Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/40177 
Full metadata record
DC FieldValueLanguage
dc.contributor.authorPackham, Natalieen
dc.contributor.authorSchmidt, Wolfgang M.en
dc.date.accessioned2010-09-09-
dc.date.accessioned2010-09-24T09:03:54Z-
dc.date.available2010-09-24T09:03:54Z-
dc.date.issued2008-
dc.identifier.urihttp://hdl.handle.net/10419/40177-
dc.description.abstractIn Monte Carlo simulation, Latin hypercube sampling (LHS) [McKay et al. (1979)] is a well-known variance reduction technique for vectors of independent random variables. The method presented here, Latin hypercube sampling with dependence (LHSD), extends LHS to vectors of dependent random variables. The resulting estimator is shown to be consistent and asymptotically unbiased. For the bivariate case and under some conditions on the joint distribution, a central limit theorem together with a closed formula for the limit variance are derived. It is shown that for a class of estimators satisfying some monotonicity condition, the LHSD limit variance is never greater than the corresponding Monte Carlo limit variance. In some valuation examples of financial payoffs, when compared to standard Monte Carlo simulation, a variance reduction of factors up to 200 is achieved. LHSD is suited for problems with rare events and for high-dimensional problems, and it may be combined with Quasi-Monte Carlo methods.en
dc.language.isoengen
dc.publisher|aFrankfurt School of Finance & Management, Centre for Practical Quantitative Finance (CPQF) |cFrankfurt a. M.en
dc.relation.ispartofseries|aCPQF Working Paper Series |x15en
dc.subject.jelC15en
dc.subject.jelC63en
dc.subject.jelG12en
dc.subject.ddc330en
dc.subject.keywordMonte Carlo simulationen
dc.subject.keywordvariance reductionen
dc.subject.keywordLatin hypercube samplingen
dc.subject.keywordstratified samplingen
dc.subject.stwMonte-Carlo-Methodeen
dc.subject.stwVarianzanalyseen
dc.subject.stwStichprobenverfahrenen
dc.subject.stwOptionspreistheorieen
dc.subject.stwTheorieen
dc.titleLatin hypercube sampling with dependence and applications in finance-
dc.typeWorking Paperen
dc.identifier.ppn829999655en
dc.rightshttp://www.econstor.eu/dspace/Nutzungsbedingungenen
dc.identifier.repecRePEc:zbw:cpqfwp:15en

Files in This Item:
File
Size
416.76 kB





Items in EconStor are protected by copyright, with all rights reserved, unless otherwise indicated.