Access the full text.
Sign up today, get DeepDyve free for 14 days.
Mikhail Chernov, Eric Ghysels (2000)
A study towards a unified approach to the joint estimation of objective and risk neutral measures for the purpose of options valuationJournal of Financial Economics, 56
G. Barone-Adesi, R. Engle, Loriano Mancini (2008)
A GARCH Option Pricing Model with Filtered Historical SimulationNew York University Stern School of Business Research Paper Series
S. Heston (1993)
A Closed-Form Solution for Options with Stochastic Volatility with Applications to Bond and Currency OptionsReview of Financial Studies, 6
Jun Pan (2001)
The Jump-Risk Premia Implicit in Options : Evidence from an Integrated Time-Series Study
J. Duan (1997)
Augmented GARCH (p,q) process and its diffusion limitJournal of Econometrics, 79
S. Heston, Saikat Nandi (2000)
A Closed-Form GARCH Option Valuation ModelDerivatives
Peter Christoffersen, Steve Heston, Kris Jacobs, Cirano, Peter Carr, F. Diebold, Rob Engle, Nour Meddahi, Haluk
Série Scientifique Scientific Series Option Valuation with Conditional Skewness Option Valuation with Conditional Skewness
H. Johnson, D. Shanno (1987)
Option Pricing when the Variance Is ChangingJournal of Financial and Quantitative Analysis, 22
R. Engle (1982)
Autoregressive conditional heteroscedasticity with estimates of the variance of United Kingdom inflationEconometrica, 50
J. Duan (1994)
A Unified Theory of Option Pricing under Stochastic Volatility from GARCH to Diffusion
G. Vilkov (2008)
Variance Risk Premium DemystifiedS&P Global Market Intelligence Research Paper Series
(1999)
Conditionally Fat-Tailed Distributions and the Volatility Smile in Options.
Peter Christoffersen, Redouane Elkamhi, Bruno Feunou, Kris Jacobs (2009)
Série Scientifique Scientific Series 2009 s-32 Option Valuation with Conditional Heteroskedasticity and Non-Normality
J. Duan (1995)
THE GARCH OPTION PRICING MODELMathematical Finance, 5
P. Ritchken, R. Trevor (1999)
Pricing Options under Generalized GARCH and Stochastic Volatility ProcessesJournal of Finance, 54
Gary Lee, R. Engle (1993)
A Permanent and Transitory Component Model of Stock Return Volatility
K. Demeterfi, E. Derman, Michael Kamal, Joseph Zou (1999)
A Guide to Volatility and Variance Swaps, 6
L. Glosten, R. Jagannathan, D. Runkle (1993)
On the Relation between the Expected Value and the Volatility of the Nominal Excess Return on StocksJournal of Finance, 48
T. Siu, H. Tong, Hailiang Yang (2004)
On Pricing Derivatives Under GARCH Models: A Dynamic Gerber-Shiu ApproachNorth American Actuarial Journal, 8
Jin Zhang, Huimin Zhao, E. Chang (2012)
EQUILIBRIUM ASSET AND OPTION PRICING UNDER JUMP DIFFUSIONMathematical Finance, 22
Jun Pan (2002)
The jump-risk premia implicit in options: evidence from an integrated time-series study $Journal of Financial Economics, 63
Peter Christoffersen, Kris Jacobs, Chayawat Ornthanalai, Yintian Wang (2008)
Option Valuation with Long-Run and Short-Run Volatility ComponentsDerivatives
T. Andersen, T. Bollerslev, F. Diebold, Paul Labys (2001)
Modeling and Forecasting Realized VolatilityCapital Markets: Asset Pricing & Valuation eJournal
René Garcia, Eric Ghysels, Eric Cirano
Série Scientifique Scientific Series the Econometrics of Option Pricing the Econometrics of Option Pricing
Nour Meddahi, Éric Renault
Série Scientifique Scientific Series Temporal Aggregation of Volatility Models
René Garcia, É. Renault (1998)
A Note on Hedging in ARCH and Stochastic Volatility Option Pricing ModelsMathematical Finance, 8
Daniel Nelson (1991)
CONDITIONAL HETEROSKEDASTICITY IN ASSET RETURNS: A NEW APPROACHEconometrica, 59
V. Todorov (2010)
Variance Risk-Premium Dynamics: The Role of JumpsReview of Financial Studies, 23
Peter Christoffersen, Kris Jacobs, S. Heston (2011)
Capturing Option Anomalies with a Variance-Dependent Pricing Kernel*deleted
James Wiggins (1987)
Option values under stochastic volatility: Theory and empirical estimatesJournal of Financial Economics, 19
J. Kanniainen, Binghuan Lin, Hanxue Yang (2014)
Estimating and Using GARCH Models with VIX Data for Option ValuationBanking & Insurance eJournal
C. Jones (2003)
The dynamics of stochastic volatility: evidence from underlying and options marketsJournal of Econometrics, 116
Nikunj Kapadia, G. Bakshi (2001)
Delta-Hedged Gains and the Negative Market Volatility Risk PremiumRobert H. Smith: Finance (Topic)
Tyler Shumway, Joshua Coval (2000)
Expected Option ReturnsThe Stephen M. Ross School of Business at the University of Michigan Research Paper Series
T. Bollerslev (1986)
Generalized autoregressive conditional heteroskedasticityJournal of Econometrics, 31
J. Kallsen, M. Taqqu (1998)
Option Pricing in ARCH‐type ModelsMathematical Finance, 8
J. Hull, Alan White (1987)
The Pricing of Options on Assets with Stochastic VolatilitiesJournal of Finance, 42
P. Carr, Liuren Wu (2009)
Variance Risk PremiumsReview of Financial Studies, 22
Louis Scott (1987)
Option Pricing when the Variance Changes Randomly: Theory, Estimation, and an ApplicationJournal of Financial and Quantitative Analysis, 22
(1993)
Measuring and Testing the Impact of News on Volatility
In this article, we derive the corresponding implied VIX formulas under the locally risk-neutral valuation relationship (LRNVR) proposed by Duan (1995) when a class of square-root stochastic autoregressive volatility (SR-SARV) models are proposed for S&P 500 index. The empirical study shows that the GARCH implied VIX is consistently and significantly lower than the CBOE VIX for all kinds of GARCH model investigated when they are estimated with returns only. When jointly estimated with both returns and VIX, the parameters are distorted unreasonably, and the GARCH implied VIX still cannot fit the CBOE VIX from various statistical aspects. The source of this discrepancy is then theoretically analyzed. We conclude that the GARCH option pricing under the LRNVR fails to incorporate the price of volatility or variance risk premium.
Journal of Financial Econometrics – Oxford University Press
Published: Jun 20, 2013
Keywords: JEL Codes G13 C52
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.