A quasi-maximum likelihood method for estimating the parameters of multivariate diffusions
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- Stan Hurn & Andrew McClelland & Kenneth Lindsay, 2010. "A quasi-maximum likelihood method for estimating the parameters of multivariate diffusions," NCER Working Paper Series 65, National Centre for Econometric Research.
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CitationsCitations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
- Matyas Barczy & Balazs Nyul & Gyula Pap, 2015. "Least squares estimation for the subcritical Heston model based on continuous time observations," Papers 1511.05948, arXiv.org, revised Nov 2017.
- esposito, francesco paolo & cummins, mark, 2015. "Filtering and likelihood estimation of latent factor jump-diffusions with an application to stochastic volatility models," MPRA Paper 64987, University Library of Munich, Germany.
- Kleppe, Tore Selland & Yu, Jun & Skaug, Hans J., 2014. "Maximum likelihood estimation of partially observed diffusion models," Journal of Econometrics, Elsevier, vol. 180(1), pages 73-80.
- Matyas Barczy & Gyula Pap & Tamas T. Szabo, 2014. "Parameter estimation for the subcritical Heston model based on discrete time observations," Papers 1403.0527, arXiv.org, revised Feb 2016.
More about this item
KeywordsStochastic differential equations; Parameter estimation; Quasi-maximum likelihood; Moments;
- C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
- C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
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