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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

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.

A New Model of Capital Asset Prices

Author: James W. Kolari

Publisher: Springer Nature

Published: 2021-03-01

Total Pages: 326

ISBN-13: 3030651975

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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.

Economic Ideas You Should Forget

Author: Bruno S. Frey

Publisher: Springer

Published: 2017-03-08

Total Pages: 166

ISBN-13: 3319474588

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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.

The Capital Asset Pricing Model

Author:

Publisher: Bookboon

Published:

Total Pages: 57

ISBN-13: 8776817121

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Lecture Notes In Investment: Investment Fundamentals

Author: Eliezer Z Prisman

Publisher: World Scientific

Published: 2020-11-24

Total Pages: 280

ISBN-13: 9811219575

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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.

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

Author: Abdulkader Aljandali

Publisher: Springer

Published: 2018-10-22

Total Pages: 284

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.

Handbook Of Financial Econometrics, Mathematics, Statistics, And Machine Learning (In 4 Volumes)

Author: Cheng Few Lee

Publisher: World Scientific

Published: 2020-07-30

Total Pages: 5053

ISBN-13: 9811202400

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This four-volume handbook covers important concepts and tools used in the fields of financial econometrics, mathematics, statistics, and machine learning. Econometric methods have been applied in asset pricing, corporate finance, international finance, options and futures, risk management, and in stress testing for financial institutions. This handbook discusses a variety of econometric methods, including single equation multiple regression, simultaneous equation regression, and panel data analysis, among others. It also covers statistical distributions, such as the binomial and log normal distributions, in light of their applications to portfolio theory and asset management in addition to their use in research regarding options and futures contracts.In both theory and methodology, we need to rely upon mathematics, which includes linear algebra, geometry, differential equations, Stochastic differential equation (Ito calculus), optimization, constrained optimization, and others. These forms of mathematics have been used to derive capital market line, security market line (capital asset pricing model), option pricing model, portfolio analysis, and others.In recent times, an increased importance has been given to computer technology in financial research. Different computer languages and programming techniques are important tools for empirical research in finance. Hence, simulation, machine learning, big data, and financial payments are explored in this handbook.Led by Distinguished Professor Cheng Few Lee from Rutgers University, this multi-volume work integrates theoretical, methodological, and practical issues based on his years of academic and industry experience.

Asset Pricing

Author: John H. Cochrane

Publisher: Princeton University Press

Published: 2009-04-11

Total Pages: 560

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.

Popularity: A Bridge between Classical and Behavioral Finance

Author: Roger G. Ibbotson

Publisher: CFA Institute Research Foundation

Published: 2018

Total Pages: 128

ISBN-13: 1944960619

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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.