Cross Section Of Option Returns And Idiosyncratic Stock Volatility
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Cross Section Of Option Returns And Idiosyncratic Stock Volatility
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Author : Jie Cao
language : en
Publisher:
Release Date : 2016
Cross Section Of Option Returns And Idiosyncratic Stock Volatility written by Jie Cao and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016 with categories.
This paper documents a robust new finding that delta-hedged equity option return decreases monotonically with an increase in the idiosyncratic volatility of the underlying stock. This result can not be explained by standard risk factors. It is distinct from existing anomalies in the stock market or volatility-related option mispricing. It is consistent with market imperfections and constrained financial intermediaries. Dealers charge a higher premium for options on high idiosyncratic volatility stocks due to their higher arbitrage costs. Controlling for limits to arbitrage proxies reduces the strength of the negative relation between delta-hedged option return and idiosyncratic volatility by about 40%.
The Information Content In Implied Idiosyncratic Volatility And The Cross Section Of Stock Returns
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Author : Dean Diavatopoulos
language : en
Publisher:
Release Date : 2014
The Information Content In Implied Idiosyncratic Volatility And The Cross Section Of Stock Returns written by Dean Diavatopoulos and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014 with categories.
Current literature is inconclusive as to whether idiosyncratic risk influences future stock returns and the direction of the impact. Prior studies are based on historical realized volatility. Implied volatilities from option prices represent the market's assessment of future risk and are likely a superior measure to historical realized volatility. We use implied idiosyncratic volatilities on firms with traded options to examine the relation between idiosyncratic volatility and future returns. We find a strong positive link between implied idiosyncratic risk and future returns. After considering the impact of implied idiosyncratic volatility, historical realized idiosyncratic volatility is unimportant. This performance is strongly tied to small size and high book-to-market equity firms.
The Cross Section Of Stock Return And Volatility
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Author :
language : en
Publisher:
Release Date : 2001
The Cross Section Of Stock Return And Volatility written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001 with categories.
There has been increasing research on the cross-sectional relation between stock return and volatility. Conclusions are, however, mixed, partially because volatility or variance is modeled or parameterized in various ways. This paper, by using the Jiang and Tian (2005)'s model-free method, estimates daily option implied volatility for all US individual stocks from 1996:01 to 2006:04, and then employs this information to extract monthly volatilities and their idiosyncratic parts for cross-sectional regression analyses. We follow the Fama and French (1992) cross-sectional regression procedure and show that each of the 4 monthly measures of change of total volatility, total volatility, expected idiosyncratic variance, and expected idiosyncratic volatility is a negative priced factor in the cross-sectional variation of stock returns. We also show that the negative correlation between return and total volatility or expected idiosyncratic variance or expected idiosyncratic volatility strengthens as leverage increases or credit rating worsens. However, leverage does not play a role in the relation between return and change of total volatility. Finally, responding to recent papers, we show that the investor sentiment does not have a significant impact on the cross- sectional relation between return and volatility.
Cross Sectional Stock Option Pricing And Factor Models Of Returns
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Author : Mihaela Serban
language : en
Publisher:
Release Date : 2009
Cross Sectional Stock Option Pricing And Factor Models Of Returns written by Mihaela Serban and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with categories.
Is the pricing of index and individual stock options consistent with a factor model of stock returns? To answer this question, we use returns and option prices for a cross-section of stocks and a market index to carry out an integrated estimation of a multivariate stochastic volatility models with systematic factors and idiosyncratic return components. In particular, we estimate both the objective and risk neutral (RN) dynamics of the model using particle filter techniques. For a one-factor quot;market modelquot; of stock returns we find that 1) the market (Samp;P 500) betas of individual stocks are similar under the objective and RN measures, 2) there is a statistically and economically important common factor in the volatility of idiosyncratic returns, 3) the factor loadings of individual stocks on this common component of idiosyncratic volatility are also similar under the objective and RN measures, and 4) both market and common idiosyncratic volatility appear to be priced in option prices.
Moneyness Volatility And The Cross Section Of Option Returns
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Author : Kevin Aretz
language : en
Publisher:
Release Date : 2018
Moneyness Volatility And The Cross Section Of Option Returns written by Kevin Aretz and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with categories.
We study the effect of an asset's volatility on the expected returns of European options written on the asset. A simple stochastic discount factor model suggests that the effect differs depending on whether variations in volatility are due to variations in systematic or idiosyncratic volatility. While variations in idiosyncratic volatility only affect an option's elasticity, variations in systematic volatility also oppositely affect the underlying asset's risk. Since moneyness modulates these effects, systematic volatility positively (negatively) prices options with high (low) asset-to-strike price ratios, while idiosyncratic volatility is unambiguously priced. Single-stock call option data support our predictions.
Idiosyncratic Volatility Its Expected Variation And The Cross Section Of Stock Returns
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Author : Nicole Branger
language : en
Publisher:
Release Date : 2019
Idiosyncratic Volatility Its Expected Variation And The Cross Section Of Stock Returns written by Nicole Branger and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with categories.
We show that the widely documented negative relation between idiosyncratic volatility (IVOL) and expected returns can be explained by the mean reversion of stocks' idiosyncratic volatilities. We use option-implied information to extract the mean reversion speed of IVOL in an almost model-free fashion. This allows us to identify stocks for which past IVOL is a bad proxy for expected IVOL. These stocks solely drive the negative relation, and a long--short portfolio earns a monthly risk-adjusted return of 2.74%, on average. In a horse race, the mean reversion speed is superior to prominent competing explanations of the IVOL puzzle.
Idiosyncratic Return Volatility In The Cross Section Of Stocks
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Author : Namho Kang
language : en
Publisher:
Release Date : 2011
Idiosyncratic Return Volatility In The Cross Section Of Stocks written by Namho Kang and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with Stocks categories.
This paper uncovers the changes in the cross-sectional distribution of idiosyncratic volatility of stocks over the period 1963--2008. The contribution of the top decile to the total market idiosyncratic volatility increased, while the contribution of the bottom decile decreased. We introduce a simple theoretical model showing that larger capital of Long/Short-Equity funds further exacerbates large idiosyncratic shocks but attenuates small idiosyncratic shocks. This effect is stronger for more illiquid stocks. Time-series and cross-sectional results are consistent with the predictions of the model. The results are robust to industry affiliation, stock liquidity, firm size, firm leverage, as well as sign of price change. These findings highlight the roll of hedge funds and other institutional investors in explaining the dynamics of extreme realizations in the cross-section of returns.
Empirical Asset Pricing
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Author : Turan G. Bali
language : en
Publisher: John Wiley & Sons
Release Date : 2016-04-04
Empirical Asset Pricing written by Turan G. Bali and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-04-04 with Business & Economics categories.
“Bali, Engle, and Murray have produced a highly accessible introduction to the techniques and evidence of modern empirical asset pricing. This book should be read and absorbed by every serious student of the field, academic and professional.” Eugene Fama, Robert R. McCormick Distinguished Service Professor of Finance, University of Chicago and 2013 Nobel Laureate in Economic Sciences “The empirical analysis of the cross-section of stock returns is a monumental achievement of half a century of finance research. Both the established facts and the methods used to discover them have subtle complexities that can mislead casual observers and novice researchers. Bali, Engle, and Murray’s clear and careful guide to these issues provides a firm foundation for future discoveries.” John Campbell, Morton L. and Carole S. Olshan Professor of Economics, Harvard University “Bali, Engle, and Murray provide clear and accessible descriptions of many of the most important empirical techniques and results in asset pricing.” Kenneth R. French, Roth Family Distinguished Professor of Finance, Tuck School of Business, Dartmouth College “This exciting new book presents a thorough review of what we know about the cross-section of stock returns. Given its comprehensive nature, systematic approach, and easy-to-understand language, the book is a valuable resource for any introductory PhD class in empirical asset pricing.” Lubos Pastor, Charles P. McQuaid Professor of Finance, University of Chicago Empirical Asset Pricing: The Cross Section of Stock Returns is a comprehensive overview of the most important findings of empirical asset pricing research. The book begins with thorough expositions of the most prevalent econometric techniques with in-depth discussions of the implementation and interpretation of results illustrated through detailed examples. The second half of the book applies these techniques to demonstrate the most salient patterns observed in stock returns. The phenomena documented form the basis for a range of investment strategies as well as the foundations of contemporary empirical asset pricing research. Empirical Asset Pricing: The Cross Section of Stock Returns also includes: Discussions on the driving forces behind the patterns observed in the stock market An extensive set of results that serve as a reference for practitioners and academics alike Numerous references to both contemporary and foundational research articles Empirical Asset Pricing: The Cross Section of Stock Returns is an ideal textbook for graduate-level courses in asset pricing and portfolio management. The book is also an indispensable reference for researchers and practitioners in finance and economics. Turan G. Bali, PhD, is the Robert Parker Chair Professor of Finance in the McDonough School of Business at Georgetown University. The recipient of the 2014 Jack Treynor prize, he is the coauthor of Mathematical Methods for Finance: Tools for Asset and Risk Management, also published by Wiley. Robert F. Engle, PhD, is the Michael Armellino Professor of Finance in the Stern School of Business at New York University. He is the 2003 Nobel Laureate in Economic Sciences, Director of the New York University Stern Volatility Institute, and co-founding President of the Society for Financial Econometrics. Scott Murray, PhD, is an Assistant Professor in the Department of Finance in the J. Mack Robinson College of Business at Georgia State University. He is the recipient of the 2014 Jack Treynor prize.
Variance Risk Financial Intermediation And The Cross Section Of Expected Option Returns
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Author : Norman Schürhoff
language : en
Publisher:
Release Date : 2011
Variance Risk Financial Intermediation And The Cross Section Of Expected Option Returns written by Norman Schürhoff and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with Intermediation (Finance) categories.
We explore the pricing of variance risk by decomposing stocks' total variance into systematic and idiosyncratic return variances. While systematic variance risk exhibits a negative price of risk, common shocks to the variances of idiosyncratic returns carry a large positive risk premium. This implies investors pay for insurance against increases (declines) in systematic (idiosyncratic) variance, even though both variances comove countercyclically. Common idiosyncratic variance risk is an important determinant for the cross-section of expected option returns. These findings reconcile several phenomena, including the pricing differences between index and stock options, the cross-sectional variation in stock option expensiveness, the volatility mispricing puzzle, and the significant returns earned on various option portfolio strategies. Our results are consistent with theories of financial intermediation under capital constraints.
Idiosyncratic Volatility And The Cross Section Of Expected Returns
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Author : Turan G. Bali
language : en
Publisher:
Release Date : 2012
Idiosyncratic Volatility And The Cross Section Of Expected Returns written by Turan G. Bali and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with categories.
This paper examines the cross-sectional relation between idiosyncratic volatility and expected stock returns. The results indicate that (i) data frequency used to estimate idiosyncratic volatility, (ii) weighting scheme used to compute average portfolio returns, (iii) breakpoints utilized to sort stocks into quintile portfolios, and (iv) using a screen for size, price and liquidity play a critical role in determining the existence and significance of a relation between idiosyncratic risk and the cross-section of expected returns. Portfolio-level analyses based on two different measures of idiosyncratic volatility (estimated using daily and monthly data), three weighting schemes (value-weighted, equal-weighted, inverse-volatility-weighted), three breakpoints (CRSP, NYSE, equal-market-share), and two different samples (NYSE/AMEX/NASDAQ and NYSE) indicate that there is no robust, significant relation between idiosyncratic volatility and expected returns.