Hamidreza Maleki Almani, Foad Shokrollahi, Tommi Sottinen
{"title":"Hedging in Jump Diffusion Model with Transaction Costs","authors":"Hamidreza Maleki Almani, Foad Shokrollahi, Tommi Sottinen","doi":"arxiv-2408.10785","DOIUrl":null,"url":null,"abstract":"We consider the jump-diffusion risky asset model and study its conditional\nprediction laws. Next, we explain the conditional least square hedging strategy\nand calculate its closed form for the jump-diffusion model, considering the\nBlack-Scholes framework with interpretations related to investor priorities and\ntransaction costs. We investigate the explicit form of this result for the\nparticular case of the European call option under transaction costs and\nformulate recursive hedging strategies. Finally, we present a decision tree,\ntable of values, and figures to support our results.","PeriodicalId":501045,"journal":{"name":"arXiv - QuantFin - Portfolio Management","volume":"421 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - QuantFin - Portfolio Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2408.10785","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
We consider the jump-diffusion risky asset model and study its conditional
prediction laws. Next, we explain the conditional least square hedging strategy
and calculate its closed form for the jump-diffusion model, considering the
Black-Scholes framework with interpretations related to investor priorities and
transaction costs. We investigate the explicit form of this result for the
particular case of the European call option under transaction costs and
formulate recursive hedging strategies. Finally, we present a decision tree,
table of values, and figures to support our results.