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Comparison of the Korean and US stock markets using continuous-time stochastic volatility models

Choi, Seungmoon - In: Han gug gae bal yeon gu 40 (2018) 4, pp. 1-22

Persistent link: https://www.econbiz.de/10011954453

Maximum likelihood estimation of stochastic volatility models

Sandmann, Gleb; Koopman, Siem Jan - 1996

Persistent link: https://www.econbiz.de/10000953379

Quasi-maximum likelihood estimation of long-memory stochastic volatility models

Ferraz, Rosemeire O.; Hotta, Luiz K. - In: Brazilian review of econometrics : the review of the … 27 (2007) 2, pp. 225-233

Persistent link: https://www.econbiz.de/10003743610

Numerically accelerated importance sampling for nonlinear non-Gaussian state-space models

Koopman, Siem Jan; Lucas, André; Scharth, Marcel - In: Journal of business & economic statistics : JBES ; a … 33 (2015) 1, pp. 114-127

Persistent link: https://www.econbiz.de/10011389921

Model-based measurement of actual volatility in high-frequency data

Jungbacker, Borus; Koopman, Siem Jan - 2004

In this paper we aim to measure actual volatility within a model-based framework using high-frequency data. In the empirical finance literature it is known that tick-by-tick prices are subject to market micro-structure such as bid-ask bounces and trade information. Such market micro-structure...

Persistent link: https://www.econbiz.de/10011342558