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DC poleHodnotaJazyk
dc.contributor.authorKresta, Aleš
dc.contributor.authorTichý, Tomáš
dc.date.accessioned2016-01-19T08:43:40Z
dc.date.available2016-01-19T08:43:40Z
dc.date.issued2012
dc.identifier.citationE+M. Ekonomie a Management = Economics and Management. 2012, č. 4, s. 147-158.cs
dc.identifier.issn1212-3609 (Print)
dc.identifier.issn2336-5604 (Online)
dc.identifier.urihttp://www.ekonomie-management.cz/download/1379591261_c994/2012_04+Odhad+trzniho+rizika+na+bazi+Levyho+modelu+a+casovy+horizont.pdf
dc.identifier.urihttp://hdl.handle.net/11025/17479
dc.format13 s.cs
dc.format.mimetypeapplication/pdf
dc.language.isocscs
dc.publisherTechnická univerzita v Libercics
dc.relation.ispartofseriesE+M. Ekonomie a Management = Economics and Managementcs
dc.rights© Technická univerzita v Libercics
dc.rightsCC BY-NC 4.0cs
dc.subjectmíra rizikacs
dc.subjectLévyho modelycs
dc.subjectsponové funkcecs
dc.subjectportfoliocs
dc.titleOdhad tržního rizika na bází Lévyho modelů a časový horizontcs
dc.title.alternativeMarket risk estimation via Lévy models and time horizonen
dc.typečlánekcs
dc.typearticleen
dc.rights.accessopenAccessen
dc.type.versionpublishedVersionen
dc.description.abstract-translatedModeling, measuring, and managing the risk is an inherent part of risk management in financial institutions. For those institutions, that are active at financial markets, the market risk plays a significant role. The market risk arises from unexpected changes of market prices of equities, interest rates, foreign currencies, and commodities. In this paper we apply a popular example of subordinated Lévy models – the variance gamma model – in order to estimate the risk of internationally diversified portfolio. The variance gamma model is applied in order to estimate the marginal distribution of particular risk factors (stock indices and currencies). Then, two examples of ordinary elliptical copula functions are used in order to create the portfolio, ie. dependent returns for particular assets. We assume Gaussian copula function and Student copula functions. While both copula functions are strictly symmetric, the latter one allows us to stress the tails of the portfolio distribution. For comparison purposes, also standard Brownian motion is assumed. In order to assess the quality of both models, basic descriptive statistics of portfolio returns distribution are evaluated and next, the risk measures Value at Risk and Conditional Value at Risk for several distinct significance levels are provided. The calculation is done for one day and two- weeks horizons. We show, that symmetrical copula functions can decrease the advantage of variance gamma model (it provides skewed distribution for the marginals, which cannot be, however, compensated by symmetric copula functions). Moreover, we show that the scaling of one day VaR into 10-days VaR, might be misleading.en
dc.subject.translatedrisk measureen
dc.subject.translatedLévy modelsen
dc.subject.translatedcopula functionsen
dc.subject.translatedportfolioen
dc.type.statusPeer-revieweden
Vyskytuje se v kolekcích:Číslo 4 (2012)
Číslo 4 (2012)

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