A Non-linear Filtering Approach to Stochastic Volatility Models with an Application to Daily Stock Returns
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- Junji Shimada & Yoshihiko Tsukuda, 2004. "Estimation of Stochastic Volatility Models : An Approximation to the Nonlinear State Space," Econometric Society 2004 Far Eastern Meetings 611, Econometric Society.
- Xi, Yanhui & Peng, Hui & Qin, Yemei & Xie, Wenbiao & Chen, Xiaohong, 2015. "Bayesian analysis of heavy-tailed market microstructure model and its application in stock markets," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 117(C), pages 141-153.
- Jinghui Chen & Masahito Kobayashi & Michael McAleer, 2017.
"Testing for volatility co-movement in bivariate stochastic volatility models,"
Documentos de Trabajo del ICAE
2017-10, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
- Chen, J. & Kobayashi, M. & McAleer, M.J., 2017. "Testing for Volatility Co-movement in Bivariate Stochastic Volatility Models," Econometric Institute Research Papers TI 2017-022/III, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
- Jinghui Chen & Masahito Kobayashi & Michael McAleer, 2017. "Testing for Volatility Co-movement in Bivariate Stochastic Volatility Models," Tinbergen Institute Discussion Papers 17-022/III, Tinbergen Institute.
- Kobayashi, Masahito, 2009. "Testing for jumps in the stochastic volatility models," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(8), pages 2597-2608.
- Chen, J. & Kobayashi, M. & McAleer, M.J., 2016.
"Testing for a Common Volatility Process and Information Spillovers in Bivariate Financial Time Series Models,"
Econometric Institute Research Papers
EI2016-16, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
- Jinghui Chen & Masahito Kobayashi & Michael McAleer, 2016. "Testing for a Common Volatility Process and Information Spillovers in Bivariate Financial Time Series Models," Documentos de Trabajo del ICAE 2016-04, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
- Jinghui Chen & Masahito Kobayashi & Michael McAleer, 2016. "Testing for a Common Volatility Process and Information Spillovers in Bivariate Financial Time Series Models," Tinbergen Institute Discussion Papers 16-015/III, Tinbergen Institute.
- Miroslav Šimandl & Tomáš Soukup, 2002. "Simulation Monte Carlo methods in extended stochastic volatility models," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 11(2), pages 109-117, April.
- Yi-Hsien Wang, 2009. "Using neural network to forecast stock index option price: a new hybrid GARCH approach," Quality & Quantity: International Journal of Methodology, Springer, vol. 43(5), pages 833-843, September.
- Siem Jan Koopman & Eugenie Hol Uspensky, 2002.
"The stochastic volatility in mean model: empirical evidence from international stock markets,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 17(6), pages 667-689.
- Siem Jan Koopman & Eugenie Hol Uspensky, 2002. "The stochastic volatility in mean model: empirical evidence from international stock markets," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 17(6), pages 667-689, December.
- Panayotis G. Michaelides & Efthymios G. Tsionas & Angelos T. Vouldis & Konstantinos N. Konstantakis & Panagiotis Patrinos, 2018. "A Semi-Parametric Non-linear Neural Network Filter: Theory and Empirical Evidence," Computational Economics, Springer;Society for Computational Economics, vol. 51(3), pages 637-675, March.
- Asai, Manabu, 2009. "Bayesian analysis of stochastic volatility models with mixture-of-normal distributions," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(8), pages 2579-2596.
- Scott I. White & Adam E. Clements & Stan Hurn, 2004. "Discretised Non-Linear Filtering for Dynamic Latent Variable Models: with Application to Stochastic Volatility," Econometric Society 2004 Australasian Meetings 46, Econometric Society.
- Takada, Teruko, 2009. "Simulated minimum Hellinger distance estimation of stochastic volatility models," Computational Statistics & Data Analysis, Elsevier, vol. 53(6), pages 2390-2403, April.
- Amir Atiya & Steve Wall, 2009. "An analytic approximation of the likelihood function for the Heston model volatility estimation problem," Quantitative Finance, Taylor & Francis Journals, vol. 9(3), pages 289-296.
- Carmen Broto & Esther Ruiz, 2004.
"Estimation methods for stochastic volatility models: a survey,"
Journal of Economic Surveys, Wiley Blackwell, vol. 18(5), pages 613-649, December.
- Broto, Carmen, 2002. "Estimation methods for stochastic volatility models: a survey," DES - Working Papers. Statistics and Econometrics. WS ws025414, Universidad Carlos III de Madrid. Departamento de EstadÃstica.
- Adam Clements & Stan Hurn & Scott White, 2006. "Estimating Stochastic Volatility Models Using a Discrete Non-linear Filter. Working paper #3," NCER Working Paper Series 3, National Centre for Econometric Research.
- Adam Clements & Scott White, 2005. "Non-linear filtering with state dependant transition probabilities: A threshold (size effect) SV model," School of Economics and Finance Discussion Papers and Working Papers Series 191, School of Economics and Finance, Queensland University of Technology.
- M. Hakan Eratalay, 2016.
"Estimation of Multivariate Stochastic Volatility Models: A Comparative Monte Carlo Study,"
International Econometric Review (IER),
Econometric Research Association, vol. 8(2), pages 19-52, September.
- Mustafa Hakan Eratalay, 2012. "Estimation of Multivariate Stochastic Volatility Models: A Comparative Monte Carlo Study," EUSP Department of Economics Working Paper Series Ec-04/12, European University at St. Petersburg, Department of Economics.
- M. Hakan Eratalay, 2016.
"Estimation of Multivariate Stochastic Volatility Models: A Comparative Monte Carlo Study,"
International Econometric Review (IER), Econometric Research Association, vol. 8(2), pages 19-52, September.
- Mustafa Hakan Eratalay, 2012. "Estimation of Multivariate Stochastic Volatility Models: A Comparative Monte Carlo Study," EUSP Department of Economics Working Paper Series 2012/04, European University at St. Petersburg, Department of Economics.
- T. R. Santos, 2018. "A Bayesian GED-Gamma stochastic volatility model for return data: a marginal likelihood approach," Papers 1809.01489, arXiv.org.
- Manabu Asai, 2005. "Comparison of MCMC Methods for Estimating Stochastic Volatility Models," Computational Economics, Springer;Society for Computational Economics, vol. 25(3), pages 281-301, June.
- Čížek, Pavel, 2004. "(Non) Linear Regression Modeling," Papers 2004,11, Humboldt University of Berlin, Center for Applied Statistics and Economics (CASE).
- F. Cacace & A. Germani & M. Papi, 2019. "On parameter estimation of Heston’s stochastic volatility model: a polynomial filtering method," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 42(2), pages 503-525, December.
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