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Book Asset Pricing When Returns are Nonnormal

Download or read book Asset Pricing When Returns are Nonnormal written by Y. Peter Chung and published by . This book was released on 2002 with total page 23 pages. Available in PDF, EPUB and Kindle. Book excerpt: A number of papers (notably Fama and French (1993, 1995)) find that non-market risk factors, such as size and the book-to-market ratio, are priced by investors. We test whether these other risk factors are merely proxies for omitted higher-order market-risk factors. Using size-sorted portfolio returns at daily, weekly, monthly, quarterly, and semi-annual intervals, we find in every case that the distribution of returns differs significantly from normality. Since returns are not normal, we expect higher-order co-moments to matter to investors. We show that adding systematic co-moments (but not standard moments) of order 3 through 10 reduces the explanatory power of the Fama-French factors to insignificance in almost every case.

Book Fat Tailed and Skewed Asset Return Distributions

Download or read book Fat Tailed and Skewed Asset Return Distributions written by Svetlozar T. Rachev and published by John Wiley & Sons. This book was released on 2005-09-15 with total page 385 pages. Available in PDF, EPUB and Kindle. Book excerpt: While mainstream financial theories and applications assume that asset returns are normally distributed, overwhelming empirical evidence shows otherwise. Yet many professionals don’t appreciate the highly statistical models that take this empirical evidence into consideration. Fat-Tailed and Skewed Asset Return Distributions examines this dilemma and offers readers a less technical look at how portfolio selection, risk management, and option pricing modeling should and can be undertaken when the assumption of a non-normal distribution for asset returns is violated. Topics covered in this comprehensive book include an extensive discussion of probability distributions, estimating probability distributions, portfolio selection, alternative risk measures, and much more. Fat-Tailed and Skewed Asset Return Distributions provides a bridge between the highly technical theory of statistical distributional analysis, stochastic processes, and econometrics of financial returns and real-world risk management and investments.

Book Choosing Factors in a Multifactor Asset Pricing Model When Returns are Nonnormal

Download or read book Choosing Factors in a Multifactor Asset Pricing Model When Returns are Nonnormal written by Johan Parmler and published by . This book was released on 2008 with total page 30 pages. Available in PDF, EPUB and Kindle. Book excerpt: We use Bayesian techniques to select the factors in a multifactor asset pricing model when the assumption of normally distributed returns is relaxed. More precisely, we assume that asset returns are multivariate t-distributed. This setup allows us to capture the well known fat tail property of asset returns. Interest rates, premiums, returns on broadbased portfolios and macroeconomic variables are included in the set of factors. Data from both the US market and the Swedish market are investigated.

Book Multi moment Asset Allocation and Pricing Models

Download or read book Multi moment Asset Allocation and Pricing Models written by Emmanuel Jurczenko and published by John Wiley & Sons. This book was released on 2006-10-02 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt: While mainstream financial theories and applications assume that asset returns are normally distributed and individual preferences are quadratic, the overwhelming empirical evidence shows otherwise. Indeed, most of the asset returns exhibit “fat-tails” distributions and investors exhibit asymmetric preferences. These empirical findings lead to the development of a new area of research dedicated to the introduction of higher order moments in portfolio theory and asset pricing models. Multi-moment asset pricing is a revolutionary new way of modeling time series in finance which allows various degrees of long-term memory to be generated. It allows risk and prices of risk to vary through time enabling the accurate valuation of long-lived assets. This book presents the state-of-the art in multi-moment asset allocation and pricing models and provides many new developments in a single volume, collecting in a unified framework theoretical results and applications previously scattered throughout the financial literature. The topics covered in this comprehensive volume include: four-moment individual risk preferences, mathematics of the multi-moment efficient frontier, coherent asymmetric risks measures, hedge funds asset allocation under higher moments, time-varying specifications of (co)moments and multi-moment asset pricing models with homogeneous and heterogeneous agents. Written by leading academics, Multi-moment Asset Allocation and Pricing Models offers a unique opportunity to explore the latest findings in this new field of research.

Book Financial Modeling Under Non Gaussian Distributions

Download or read book Financial Modeling Under Non Gaussian Distributions written by Eric Jondeau and published by Springer Science & Business Media. This book was released on 2007-04-05 with total page 541 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book examines non-Gaussian distributions. It addresses the causes and consequences of non-normality and time dependency in both asset returns and option prices. The book is written for non-mathematicians who want to model financial market prices so the emphasis throughout is on practice. There are abundant empirical illustrations of the models and techniques described, many of which could be equally applied to other financial time series.

Book Asset Pricing with Time Varying Volatility

Download or read book Asset Pricing with Time Varying Volatility written by Victor Ng and published by . This book was released on 1989 with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Economic and Financial Modelling with EViews

Download or read book Economic and Financial Modelling with EViews written by Abdulkader Aljandali and published by Springer. This book was released on 2018-10-22 with total page 293 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Book Empirical Asset Pricing

Download or read book Empirical Asset Pricing written by Wayne Ferson and published by MIT Press. This book was released on 2019-03-12 with total page 497 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Book Essays in Asset Pricing

Download or read book Essays in Asset Pricing written by Ashish Tiwari and published by . This book was released on 1994 with total page 200 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Asset Pricing with Heterogeneous Agents and Non normal Return Distributions

Download or read book Asset Pricing with Heterogeneous Agents and Non normal Return Distributions written by Arthur Beddock and published by . This book was released on 2021 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Irrational Exuberance Reconsidered

Download or read book Irrational Exuberance Reconsidered written by Mathias Külpmann and published by Springer Science & Business Media. This book was released on 2013-03-20 with total page 233 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mathias Külpmann presents a framework to evaluate whether the stock market is in line with underlying fundamentals. The new and revised edition offers an up to date introduction to the controversy between rational asset pricing and behavioural finance. Empirical evidence of stock market overreaction are investigated within the paradigms of rational asset pricing and behavioural finance. Although this monograph will not promise the reader to become a millionaire, it offers a road to obtain a deeper understanding of the forces which drive stock returns. It should be of interest to anyone interested in what drives performance in the stock market.

Book Asset Pricing

    Book Details:
  • Author : John H. Cochrane
  • Publisher : Princeton University Press
  • Release : 2009-04-11
  • ISBN : 1400829135
  • Pages : 560 pages

Download or read book Asset Pricing written by John H. Cochrane and published by Princeton University Press. This book was released on 2009-04-11 with total page 560 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Book Asset Return Correlation and Non Normality

Download or read book Asset Return Correlation and Non Normality written by Michael Tschan and published by . This book was released on 2018 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The non-normal behaviour of stock returns of the S&P 500 index as well as of a vast majority of its components - as shown based on several statistical normality tests - entails the risk of shrinking Pearson correlation bounds. By means of maximum likelihood estimations (MLE), we identified a superior fit of the normal-inverse Gaussian (NIG) distribution compared to other distributions for most cases of univariate daily, weekly and monthly stock returns. Using the parameters for the marginal distributions estimated by MLE and applying Monte Carlo methods to model the Fréchet-Hoeffding bounds, we found in case of monthly - but not for daily - stock returns evidence for shrinking correlation intervals. In particular, a group of seven stocks indicated in a majority of simulations the anomaly of diminished attainable correlation ranges, caused by - a few - extreme historical return realisations. An analysis of the bivariate copulas using the Akaike information criterion (AIC) determined with the t-copula a representative of the elliptical copula family as the most appropriate instrument to describe the dependence structure between two stock returns. In 87% percent of the analysed stock combinations, the AIC affirms a better relative goodness of fit for this specific copula with MLE estimated parameters compared to 39 other copula families. Furthermore, two goodness of fit tests - albeit for a smaller subsample - provide evidence that assuming Gaussian copulas to describe the dependence structures between stock returns is much less problematic than the normality assumption for the marginal distributions. While we conclude that shrinking correlation bounds are of rather minor importance for stock returns, a simulation of distributions with higher skewness and kurtosis indicates the existence of this risk in other multivariate distributions, in particular in cases with marginal distributions which are only supported on semi-infinite in.

Book Volatility Analysis and Asset Pricing of Stock Portfolios

Download or read book Volatility Analysis and Asset Pricing of Stock Portfolios written by Klaus Grobys and published by BoD – Books on Demand. This book was released on 2009 with total page 142 pages. Available in PDF, EPUB and Kindle. Book excerpt: Since a vast number of investment funds are available at the market, it may be difficult for investors to figure out which fund might serve their needs the best. Especially in times where the uncertainty in the market increases, it might be even more important to figure out how investment funds response to such volatility shocks. Volatility as a risk measure may not be constant over time, but tight connected to the market risk in contrast. Hence, the exploration of the investment fund's volatility response to shocks in the stock market may give a deeper understanding of what the actual risk of an investor might be.

Book Forecasting Expected Returns in the Financial Markets

Download or read book Forecasting Expected Returns in the Financial Markets written by Stephen Satchell and published by Elsevier. This book was released on 2011-04-08 with total page 299 pages. Available in PDF, EPUB and Kindle. Book excerpt: Forecasting returns is as important as forecasting volatility in multiple areas of finance. This topic, essential to practitioners, is also studied by academics. In this new book, Dr Stephen Satchell brings together a collection of leading thinkers and practitioners from around the world who address this complex problem using the latest quantitative techniques. *Forecasting expected returns is an essential aspect of finance and highly technical *The first collection of papers to present new and developing techniques *International authors present both academic and practitioner perspectives