Download or read book A Stochastic Discount Factor Volatility Upper Bound in a Mean Variance Skewness World written by Valerio Potì and published by . This book was released on 2007 with total page 50 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper employs a stochastic discount factor (SDF) volatility upper bound to limit the attainable maximal Sharpe ratio and thus, together with a no arbitrage condition, to rule out quot;good deals.quot; While no-arbitrage and the SDF volatility bound imply relatively weak assumptions about investors' preferences and do not require the specification of a full-blown asset pricing theory, they do provide useful restrictions on factor model estimates. This is shown by imposing these restrictions in the estimation of various multifactor models that allow for a non-zero price of coskewness risk. Empirically, while coskewness explains cross-sectional variation in average excess returns not explained by the Fama and French (1996) factors, its price is of a much more modest magnitude than in unrestricted estimates.
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:
Download or read book Volatility Bounds for Stochastic Discount Factors written by Giorgio De Santis and published by . This book was released on 1993 with total page 154 pages. Available in PDF, EPUB and Kindle. Book excerpt:
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:
Download or read book Stochastic Volatility written by Neil Shephard and published by OUP Oxford. This book was released on 2005-03-10 with total page 536 pages. Available in PDF, EPUB and Kindle. Book excerpt: Stochastic volatility is the main concept used in the fields of financial economics and mathematical finance to deal with time-varying volatility in financial markets. This book brings together some of the main papers that have influenced the field of the econometrics of stochastic volatility, and shows that the development of this subject has been highly multidisciplinary, with results drawn from financial economics, probability theory, and econometrics, blending to produce methods and models that have aided our understanding of the realistic pricing of options, efficient asset allocation, and accurate risk assessment. A lengthy introduction by the editor connects the papers with the literature.
Download or read book Volatility Bounds for Stochastic Discount Factors on Global Financial Markets written by Wolfgang Drobetz and published by . This book was released on 1999 with total page 49 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Stochastic Discount Factor Bounds with Conditioning Information written by Wayne E. Ferson and published by . This book was released on 2010 with total page 48 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).
Download or read book Stock Price Volatility written by Stephen F. LeRoy and published by . This book was released on 1990 with total page 70 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Variance Bounds on the Permanent and Transitory Components of Stochastic Discount Factors written by Gurdip S. Bakshi and published by . This book was released on 2011 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
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)
Download or read book Real Time Distribution of Stochastic Discount Factors written by Fousseni Chabi-Yo and published by . This book was released on 2019 with total page 117 pages. Available in PDF, EPUB and Kindle. Book excerpt: I use option prices to infer real-time moments of stochastic discount factors (SDFs). The moments are estimated, from daily SP 500 index option data, in real time, without relying on past observations. These moments are forward-looking and significantly predict the market excess return. The theory suggests that the SDF variance (kurtosis) is positively priced while the SDF skewness is negatively priced in the cross section of returns. A cross-sectional analysis shows that the price of risks associated with the moments of the SDF are economically and statistically significant after controlling for a comprehensible set of economic variables.
Download or read book Volatility of the Stochastic Discount Factor and the Distinction Between Risk neutral and Objective Probability Measures written by Gurdip Bakshi and published by . This book was released on 2004 with total page 18 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Projections of the Stochastic Discount Factor and Optimal Volatility Derivates written by Artem Dyachenko and published by . This book was released on 2019 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book A Characterization of the Coskewness Cokurtosis Pricing Model written by Kerry Back and published by . This book was released on 2014 with total page 9 pages. Available in PDF, EPUB and Kindle. Book excerpt: The coskewness-cokurtosis pricing model is equivalent to there not being any return for which the alpha is positive and for which the residual risk has positive coskewness and negative cokurtosis with the market. Such returns would be extremely attractive to investors with mean-variance-skewness-kurtosis preferences who hold the market portfolio. This result establishes a parallel to the CAPM, which is equivalent to the absence of positive alpha returns. It also establishes a parallel to the fundamental theorem of asset pricing, because it relates absence of portfolios with unusually good costs/payoffs to the existence of a stochastic discount factor of a particular type.
Download or read book Agnostic Tests of Stochastic Discount Factor Theory written by Kuntara Pukthuanthong and published by . This book was released on 2019 with total page 51 pages. Available in PDF, EPUB and Kindle. Book excerpt: We propose and implement tests for the existence of a common stochastic discount factor (SDF). Our tests are agnostic because they do not require macroeconomic data or preference assumptions; they depend only on observed asset returns. Our test statistic is immune to the form of the multivariate return distribution, including its factor structure. After examining test features and power with simulations, we apply the tests empirically to data on U.S. equities, bonds, currencies, commodities and real estate. The empirical evidence is consistent with a unique positive SDF that prices all U.S. assets and satisfies the Hansen/Jagannathan variance bound.
Download or read book Derivatives and Hedge Funds written by Stephen Satchell and published by Springer. This book was released on 2016-05-18 with total page 416 pages. Available in PDF, EPUB and Kindle. Book excerpt: Over the last 20 years hedge funds and derivatives have fluctuated in reputational terms; they have been blamed for the global financial crisis and been praised for the provision of liquidity in troubled times. Both topics are rather under-researched due to a combination of data and secrecy issues. This book is a collection of papers celebrating 20 years of the Journal of Derivatives and Hedge Funds (JDHF). The 18 papers included in this volume represent a small sample of influential papers included during the life of the Journal, representing industry-orientated research in these areas. With a Preface from co-editor of the journal Stephen Satchell, the first part of the collection focuses on hedge funds and the second on markets, prices and products.
Download or read book Trading Volatility written by Colin Bennett and published by . This book was released on 2014-08-17 with total page 316 pages. Available in PDF, EPUB and Kindle. Book excerpt: This publication aims to fill the void between books providing an introduction to derivatives, and advanced books whose target audience are members of quantitative modelling community. In order to appeal to the widest audience, this publication tries to assume the least amount of prior knowledge. The content quickly moves onto more advanced subjects in order to concentrate on more practical and advanced topics. "A master piece to learn in a nutshell all the essentials about volatility with a practical and lively approach. A must read!" Carole Bernard, Equity Derivatives Specialist at Bloomberg "This book could be seen as the 'volatility bible'!" Markus-Alexander Flesch, Head of Sales & Marketing at Eurex "I highly recommend this book both for those new to the equity derivatives business, and for more advanced readers. The balance between theory and practice is struck At-The-Money" Paul Stephens, Head of Institutional Marketing at CBOE "One of the best resources out there for the volatility community" Paul Britton, CEO and Founder of Capstone Investment Advisors "Colin has managed to convey often complex derivative and volatility concepts with an admirable simplicity, a welcome change from the all-too-dense tomes one usually finds on the subject" Edmund Shing PhD, former Proprietary Trader at BNP Paribas "In a crowded space, Colin has supplied a useful and concise guide" Gary Delany, Director Europe at the Options Industry Council
