Publication:
Leverage and Feedback Eects on Multifactor Wishart Stochastic Volatility for Option Pricing

Loading...
Thumbnail Image
Official URL
Full text at PDC
Publication Date
2013-01
Advisors (or tutors)
Editors
Journal Title
Journal ISSN
Volume Title
Publisher
Citations
Google Scholar
Research Projects
Organizational Units
Journal Issue
Abstract
The paper proposes a general asymmetric multifactor Wishart stochastic volatility (AMWSV) diusion process which accommodates leverage, feedback eects and multifactor for the covariance process. The paper gives the closed-form solution for the conditional and unconditional Laplace transform of the AMWSV models. The paper also suggests estimating the AMWSV model by the generalized method of moments using information not only of stock prices but also of realized volatilities and covolatilities. The empirical results for the bivariate data of the NASDAQ 100 and S&P 500 indices show that the general AMWSV model is preferred among several nested models.
Description
The authors are most grateful to Yoshi Baba and Christian Hafner for very helpful comments and suggestions. The rst author acknowledges the nancial support of the Japan Ministry of Education, Culture, Sports, Science and Technology, Japan Society for the Promotion of Science, and Australian Academy of Science. The second author is most grateful for the nancial support of the Australian Research Council, National Science Council, Taiwan, and the Japan Society for the Promotion of Science. Address for correspondence: Faculty of Economics, Soka University, 1-236 Tangi-cho, Hachioji, Tokyo 192-8577, Japan.
Unesco subjects
Keywords
Citation
Aielli, G.P. (2006), "Consistent Estimation of Large Scale Dynamic Conditional Correlations", Working Paper, Department of Statistics, University of Florence. Asai, M., M. McAleer, and M.C. Medeiros (2012a), "Asymmetry and Long Memory in Volatility Modeling", Journal of financial Econometrics, 10, 495-512. Asai, M., M. McAleer, and M.C. Medeiros (2012b), "Estimation and Forecasting with Noisy Realized Volatility", Computational Statistics & Data Analysis, 56, 217-230. Asai, M., M. McAleer and J. Yu (2006), "Multivariate Stochastic Volatility: A Review", Econometric Reviews, 25, 145-175. Barndorff -Nielsen, O.E., P.R. Hansen, A. Lunde, and N. Shephard (2011), "Multivariate Realised Kernels: Consistent Positive Semi-De finite Estimators of the Covariation of Equity Prices with Noise and Non-Synchronous Trading", Journal of Econometrics, 162, 149-169. Barndorff -Nielsen, O.E., and N. Shephard (2002), "Econometric Analysis of Realized Volatility and Its Use in Estimating Stochastic Volatility Models", Journal of the Royal Statistical Society, Series B, 64, 253-280. Bauwens, L., S. Laurent, and J.V.K. Rombouts (2006), "Multivariate GARCH: A Survey", Journal of Applied Econometrics, 21, 79-109. Bellman, R. (1970), Introduction to Matrix Analysis, New York: McGraw-Hill. Bollerslev, T., and H. Zhou (2002), "Estimating Stochastic Volatility Di ffusion Using Conditional Moments of Integrated Volatility", Journal of Econometrics, 109, 33-65. Bru, M.-F. (1991), "Wishart Processes", Journal of Theoretical Probability, 4, 725-751. Carr, P. and D.B. Madan (1999), "Option Valuation Using the Fast Fourier Transform", Journal of Computational Finance, 2, 61-73. Chernov, M., A.R. Gallant, E. Ghysels, and G. Tauchen (2003), "Alternative Models for Stock Price Dynamics", Journal of Econometrics, 116, 225-257. Chib, S., Y. Omori and M. Asai (2009), "Multivariate Stochastic Volatility", in T.G. Andersen, R.A. Davis, J.-P. Kreiss and T. Mikosch (eds.), Handbook of Financial Time Series, Springer-Verlag, New York, 365-400. Chiu, T. Y. M., T. Leonard, K.-W. Tsui (1996), "The Matrix-Logarithmic Covariance Model", Journal of the American Statistical Association, 91, 198-210. Drost, F.C. and B.J.M. Werker (1996), "Closing the GARCH GAP: Continuous Time GARCH Modeling", Journal of econometrics, 74, 31-57. Duan, J.-C. (1997), "The GARCH Option Pricing Model", Mathematical Finance, 5, 13-32. Du ffie, D., J. Pan, and K. Singleton (2000), "Transform Analysis and Asset Pricing for Affi ne Jump Diff usions", Econometrica, 68, 1343-1376. Eberlein, E., K. Glau, and A. Papapantoleon (2010), "Analysis of Fourier Transform Valuation Formulas and Applications", Applied Mathematical Finance, 17, 211-240. Engle, R.F. (2002), "Dynamic Conditional Correlation: A Simple Class of Multivariate Generalized Autoregressive Conditional Heteroskedasticity Models", Journal of Business & Economic Statistics, 20, 339-350. Fonseca, J., M. Grasselli, and C. Tebaldi (2008), "A Multifactor Volatility Heston Model", Quantitative Finance, 8, 591-604. Fornari, A. and A. Mele (1997), "Sign and Volatility Switching ARCH Models", Journal of Applied Econometrics, 12, 49-65. Gourieroux, C. (2006), "Continuous Time Wishart Process for Stochastic Risk", Econometric Reviews, 25, 177-217. Gourieroux, C., J. Jasiak, and R. Sufana (2009), "The Wishart Autoregressive Process of Multivariate Stochastic Volatility", Journal of Econometrics, 150, 167-181. Gourieroux, C. and R. Sufana (2010), "Derivative Pricing with Wishart Multivariate Stochastic Volatility", Journal of Business & Economic Statistics, 28, 438-451. Hayashi, T. and N. Yoshida (2005), "On Covariance Estimation of Nonsynchronously Observed Diff usion Processes," Bernoulli, 11, 359-379. Hafner,C., S. Laurent, and Violante (2010), "The Di ffusion Limit of Dynamic Conditional Correlation Models", Working Paper, Universit e Catholique de Louvain. Heston, S.L. (1993), "A Closed-Form Solution for Options with Stochastic Volatility", Review of Financial Studies, 6, 327-343. Hull, J. and A. White (1987), "The Pricing of Options on Assets with Stochastic Volatility", Journal of Finance, 42, 281-300. Malliavin, P. and M.E. Mancino (2009), "A Fourier Transform Method for Nonparametric Estimation of Multivariate Volatility", Annals of Statistics, 37, 1983-2010. Melino, A. and S.M. Turnbull (1990), "Pricing foreign currency options with stochastic volatility", Journal of Econometrics, 45, 239-265. Muhle-Karbe, J., O. Pfaff el, and R. Stelzer (2012), "Option Pricing in Multivariate Stochastic Volatility Models of OU Type", SIAM Journal on Financial Mathematics, 3, 66-94. Nelson, D.B. (1990), "ARCH Models as Diff usion Approximations", Journal of Econometrics, 45, 7-38. Nelson, D.B. (1996), "Asymptotic Filtering Theory for Multivariate ARCH Models", Journal of Econometrics, 71, 1-47. Nelson, D.B. and D.P. Foster (1994), "Asymptotic Filtering Theory for Univariate ARCH Models", Econometrica, 62, 1-41. Newey, W.K., and K.D. West (1987), "A Simple Positive Semi-De nite, Heteroskedasticity and Autocorrelation Consistent Covariance Matrix", Econometrica 55, 703-708. Scott, L.O. (1987), "Option Pricing when the Variance Changes Randomly: Theory, Estimation and an Application", Journal of Financial and Quantitative Analysis, 22, 419-438. Shephard, N. (2005), Stochastic Volatility: Selected Readings, Oxford: Oxford University Press. Shoji, I., and T. Ozaki (1998), "A Statistical Method of Estimation and Simulation for Systems of Stochastic Di fferential Equations", Biometrika, 85, 240-243. Tao, M., Y. Wang, Q. Yao, and J. Zou (2011), "Large Volatility Matrix Inference via Combining Low-Frequency and High-Frequency Approaches", Journal of the American Statistical Association, 106, 1025-1040. Voev, V. and A. Lunde (2007), "Integrated Covariance Estimation Using High Frequency Data in the Presence of Noise", Journal of Financial Econometrics, 5, 68-104. Wang, Y., and J. Zou (2010), "Vast Volatility Matrix Estimation for High-Frequency Financial Data", Annals of Statistics, 38, 943-978. Zhang, L. (2008), "Estimating Covariation: Epps Eff ect, Microstructure Noise", Journal of Econometrics, 160, 33-47.