{"title":"路径积分与智能蒙特卡罗- II","authors":"J. Dash, Xipei Yang","doi":"10.2139/ssrn.2808179","DOIUrl":null,"url":null,"abstract":"“Smart Monte Carlo” (SMC) improves accuracy and speed. We extend results in an earlier paper, applying SMC to path-dependent deals and multifactor models. Auxiliary results are a path-to-path distance, an analytic approximation for N-dimensional Gaussian integrals, and time interpolation results. We suggest “model perturbation” using simple approximate models, and introduce a new product “DIAS” for better mortgage servicing hedging. We prove a consistency condition for the MRG interest-rate model, and discuss real-world vs. risk-neutral simulations.","PeriodicalId":364869,"journal":{"name":"ERN: Simulation Methods (Topic)","volume":"134 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Path Integrals and Smart Monte Carlo - II\",\"authors\":\"J. Dash, Xipei Yang\",\"doi\":\"10.2139/ssrn.2808179\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"“Smart Monte Carlo” (SMC) improves accuracy and speed. We extend results in an earlier paper, applying SMC to path-dependent deals and multifactor models. Auxiliary results are a path-to-path distance, an analytic approximation for N-dimensional Gaussian integrals, and time interpolation results. We suggest “model perturbation” using simple approximate models, and introduce a new product “DIAS” for better mortgage servicing hedging. We prove a consistency condition for the MRG interest-rate model, and discuss real-world vs. risk-neutral simulations.\",\"PeriodicalId\":364869,\"journal\":{\"name\":\"ERN: Simulation Methods (Topic)\",\"volume\":\"134 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-07-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ERN: Simulation Methods (Topic)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2139/ssrn.2808179\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ERN: Simulation Methods (Topic)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.2808179","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
“Smart Monte Carlo” (SMC) improves accuracy and speed. We extend results in an earlier paper, applying SMC to path-dependent deals and multifactor models. Auxiliary results are a path-to-path distance, an analytic approximation for N-dimensional Gaussian integrals, and time interpolation results. We suggest “model perturbation” using simple approximate models, and introduce a new product “DIAS” for better mortgage servicing hedging. We prove a consistency condition for the MRG interest-rate model, and discuss real-world vs. risk-neutral simulations.