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Volumn 55, Issue 1, 2011, Pages 248-260

The hierarchical-likelihood approach to autoregressive stochastic volatility models

Author keywords

Autoregressive stochastic volatility model; Hierarchical generalized linear model; Hierarchical likelihood; Prediction; Sparse matrix computation

Indexed keywords

ECONOMIC ANALYSIS; FORECASTING; INVERSE PROBLEMS; MATRIX ALGEBRA; MAXIMUM LIKELIHOOD; NUMERICAL METHODS; RANDOM PROCESSES; STOCHASTIC SYSTEMS;

EID: 77958055053     PISSN: 01679473     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.csda.2010.04.014     Document Type: Article
Times cited : (7)

References (31)
  • 1
    • 85015692260 scopus 로고
    • The pricing of options and corporate liabilities
    • Black, F., Scholes, M., 1973. The pricing of options and corporate liabilities. Journal of Political Economy 81, 637-659.
    • (1973) Journal of Political Economy , vol.81 , pp. 637-659
    • Black, F.1    Scholes, M.2
  • 2
    • 57449114138 scopus 로고    scopus 로고
    • GLM-methods for volatility models
    • Castillo, J., Lee, Y., 2008. GLM-methods for volatility models. Statistical Modelling 8, 263-283.
    • (2008) Statistical Modelling , vol.8 , pp. 263-283
    • Castillo, J.1    Lee, Y.2
  • 3
    • 0034354798 scopus 로고    scopus 로고
    • Time series analysis of non-Gaussian observations based on state space models from both classical and Bayesian perspectives (with discussion)
    • Durbin, J., Koopman, S.J., 2000. Time series analysis of non-Gaussian observations based on state space models from both classical and Bayesian perspectives (with discussion). Journal of Royal Statistical Society Series B 62, 3-56.
    • (2000) Journal of Royal Statistical Society Series B , vol.62 , pp. 3-56
    • Durbin, J.1    Koopman, S.J.2
  • 4
    • 0032347339 scopus 로고    scopus 로고
    • A maximum likelihood approach for the non-Gaussian stochastic volatility models
    • Fridman, M., Harris, L., 1998. A maximum likelihood approach for the non-Gaussian stochastic volatility models. Journal of Business and Economic Statistics 16, 284-291.
    • (1998) Journal of Business and Economic Statistics , vol.16 , pp. 284-291
    • Fridman, M.1    Harris, L.2
  • 5
    • 0004236492 scopus 로고    scopus 로고
    • third edition The Johns Hopkins University Press, London
    • Golub, G., Loan, C.V., 1996. Matrix computation, third edition. The Johns Hopkins University Press, London.
    • (1996) Matrix Computation
    • Golub, G.1    Loan, C.V.2
  • 7
    • 0030490795 scopus 로고    scopus 로고
    • Estimation of an asymmetric stochastic volatility model for asset returns
    • Harvey, A., Shephard, N., 1996. Estimation of an asymmetric stochastic volatility model for asset returns. Journal of Business & Economic Statistics 96, 429-434.
    • (1996) Journal of Business & Economic Statistics , vol.96 , pp. 429-434
    • Harvey, A.1    Shephard, N.2
  • 8
    • 0037836721 scopus 로고
    • A closed-form solution for options with stochastic volatility with applications to bond and currency options
    • Heston, S., 1993. A closed-form solution for options with stochastic volatility with applications to bond and currency options. The Review of Financial Studies 6, 327-343.
    • (1993) The Review of Financial Studies , vol.6 , pp. 327-343
    • Heston, S.1
  • 9
    • 84977709229 scopus 로고
    • The pricing of options on assets with stochastic volatilities
    • Hull, J., White, A., 1987. The pricing of options on assets with stochastic volatilities. The Journal of Finance 42, 281-300.
    • (1987) The Journal of Finance , vol.42 , pp. 281-300
    • Hull, J.1    White, A.2
  • 12
    • 0001251517 scopus 로고    scopus 로고
    • Stochastic volatility: Likelihood inference and comparison with ARCH models
    • Kim, S., Shephard, N., Chib, S., 1998. Stochastic volatility: likelihood inference and comparison with ARCH models. Review of Economic Studies 65, 361-393.
    • (1998) Review of Economic Studies , vol.65 , pp. 361-393
    • Kim, S.1    Shephard, N.2    Chib, S.3
  • 15
    • 14544302160 scopus 로고    scopus 로고
    • Conditional and marginal models: Another view (with discussion)
    • Lee, Y., Nelder, J.A., 2004. Conditional and marginal models: another view (with discussion). Statistical Science 19, 219-238.
    • (2004) Statistical Science , vol.19 , pp. 219-238
    • Lee, Y.1    Nelder, J.A.2
  • 16
    • 33644629431 scopus 로고    scopus 로고
    • Double Hierarchical generalized linear models (with discussion)
    • Lee, Y., Nelder, J.A., 2006. Double Hierarchical generalized linear models (with discussion). Applied Statistics 55, 139-185.
    • (2006) Applied Statistics , vol.55 , pp. 139-185
    • Lee, Y.1    Nelder, J.A.2
  • 18
    • 0038521361 scopus 로고    scopus 로고
    • Univariate and multivariate stochastic volatility models: Estimation and diagnostics
    • Liesenfeld, R., Richard, J.F., 2003. Univariate and multivariate stochastic volatility models: estimation and diagnostics. Journal of Empirical Finance 10, 505-531.
    • (2003) Journal of Empirical Finance , vol.10 , pp. 505-531
    • Liesenfeld, R.1    Richard, J.F.2
  • 19
    • 24044445638 scopus 로고    scopus 로고
    • Stochastic volatility: Bayesian computation using automatic differentiation and extended Kalman filter
    • Meyer, R., Fournier, D., Berg, A., 2003. Stochastic volatility: Bayesian computation using automatic differentiation and extended Kalman filter. Econometrics Journal 6, 408-420.
    • (2003) Econometrics Journal , vol.6 , pp. 408-420
    • Meyer, R.1    Fournier, D.2    Berg, A.3
  • 20
    • 0000518006 scopus 로고    scopus 로고
    • BUGS for a Bayesian analysis of stochastic volatility models
    • Meyer, R., Yu, J., 2000. BUGS for a Bayesian analysis of stochastic volatility models. Econometrics Journal 3, 198-215.
    • (2000) Econometrics Journal , vol.3 , pp. 198-215
    • Meyer, R.1    Yu, J.2
  • 22
    • 43949151038 scopus 로고
    • Quasi-maximum likelihood estimation of stochastic volatility models
    • Ruiz, E., 1994. Quasi-maximum likelihood estimation of stochastic volatility models. Journal of Econometrics 63, 284-306.
    • (1994) Journal of Econometrics , vol.63 , pp. 284-306
    • Ruiz, E.1
  • 23
    • 0000254890 scopus 로고    scopus 로고
    • Estimation of stochastic volatility models via Monte Carlo maximum likelihood
    • Sandmann, G., Koopman, S., 1998. Estimation of stochastic volatility models via Monte Carlo maximum likelihood. Journal of Econometrics 87, 271-301.
    • (1998) Journal of Econometrics , vol.87 , pp. 271-301
    • Sandmann, G.1    Koopman, S.2
  • 24
    • 24944554085 scopus 로고
    • Option pricing when the variance changes randomly: Theory, estimation, and an application
    • Scott, L., 1987. Option pricing when the variance changes randomly: theory, estimation, and an application. The Journal of Financial and Quantitative Analysis 22, 419-438.
    • (1987) The Journal of Financial and Quantitative Analysis , vol.22 , pp. 419-438
    • Scott, L.1
  • 25
    • 33747839964 scopus 로고    scopus 로고
    • Automatic approximation of the marginal likelihood in non-Gaussian hierarchical models
    • Skaug, H.J., Fournier, D.A., 2006. Automatic approximation of the marginal likelihood in non-Gaussian hierarchical models. Computational Statistics & Data Analysis 51, 699-709.
    • (2006) Computational Statistics & Data Analysis , vol.51 , pp. 699-709
    • Skaug, H.J.1    Fournier, D.A.2
  • 26
    • 0001284767 scopus 로고
    • Stock price distributions with stochastic volatility: An analytic approach
    • Stein, E., Stein, J., 1991. Stock price distributions with stochastic volatility: an analytic approach. The Review of Financial Studies 4, 727-752.
    • (1991) The Review of Financial Studies , vol.4 , pp. 727-752
    • Stein, E.1    Stein, J.2
  • 27
    • 20644458318 scopus 로고    scopus 로고
    • Estimation of stochastic volatility models: An approximation to the nonlinear state space representation
    • Shimada, J., Tsukuda, Y., 2005. Estimation of stochastic volatility models: an approximation to the nonlinear state space representation. Communications in Statistical Simulation and Computation 34, 429-450.
    • (2005) Communications in Statistical Simulation and Computation , vol.34 , pp. 429-450
    • Shimada, J.1    Tsukuda, Y.2
  • 31
    • 45949112947 scopus 로고
    • Option values under stochastic volatility: Theory and empirical estimates
    • Wiggins, J., 1987. Option values under stochastic volatility: theory and empirical estimates. Journal of Financial Economics 19, 351-372.
    • (1987) Journal of Financial Economics , vol.19 , pp. 351-372
    • Wiggins, J.1


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