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dc.contributor.authorAsai, M.
dc.contributor.authorMcaleer, M.
dc.contributor.authorDa Veiga, Bernardo
dc.date.accessioned2017-01-30T11:51:58Z
dc.date.available2017-01-30T11:51:58Z
dc.date.created2015-03-03T20:13:47Z
dc.date.issued2008
dc.identifier.citationAsai, M. and Mcaleer, M. and Da Veiga, B. 2008. Portfolio single index (PSI) multivariate conditional and stochastic volatility models. Mathematics and Computers in Simulation. 78 (2-3): pp. 209-214.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/15800
dc.identifier.doi10.1016/j.matcom.2008.01.014
dc.description.abstract

The paper develops the structure of parsimonious portfolio single index (PSI) multivariate conditional and stochastic constant correlation volatility models, and methods for estimating the underlying parameters. These multivariate estimates of volatility can be used for more accurate portfolio risk management, to enable efficient forecasting of value-at-risk (VaR) thresholds, and to determine optimal Basel Accord capital charges. A parsimonious portfolio single index approach for modelling the conditional and stochastic covariance matrices of a portfolio of assets is developed, and estimation methods for the conditional and stochastic volatility models are discussed.

dc.publisherElsevier Science
dc.titlePortfolio single index (PSI) multivariate conditional and stochastic volatility models
dc.typeJournal Article
dcterms.source.volume78
dcterms.source.number2-3
dcterms.source.startPage209
dcterms.source.endPage214
dcterms.source.issn0378-4754
dcterms.source.titleMathematics and Computers in Simulation
curtin.departmentSchool of Economics and Finance
curtin.accessStatusFulltext not available


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