Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/65706
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Type: Journal article
Title: On filtering and estimation of a threshold stochastic volatility model
Author: Elliott, R.
Liew, C.
Siu, T.
Citation: Applied Mathematics and Computation, 2011; 218(1):61-75
Publisher: Elsevier Science Inc
Issue Date: 2011
ISSN: 0096-3003
1873-5649
Statement of
Responsibility: 
Robert J. Elliott, Chuin Ching Liew and Tak Kuen Siu
Abstract: We derive a nonlinear filter and the corresponding filter-based estimates for a threshold autoregressive stochastic volatility (TARSV) model. Using the technique of a reference probability measure, we derive a nonlinear filter for the hidden volatility and related quantities. The filter-based estimates for the unknown parameters are then obtained from the EM algorithm. © 2011 Elsevier Inc. All rights reserved.
Keywords: Stochastic volatility
Threshold principle
Filtering
Change of measures
Reference probability
EM algorithm
Rights: Copyright © 2011 Elsevier B.V. All rights reserved
DOI: 10.1016/j.amc.2011.05.052
Grant ID: http://purl.org/au-research/grants/arc/DP0877639
Published version: http://dx.doi.org/10.1016/j.amc.2011.05.052
Appears in Collections:Aurora harvest 5
Mathematical Sciences publications

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