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References (78)
-
(2001)
The Market for Crash Risk. -
T. Andersen, Luca Benzoni, Jesper Lund (2001)
An Empirical Investigation of Continuous-Time Equity Return ModelsNBER Working Paper Series
-
A. Feuerverger, P. McDunnough (1981)
On Some Fourier Methods for InferenceJournal of the American Statistical Association, 76
-
Moshe Fridman, L. Harris (1998)
A maximum likelihood approach for non-Gaussian stochastic volatility modelsJournal of Business & Economic Statistics, 16
-
David Bates, R. Craine (1998)
Valuing the Futures Market Clearinghouse&Apos;S Default Exposure During the 1987 CrashNBER Working Paper Series
-
E. Yanik (1994)
Numerical Recipes in FORTRAN - The Art of Scientific Computing 2nd Ed. (W. H. Press, W. T. Vetterling, S. A. Teukolsky and B. P. Flannery)SIAM Rev., 36
-
A. Harvey, E. Ruiz, N. Shephard (1994)
Multivariate stochastic variance models -
Jeff Fleming, Chris Kirby (2003)
A Closer Look at the Relation between GARCH and Stochastic Autoregressive VolatilityRisk Management
-
S. Alizadeh, Michael Brandt, F. Diebold (2001)
Range-Based Estimation of Stochastic Volatility ModelsEconometrics: Single Equation Models eJournal
-
G. Barone-Adesi, R. Whaley (1987)
Efficient Analytic Approximation of American Option ValuesJournal of Finance, 42
-
Garland Durham, Ronald Gallant (2002)
Numerical Techniques for Maximum Likelihood Estimation of Continuous-Time Diffusion ProcessesJournal of Business & Economic Statistics, 20
-
Jun Liu, Tan Wang, Jun Pan (2002)
An Equilibrium Model of Rare Event PremiaChina Academy of Financial Research (CAFR) Research Paper Series
-
P. McCullagh (1994)
Does the Moment-Generating Function Characterize a Distribution?The American Statistician, 48
-
Bjørn Eraker, M. Johannes, Nicholas Polson (2001)
Evidence for and the Impact of Jumps in Volatility and Returns -
R. Bliss, Nikolaos Panigirtzoglou (2004)
Option-Implied Risk Aversion EstimatesJournal of Finance, 59
-
Daniel Nelson, Dean Foster (1994)
Asypmtotic Filtering Theory for Univariate Arch Models -
David Bates (1991)
The Crash of ʼ87: Was It Expected? The Evidence from Options MarketsJournal of Finance, 46
-
Avg bias -
A. Feuerverger (1990)
An efficiency result for the empirical characteristic function in stationary time-series modelsCanadian Journal of Statistics-revue Canadienne De Statistique, 18
-
D. McFadden (1989)
A Method of Simulated Moments for Estimation of Discrete Response Models Without Numerical IntegrationEconometrica, 57
-
Angelo Melino, S. Turnbull (1990)
Pricing foreign currency options with stochastic volatilityJournal of Econometrics, 45
-
W. Press, S. Teukolsky, W. Vetterling, B. Flannery (1992)
Numerical recipes in FORTRAN (2nd ed.): the art of scientific computing -
David Bates (1993)
Jumps and Stochastic Volatility: Exchange Rate Processes Implicit in Thephlx Deutschemark OptionsNBER Working Paper Series
-
K. Singleton (2001)
Estimation of affine asset pricing models using the empirical characteristic functionJournal of Econometrics, 102
-
Yacine Ait-Sahalia (2002)
Closed-Form Likelihood Expansions for Multivariate DiffusionsEconometrics eJournal
-
O. Barndorff-Nielsen, D. Cox (1989)
Asymptotic techniques for use in statistics -
Alan Lewis (2001)
A Simple Option Formula for General Jump-Diffusion and Other Exponential Levy ProcessesJournal of Financial Abstracts eJournal
-
T. Andersen, H. Chung, Bent Sørensen (1999)
Efficient method of moments estimation of a stochastic volatility model: A Monte Carlo studyJournal of Econometrics, 91
-
Eric Jacquier, Nicholas Polson, Peter Rossi (1994)
Bayesian Analysis of Stochastic Volatility ModelsJournal of Business & Economic Statistics, 20
-
Jun Pan (2002)
The jump-risk premia implicit in options: evidence from an integrated time-series study $Journal of Financial Economics, 63
-
P. Carr, D. Madan (1999)
Option valuation using the fast Fourier transformJournal of Computational Finance, 2
-
Ludger Hentschel (1995)
All in the family Nesting symmetric and asymmetric GARCH modelsJournal of Financial Economics, 39
-
A. Gallant, George Tauchen (2002)
Simulated Score Methods and Indirect Inference for Continuous-time Models -
P. Honoré (1998)
Pitfalls in Estimating Jump-Diffusion ModelsDerivatives
-
Daniel Nelson (1996)
6 – Filtering and Forecasting With Misspecified Arch Models I: Getting The Right Variance With The Wrong Model* -
Mikhail Chernov, A. Gallant, Eric Ghysels, George Tauchen (2003)
Alternative models for stock price dynamicsJournal of Econometrics, 116
-
D. Madan, G. Bakshi (2000)
Spanning and Derivative-Security ValuationRobert H. Smith School of Business Research Paper Series
-
R. Stambaugh (1999)
Predictive RegressionsEconometrics eJournal
-
K. Pearson (1933)
ON A METHOD OF DETERMINING WHETHER A SAMPLE OF SIZE n SUPPOSED TO HAVE BEEN DRAWN FROM A PARENT POPULATION HAVING A KNOWN PROBABILITY INTEGRAL HAS PROBABLY BEEN DRAWN AT RANDOMBiometrika, 25
-
(2003)
EMM-based estimates on daily -
Linda Anderson-Courtney (1994)
Journal of econometrics : Subject and author index: volumes 51–60, 1992–1994Journal of Econometrics, 62
-
E. Ruiz (1994)
Quasi-maximum likelihood estimation of stochastic volatility modelsJournal of Econometrics, 63
-
J. Rosenberg, R. Engle (1999)
Empirical Pricing KernelsNew York University Stern School of Business Research Paper Series
-
Jing-Zhi Huang, Liuren Wu (2003)
Specification Analysis of Option Pricing Models Based on Time-Changed Levy ProcessesEFA 2003 Glasgow Meetings Presentation Papers (Archive)
-
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
-
George Chacko, Luis Viceira (1999)
Spectral GMM Estimation of Continuous-Time ProcessesEconometrics eJournal
-
Mukarram Attari (2004)
Option Pricing Using Fourier Transforms: A Numerically Efficient SimplificationDerivatives
-
Daniel Nelson, Dean Foster (1992)
Filtering and Forecasting with Misspecified Arch Models Ii: Making the Right Forecast with the Wrong ModelMicroeconomic Theory eJournal
-
M. Johannes, Jonathan Stroud, Nicholas Polson (2002)
Nonlinear Filtering of Stochastic Differential Equations with JumpsEconometrics eJournal
-
A. Lo (1986)
Maximum Likelihood Estimation of Generalized Itô Processes with Discretely Sampled DataEconometric Theory, 4
-
T. Andersen, Bent Sørensen (1996)
GMM Estimation of a Stochastic Volatility Model: A Monte Carlo StudyJournal of Business & Economic Statistics, 14
-
Jun Pan (2001)
The Jump-Risk Premia Implicit in Options : Evidence from an Integrated Time-Series Study -
J. Nankervis, N. Savin (1988)
The exact moments of the least-squares estimator for the autoregressive model. Corrections and extensionsJournal of Econometrics, 37
-
J. Kolassa (1994)
Series Approximation Methods in Statistics -
(1953)
CGGT) have an additional latent variable for the conditional mean. Data: ABL and Bates: Daily S&P 500 returns -
Ronald Gallant, George Tauchen (1998)
Reprojecting Partially Observed Systems with Application to Interest Rate DiffusionsJournal of the American Statistical Association, 93
-
T. Andersen, Tim Bollerslev, F. Diebold, Heiko Ebens (2001)
The distribution of realized stock return volatilityJournal of Financial Economics, 61
-
(2002)
Sharpening Sharpe Ratios -
G. Sandmann, S. Koopman (1998)
Estimation of stochastic volatility models via Monte Carlo maximum likelihoodJournal of Econometrics, 87
-
M. Carrasco, Mikhail Chernov, J. Florens, Eric Ghysels (2002)
Série Scientifique Scientific Series 2003 s-02 Efficient Estimation of Jump Diffusions and General Dynamic Models with a Continuum of Moment Conditions -
(2000)
Transform Analysis and Asset Pricing for Affine Jump-Diffusions -
M. Ho, W. Perraudin, Bent Sørensen (1996)
A Continuous-Time Arbitrage-Pricing Model With Stochastic Volatility and JumpsJournal of Business & Economic Statistics, 14
-
J. Beran (2003)
Time series analysis -
Sangjoon Kim, N. Shephard, S. Chib (1996)
Stochastic Volatility: Likelihood Inference And Comparison With Arch ModelsEconometrics
-
G. Jiang, J. Knight (2002)
Estimation of Continuous-Time Processes via the Empirical Characteristic FunctionJournal of Business & Economic Statistics, 20
-
P. Carr, H. Geman, D. Madan, M. Yor (2001)
Stochastic Volatility for Levy ProcessesEuropean Finance Association Meetings (EFA) (Archive)
-
David Bates (2000)
Post-'87 crash fears in the S&P 500 futures option marketJournal of Econometrics, 94
-
M. Bartlett (1938)
The Characteristic Function of a Conditional StatisticJournal of The London Mathematical Society-second Series
-
S. Karlin, H. Taylor (1981)
A second course in stochastic processes -
A. Feuerverger, P. McDunnough (1981)
On the Efficiency of Empirical Characteristic Function ProceduresJournal of the royal statistical society series b-methodological, 43
-
D. Duffie, K. Singleton (1990)
Simulated Moments Estimation of Markov Models of Asset PricesNBER Working Paper Series
-
M. Johannes, Bjørn Eraker, Nicholas Polson (2000)
The Impact of Jumps in Volatility and ReturnsChicago Booth RPS: Econometrics & Statistics (Topic)
-
R. Cumby, J. Glen (1990)
Evaluating the Performance of International Mutual FundsJournal of Finance, 45
-
K. Judd (1998)
Numerical methods in economics -
Jun Liu, Jun Pan, Tan Wang (2005)
An Equilibrium Model of Rare-Event Premia and Its Implication for Option SmirksReview of Financial Studies, 18
-
W. Press, B. Flannery, S. Teukolsky, W. Vetterling (1986)
Numerical Recipes in C: The Art of Sci-entific Computing -
Narasimhan Jegadeesh, George Pennacchi (1996)
The Behavior of Interest Rates Implied by the Term Structure of Eurodollar FuturesJournal of Money, Credit and Banking, 28
- Publisher
- Oxford University Press
- Copyright
- © The Author 2006. Published by Oxford University Press on behalf of The Society for Financial Studies. All rights reserved. For permissions, please email: [email protected].
- ISSN
- 0893-9454
- eISSN
- 1465-7368
- DOI
- 10.1093/rfs/hhj022
- Publisher site
- See Article on Publisher Site
Abstract
This article develops a direct filtration-based maximum likelihood methodology for estimating the parameters and realizations of latent affine processes. Filtration is conducted in the transform space of characteristic functions, using a version of Bayes’ rule for recursively updating the joint characteristic function of latent variables and the data conditional upon past data. An application to daily stock market returns over 1953–1996 reveals substantial divergences from estimates based on the Efficient Methods of Moments (EMM) methodology; in particular, more substantial and time-varying jump risk. The implications for pricing stock index options are examined.
Journal
The Review of Financial Studies – Oxford University Press
Published: Feb 17, 2006