The Information Content of Implied Volatilities and Model-Free Volatility Expectations

The Information Content of Implied Volatilities and Model-Free Volatility Expectations PDF Author: Stephen J. Taylor
Publisher:
ISBN:
Category :
Languages : en
Pages : 64

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Book Description
The volatility information content of stock options for individual firms is measured using option prices for 149 U.S. firms during the period from January 1996 to December 1999. Volatility forecasts defined by historical stock returns, at-the-money (ATM) implied volatilities and model-free (MF) volatility expectations are compared for each firm. The recently developed model-free volatility expectation incorporates information across all strike prices, and it does not require the specification of an option pricing model.Our analysis of ARCH models shows that, for one-day-ahead estimation, historical estimates of conditional variances outperform both the ATM and the MF volatility estimates extracted from option prices for more than one-third of the firms. This result contrasts with the consensus about the informational efficiency of options written on stock indices; several recent studies find that option prices are more informative than daily stock returns when estimating and predicting index volatility. However, for the firms with the most actively traded options, we do find that the option forecasts are nearly always more informative than historical stock returns. When the prediction horizon extends until the expiry date of the options, our regression results show that the option forecasts are more informative than forecasts defined by historical returns for a substantial majority (86%) of the firms. Although the model-free (MF) volatility expectation is theoretically more appealing than alternative volatility estimates and has been demonstrated to be the most accurate predictor of realized volatility by Jiang and Tian (2005) for the Samp;P 500 index, the results for our firms show that the MF expectation only outperforms both the ATM implied volatility and the historical volatility for about one-third of the firms. The firms for which the MF expectation is best are not associated with a relatively high level of trading in away-from-the-money options.

The Information Content of Implied Volatility

The Information Content of Implied Volatility PDF Author: Linda Canina
Publisher:
ISBN:
Category : Stock price forecasting
Languages : en
Pages : 47

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The Informational Content of Implied Volatility

The Informational Content of Implied Volatility PDF Author: Linda Canina
Publisher:
ISBN:
Category : Stock options
Languages : en
Pages : 40

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The Information Content of Implied Volatilities and Model-Free Volatility Expectations

The Information Content of Implied Volatilities and Model-Free Volatility Expectations PDF Author: Stephen J. Taylor
Publisher:
ISBN:
Category :
Languages : en
Pages : 64

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Book Description
The volatility information content of stock options for individual firms is measured using option prices for 149 U.S. firms during the period from January 1996 to December 1999. Volatility forecasts defined by historical stock returns, at-the-money (ATM) implied volatilities and model-free (MF) volatility expectations are compared for each firm. The recently developed model-free volatility expectation incorporates information across all strike prices, and it does not require the specification of an option pricing model.Our analysis of ARCH models shows that, for one-day-ahead estimation, historical estimates of conditional variances outperform both the ATM and the MF volatility estimates extracted from option prices for more than one-third of the firms. This result contrasts with the consensus about the informational efficiency of options written on stock indices; several recent studies find that option prices are more informative than daily stock returns when estimating and predicting index volatility. However, for the firms with the most actively traded options, we do find that the option forecasts are nearly always more informative than historical stock returns. When the prediction horizon extends until the expiry date of the options, our regression results show that the option forecasts are more informative than forecasts defined by historical returns for a substantial majority (86%) of the firms. Although the model-free (MF) volatility expectation is theoretically more appealing than alternative volatility estimates and has been demonstrated to be the most accurate predictor of realized volatility by Jiang and Tian (2005) for the Samp;P 500 index, the results for our firms show that the MF expectation only outperforms both the ATM implied volatility and the historical volatility for about one-third of the firms. The firms for which the MF expectation is best are not associated with a relatively high level of trading in away-from-the-money options.

The Volatility Surface

The Volatility Surface PDF Author: Jim Gatheral
Publisher: John Wiley & Sons
ISBN: 1118046455
Category : Business & Economics
Languages : en
Pages : 204

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Book Description
Praise for The Volatility Surface "I'm thrilled by the appearance of Jim Gatheral's new book The Volatility Surface. The literature on stochastic volatility is vast, but difficult to penetrate and use. Gatheral's book, by contrast, is accessible and practical. It successfully charts a middle ground between specific examples and general models--achieving remarkable clarity without giving up sophistication, depth, or breadth." --Robert V. Kohn, Professor of Mathematics and Chair, Mathematical Finance Committee, Courant Institute of Mathematical Sciences, New York University "Concise yet comprehensive, equally attentive to both theory and phenomena, this book provides an unsurpassed account of the peculiarities of the implied volatility surface, its consequences for pricing and hedging, and the theories that struggle to explain it." --Emanuel Derman, author of My Life as a Quant "Jim Gatheral is the wiliest practitioner in the business. This very fine book is an outgrowth of the lecture notes prepared for one of the most popular classes at NYU's esteemed Courant Institute. The topics covered are at the forefront of research in mathematical finance and the author's treatment of them is simply the best available in this form." --Peter Carr, PhD, head of Quantitative Financial Research, Bloomberg LP Director of the Masters Program in Mathematical Finance, New York University "Jim Gatheral is an acknowledged master of advanced modeling for derivatives. In The Volatility Surface he reveals the secrets of dealing with the most important but most elusive of financial quantities, volatility." --Paul Wilmott, author and mathematician "As a teacher in the field of mathematical finance, I welcome Jim Gatheral's book as a significant development. Written by a Wall Street practitioner with extensive market and teaching experience, The Volatility Surface gives students access to a level of knowledge on derivatives which was not previously available. I strongly recommend it." --Marco Avellaneda, Director, Division of Mathematical Finance Courant Institute, New York University "Jim Gatheral could not have written a better book." --Bruno Dupire, winner of the 2006 Wilmott Cutting Edge Research Award Quantitative Research, Bloomberg LP

The Information Content in Implied Idiosyncratic Volatility and the Cross-Section of Stock Returns

The Information Content in Implied Idiosyncratic Volatility and the Cross-Section of Stock Returns PDF Author: Dean Diavatopoulos
Publisher:
ISBN:
Category :
Languages : en
Pages : 33

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Book Description
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.

On the Dynamics and Information Content of Implied Volatility

On the Dynamics and Information Content of Implied Volatility PDF Author: Bent Jesper Christensen
Publisher:
ISBN:
Category : Options (Finance)
Languages : en
Pages : 30

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The Information Content of the Implied Volatility from S & P 500 Index

The Information Content of the Implied Volatility from S & P 500 Index PDF Author: Loucas Demetriou
Publisher:
ISBN:
Category :
Languages : en
Pages :

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The Information Contained in Implied Volatility

The Information Contained in Implied Volatility PDF Author: Keith O'Malley
Publisher:
ISBN:
Category : Investment analysis
Languages : en
Pages : 0

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On the Dynamics and Information Content of Implied Volatility

On the Dynamics and Information Content of Implied Volatility PDF Author: Arnold W. Sametz
Publisher:
ISBN:
Category : Computer networks
Languages : en
Pages : 28

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The Information Content of Implied Volatility: an Empirical Study of the FTSE 100 Stock Index Options

The Information Content of Implied Volatility: an Empirical Study of the FTSE 100 Stock Index Options PDF Author: Charalambos Vovos
Publisher:
ISBN:
Category :
Languages : en
Pages :

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