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Classical and behavioral finance are often seen as being at odds, but the idea of “popularity” has been introduced as a way of reconciling the two approaches. Investors like or dislike various characteristics of securities for rational reasons (as in classical finance) or irrational reasons (as in behavioral finance), which makes the assets popular or unpopular. In the capital markets, popular (unpopular) securities trade at prices that are higher (lower) than they would be otherwise; hence, the shares may provide lower (higher) expected returns.This book builds on this idea and expands it in two major ways. First, it introduces a rigorous asset pricing model, the popularity asset pricing model (PAPM), which adds investor preferences for security characteristics other than the risk and expected return that are part of the capital asset pricing model. A major conclusion of the PAPM is that the expected return of any security is a linear function of not only its systematic risk (beta) but also of all security characteristics that investors care about. The other major contribution of the book is new empirical work that, while confirming the well-known premiums (such as size, value, and liquidity) in a popularity context, supports the popularity hypothesis on the basis of portfolios of stocks based on such characteristics as brand value, sustainable competitive advantage, and reputation. Popularity unifies the factors that affect price in classical finance with those that drive price in behavioral finance, thus creating a unifying theory or bridge between classical and behavioral finance.
Risk and Return for Regulated Industries provides a much-needed, comprehensive review of how cost of capital risk arises and can be measured, how the special risks regulated industries face affect fair return, and the challenges that regulated industries are likely to face in the future. Rather than following the trend of broad industry introductions or textbook style reviews of utility finance, it covers the topics of most interest to regulators, regulated companies, regulatory lawyers, and rate-of-return analysts in all countries. Accordingly, the book also includes case studies about various countries and discussions of the lessons international regulatory procedures can offer. - Presents a unified treatment of the regulatory principles and practices used to assess the required return on capital - Addresses current practices before exploring the ways methods play out in practice, including irregularities, shortcomings, and concerns for the future - Focuses on developed economies instead of providing a comprehensive global reviews - Foreword by Stewart C. Myers
"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
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.
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.
Financial Markets and the Real Economy reviews the current academic literature on the macroeconomics of finance.
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.
We review and critically examine the standard approach to equity valuation using a constant risk-adjusted cost of capital, and we develop a new valuation approach discounting risk-adjusted fundamentals, such as expected free cash flows and residual operating income, using nominal zero-coupon interest rates. We show that standard estimates of the cost of capital, based on historical stock returns, are likely to be a significantly biased measure of the firm's cost of capital, but also that the bias is almost impossible to quantify empirically. The new approach recognizes that, in practice, interest rates, expected equity returns, and inflation rates are all stochastic. We explicitly characterize the risk-adjustments to the fundamentals in an equilibrium setting. We show how the term structure of risk-adjustments depends on both the time-series properties of the free cash flows and the accounting policy. Growth, persistence, and mean reversion of residual operating income created by competition in the product markets or by the accounting policy are key determinants of the term structure of risk-adjustments.