academic research and discussion, and promote cooperation in the industrialization of academic achievements . With the theme "Economic Management and Cultural Industry", ICEMCI 2022 aspires to keeping up with advances and changes to a consistently morphing field. Leading researchers and industry experts from around the globe will be presenting the latest studies through papers, keynote speeches and oral presentations. We warmly invite you to participate in ICEMCI 2022 and look forward to seeing you in Chongqing !


The Econometrics of Financial Markets

The Econometrics of Financial Markets

Author: John Y. Campbell

Publisher: Princeton University Press

Published: 2012-06-28

Total Pages: 630

ISBN-13: 1400830214

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The past twenty years have seen an extraordinary growth in the use of quantitative methods in financial markets. Finance professionals now routinely use sophisticated statistical techniques in portfolio management, proprietary trading, risk management, financial consulting, and securities regulation. This graduate-level textbook is intended for PhD students, advanced MBA students, and industry professionals interested in the econometrics of financial modeling. The book covers the entire spectrum of empirical finance, including: the predictability of asset returns, tests of the Random Walk Hypothesis, the microstructure of securities markets, event analysis, the Capital Asset Pricing Model and the Arbitrage Pricing Theory, the term structure of interest rates, dynamic models of economic equilibrium, and nonlinear financial models such as ARCH, neural networks, statistical fractals, and chaos theory. Each chapter develops statistical techniques within the context of a particular financial application. This exciting new text contains a unique and accessible combination of theory and practice, bringing state-of-the-art statistical techniques to the forefront of financial applications. Each chapter also includes a discussion of recent empirical evidence, for example, the rejection of the Random Walk Hypothesis, as well as problems designed to help readers incorporate what they have read into their own applications.