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A Rehabilitation Of Stochastic Discount Factor Methodology
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Book Synopsis A Rehabilitation of Stochastic Discount Factor Methodology by : John Howland Cochrane
Download or read book A Rehabilitation of Stochastic Discount Factor Methodology written by John Howland Cochrane and published by . This book was released on 2001 with total page 7 pages. Available in PDF, EPUB and Kindle. Book excerpt: In a recent Journal of Finance article, Kan and Zhou (1999) find that the 'Stochastic discount factor' methodology using GMM is markedly inferior to traditional maximum likelihood even in a simple test of the static CAPM with i.i.d. normal returns. This result has gained wide attention. However, as Jagannathan and Wang (2001) point out, this result flows from a strange assumption: Kan and Zhou allow the ML estimate to know the mean market return ex-ante. I show how this information advantage explains Kan and Zhou's results. In fact, when treated symmetrically, the discount factor - GMM and traditional methodologies behave almost identically in linear i.i.d. environments
Book Synopsis The Stochastic Discount Factor and the Generalized Method of Moments by : Eni Koci
Download or read book The Stochastic Discount Factor and the Generalized Method of Moments written by Eni Koci and published by . This book was released on 2006 with total page 60 pages. Available in PDF, EPUB and Kindle. Book excerpt: Abstract: The fundamental theorem of asset pricing in finance states that the price of any asset is its expected discounted payoff. Ideally, the payoff is discounted by a factor, which depends on parameters present in the market, and it should be unique, in the sense that financial derivatives should be able to be priced using the same discount factor. In theory, risk neutral valuation implies the existence of a positive random variable, which is called the stochastic discount factor and is used to discount the payoffs of any asset. Apart from asset pricing another use of stochastic discount factor is to evaluate the performance of the of hedge fund managers. Among many methods used to evaluate the stochastic discount factor, generalized method of moments has become very popular. In this paper we will see how generalized method of moments is used to evaluate the stochastic discount factor on linear models and the calculation of stochastic discount factor using generalized method of moments for the popular model in finance CAPM.
Download or read book Working Paper Series written by and published by . This book was released on 2001 with total page 672 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis The Stochastic Discount Factor by : Fousseni Chabi-Yo
Download or read book The Stochastic Discount Factor written by Fousseni Chabi-Yo and published by . This book was released on 2005 with total page 39 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Stochastic Discount Factor Estimation Using State-space Theory and the Kalman Filter by : Serena Atim Agoro-Menyang
Download or read book Stochastic Discount Factor Estimation Using State-space Theory and the Kalman Filter written by Serena Atim Agoro-Menyang and published by . This book was released on 1996 with total page 218 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Real Estate Risk in Equity Returns by : Gaston Michel
Download or read book Real Estate Risk in Equity Returns written by Gaston Michel and published by Springer Science & Business Media. This book was released on 2009-08-03 with total page 182 pages. Available in PDF, EPUB and Kindle. Book excerpt: Gaston Michel investigates whether shocks to real estate markets constitute an important source of the risk that is priced in the cross section of equity returns. His results document that real estate risk explains a large part of the cross-sectional variation in equity returns. He shows that an alternative modeI which includes the real estate factor performs as well as or better than the Fama-French model in pricing equity returns.
Book Synopsis NBER Reporter by : National Bureau of Economic Research
Download or read book NBER Reporter written by National Bureau of Economic Research and published by . This book was released on 2001 with total page 432 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Spanning Tests in Return and Stochastic Discount Factor Mean-variance Frontiers by : Francisco Peñaranda
Download or read book Spanning Tests in Return and Stochastic Discount Factor Mean-variance Frontiers written by Francisco Peñaranda and published by . This book was released on 2004 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Misspecified Recovery by : Jaroslav Borovička
Download or read book Misspecified Recovery written by Jaroslav Borovička and published by . This book was released on 2019 with total page 52 pages. Available in PDF, EPUB and Kindle. Book excerpt: Asset prices contain information about the probability distribution of future states and the stochastic discounting of those states as used by investors. To better understand the challenge in distinguishing investors' beliefs from risk-adjusted discounting, we use Perron-Frobenius Theory to isolate a positive martingale component of the stochastic discount factor process. This component recovers a probability measure that absorbs long-term risk adjustments. When the martingale is not degenerate, surmising that this recovered probability captures investors' beliefs distorts inference about risk-return tradeoffs. Stochastic discount factors in many structural models of asset prices have empirically relevant martingale components.
Book Synopsis The Risk Management Process by : Christopher L. Culp
Download or read book The Risk Management Process written by Christopher L. Culp and published by John Wiley & Sons. This book was released on 2002-02-28 with total page 625 pages. Available in PDF, EPUB and Kindle. Book excerpt: Integrates essential risk management practices with practical corporate business strategies Focusing on educating readers on how to integrate risk management with corporate business strategy-not just on hedging practices-The Risk Management Process is the first financial risk management book that combines a detailed, big picture discussion of firm-wide risk management with a comprehensive discussion of derivatives-based hedging strategies and tactics. An essential component of any corporate business strategy today, risk management has become a mainstream business process at the highest level of the world's largest financial institutions, corporations, and investment management groups. Addressing the need for a well-balanced book on the subject, respected leader and teacher on the subject Christopher Culp has produced a well-balanced, comprehensive reference text for a broad audience of financial institutions and agents, nonfinancial corporations, and institutional investors.
Book Synopsis The Oxford Guide to Financial Modeling by : Thomas S. Y. Ho
Download or read book The Oxford Guide to Financial Modeling written by Thomas S. Y. Ho and published by Oxford University Press. This book was released on 2004-01-15 with total page 770 pages. Available in PDF, EPUB and Kindle. Book excerpt: The essential premise of this book is that theory and practice are equally important in describing financial modeling. In it the authors try to strike a balance in their discussions between theories that provide foundations for financial models and the institutional details that provide the context for applications of the models. The book presents the financial models of stock and bond options, exotic options, investment grade and high-yield bonds, convertible bonds, mortgage-backed securities, liabilities of financial institutions--the business model and the corporate model. It also describes the applications of the models to corporate finance. Furthermore, it relates the models to financial statements, risk management for an enterprise, and asset/liability management with illiquid instruments. The financial models are progressively presented from option pricing in the securities markets to firm valuation in corporate finance, following a format to emphasize the three aspects of a model: the set of assumptions, the model specification, and the model applications. Generally, financial modeling books segment the world of finance as "investments," "financial institutions," "corporate finance," and "securities analysis," and in so doing they rarely emphasize the relationships between the subjects. This unique book successfully ties the thought processes and applications of the financial models together and describes them as one process that provides business solutions. Created as a companion website to the book readers can visit www.thomasho.com to gain deeper understanding of the book's financial models. Interested readers can build and test the models described in the book using Excel, and they can submit their models to the site. Readers can also use the site's forum to discuss the models and can browse server based models to gain insights into the applications of the models. For those using the book in meetings or class settings the site provides Power Point descriptions of the chapters. Students can use available question banks on the chapters for studying.
Book Synopsis Assessing Specification Errors in Stochastic Discount Factor Models by : Lars Peter Hansen
Download or read book Assessing Specification Errors in Stochastic Discount Factor Models written by Lars Peter Hansen and published by . This book was released on 2009 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: In this paper we develop alternative ways to compare asset pricing models when it is understood that their implied stochastic discount factors do not price all portfolios correctly. Unlike comparisons based on Chi-Square statistics associated with null hypotheses that models are correct, our measures of model performance do not reward variability of discount factors. One of our measures is designed to exploit fully the implications of arbitrage-free pricing of derivative claims. We demonstrate empirically the usefulness of our methods in assessing some alternative stochastic discount factor models that have been proposed in the literature.
Book Synopsis Handbook of the Economics of Finance by : G. Constantinides
Download or read book Handbook of the Economics of Finance written by G. Constantinides and published by Elsevier. This book was released on 2003-11-04 with total page 698 pages. Available in PDF, EPUB and Kindle. Book excerpt: Volume 1B covers the economics of financial markets: the saving and investment decisions; the valuation of equities, derivatives, and fixed income securities; and market microstructure.
Book Synopsis Numerical Methods for Finance by : John Miller
Download or read book Numerical Methods for Finance written by John Miller and published by CRC Press. This book was released on 2007-09-21 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt: Featuring international contributors from both industry and academia, Numerical Methods for Finance explores new and relevant numerical methods for the solution of practical problems in finance. It is one of the few books entirely devoted to numerical methods as applied to the financial field. Presenting state-of-the-art methods in this area
Book Synopsis Quantitative Risk and Portfolio Management by : Kenneth J. Winston
Download or read book Quantitative Risk and Portfolio Management written by Kenneth J. Winston and published by Cambridge University Press. This book was released on 2023-09-21 with total page 647 pages. Available in PDF, EPUB and Kindle. Book excerpt: A modern introduction to risk and portfolio management for advanced undergraduate and beginning graduate students who will become practitioners in the field of quantitative finance, including extensive live data and Python code as online supplements which allow the application of theory to real-world situations.
Book Synopsis Advanced Mathematical Methods for Finance by : Julia Di Nunno
Download or read book Advanced Mathematical Methods for Finance written by Julia Di Nunno and published by Springer Science & Business Media. This book was released on 2011-03-29 with total page 532 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents innovations in the mathematical foundations of financial analysis and numerical methods for finance and applications to the modeling of risk. The topics selected include measures of risk, credit contagion, insider trading, information in finance, stochastic control and its applications to portfolio choices and liquidation, models of liquidity, pricing, and hedging. The models presented are based on the use of Brownian motion, Lévy processes and jump diffusions. Moreover, fractional Brownian motion and ambit processes are also introduced at various levels. The chosen blend of topics gives an overview of the frontiers of mathematics for finance. New results, new methods and new models are all introduced in different forms according to the subject. Additionally, the existing literature on the topic is reviewed. The diversity of the topics makes the book suitable for graduate students, researchers and practitioners in the areas of financial modeling and quantitative finance. The chapters will also be of interest to experts in the financial market interested in new methods and products. This volume presents the results of the European ESF research networking program Advanced Mathematical Methods for Finance.
Book Synopsis Stochastic Discount Factor Bounds with Conditioning Information by : Wayne E. Ferson
Download or read book Stochastic Discount Factor Bounds with Conditioning Information written by Wayne E. Ferson and published by . This book was released on 2002 with total page 46 pages. Available in PDF, EPUB and Kindle. Book excerpt: Hansen and Jagannathan (HJ, 1991) describe restrictions on the volatility of stochastic discount factors (SDFs) that price a given set of asset returns. This paper compares the sampling properties of different versions of HJ bounds that use conditioning information in the form of a given set of lagged instruments. HJ describe one way to use conditioning information. Their approach is to multiply the original returns by the lagged variables, and much of the asset pricing literature to date has followed this ihmultiplicativel. approach. We also study two versions of optimized HJ bounds with conditioning information. One is from Gallant, Hansen and Tauchen (1990) and the second is based on the unconditionally-efficient portfolios derived in Ferson and Siegel (2000). We document finite-sample biases in the HJ bounds, where the biased bounds reject asset-pricing models too often. We provide useful correction factors for the bias. We also evaluate the asymptotic standard errors for the HJ bounds, from Hansen, Heaton and Luttmer (1995)
