2009
DOI: 10.1080/14697680902785284
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Evaluating portfolio Value-at-Risk using semi-parametric GARCH models

Abstract: In this paper we examine the usefulness of multivariate semi-parametric GARCH models for portfolio selection under a Value-at-Risk (VaR) constraint. First, we specify and estimate several alternative multivariate GARCH models for daily returns on the S&P 500 and Nasdaq indexes. Examining the within sample VaRs of a set of given portfolios shows that the semi-parametric model performs uniformly well, while parametric models in several cases have unacceptable failure rates. Interestingly, distributional assumpti… Show more

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Cited by 19 publications
(14 citation statements)
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References 28 publications
(25 reference statements)
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“…ρ obtained from CC GARCH model (ρ t+1 from DCC GARCH model). The calculation of the portfolio VaR follows Rombouts and Verbeek (2009). Models are fitted over [ t −499, t ].…”
Section: Resultsmentioning
confidence: 99%
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“…ρ obtained from CC GARCH model (ρ t+1 from DCC GARCH model). The calculation of the portfolio VaR follows Rombouts and Verbeek (2009). Models are fitted over [ t −499, t ].…”
Section: Resultsmentioning
confidence: 99%
“… Considering that we are interested in the 1‐day VaR , we follow the literature (Rombouts and Verbeek, 2009) and assume that the conditional 1‐day‐ahead forecast of the return of i equals zero. …”
mentioning
confidence: 99%
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“…Only until recently some limited attempts emerged to investigate the MGARCH based VaR estimates, i.e., Rombouts and Verbeek [46], Ku and Wang [47], Huang et al [48].…”
Section: Portfolio Value At Risk Estimatesmentioning
confidence: 99%
“…How to accurately measure the market risk and better operate the market are commonly concerned by the investors and securities institutions. The economy and finance of China are growing rapidly, so it is necessary to research the stock price index of Chinese stock market while making considerable progresses in securities market, especially the stock market [1][2][3][4][5][6][7].…”
Section: Introductionmentioning
confidence: 99%