{"title":"Optimal positioning in derivative securities in incomplete markets","authors":"Tim Leung, Matthew Lorig, Yoshihiro Shirai","doi":"arxiv-2403.00139","DOIUrl":null,"url":null,"abstract":"This paper analyzes a problem of optimal static hedging using derivatives in\nincomplete markets. The investor is assumed to have a risk exposure to two\nunderlying assets. The hedging instruments are vanilla options written on a\nsingle underlying asset. The hedging problem is formulated as a utility\nmaximization problem whereby the form of the optimal static hedge is\ndetermined. Among our results, a semi-analytical solution for the optimizer is\nfound through variational methods for exponential, power/logarithmic, and\nquadratic utility. When vanilla options are available for each underlying\nasset, the optimal solution is related to the fixed points of a Lipschitz map.\nIn the case of exponential utility, there is only one such fixed point, and\nsubsequent iterations of the map converge to it.","PeriodicalId":501084,"journal":{"name":"arXiv - QuantFin - Mathematical Finance","volume":"52 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-02-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - QuantFin - Mathematical Finance","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2403.00139","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This paper analyzes a problem of optimal static hedging using derivatives in
incomplete markets. The investor is assumed to have a risk exposure to two
underlying assets. The hedging instruments are vanilla options written on a
single underlying asset. The hedging problem is formulated as a utility
maximization problem whereby the form of the optimal static hedge is
determined. Among our results, a semi-analytical solution for the optimizer is
found through variational methods for exponential, power/logarithmic, and
quadratic utility. When vanilla options are available for each underlying
asset, the optimal solution is related to the fixed points of a Lipschitz map.
In the case of exponential utility, there is only one such fixed point, and
subsequent iterations of the map converge to it.