{"title":"CRRA效用准则下具有制度转换的稳健资产负债管理:一个连续时间模型","authors":"Xiaowei Chen, F. Huang, Xiufang Li","doi":"10.1080/15326349.2021.1985520","DOIUrl":null,"url":null,"abstract":"Abstract This article describes a robust continuous-time asset-liability management problem under Markov regime-switching. First, we employ the “homothetic robustness” to preserve the performance of robustness for the ALM model, which runs well in precisely modified state variables and performs reasonably if some forms of model misspecification exist. Second, we consider the asset-to-liability ratio instead of the surplus, which ensures that we use relative values instead of absolute values to modify the wealth process. Besides, we use the stochastic dynamic programming method to get some closed-form results and analyze the impacts of parameters on the investment strategy and value function, respectively, by numerical examples.","PeriodicalId":21970,"journal":{"name":"Stochastic Models","volume":null,"pages":null},"PeriodicalIF":0.5000,"publicationDate":"2021-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Robust asset-liability management under CRRA utility criterion with regime switching: a continuous-time model\",\"authors\":\"Xiaowei Chen, F. Huang, Xiufang Li\",\"doi\":\"10.1080/15326349.2021.1985520\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract This article describes a robust continuous-time asset-liability management problem under Markov regime-switching. First, we employ the “homothetic robustness” to preserve the performance of robustness for the ALM model, which runs well in precisely modified state variables and performs reasonably if some forms of model misspecification exist. Second, we consider the asset-to-liability ratio instead of the surplus, which ensures that we use relative values instead of absolute values to modify the wealth process. Besides, we use the stochastic dynamic programming method to get some closed-form results and analyze the impacts of parameters on the investment strategy and value function, respectively, by numerical examples.\",\"PeriodicalId\":21970,\"journal\":{\"name\":\"Stochastic Models\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.5000,\"publicationDate\":\"2021-10-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Stochastic Models\",\"FirstCategoryId\":\"100\",\"ListUrlMain\":\"https://doi.org/10.1080/15326349.2021.1985520\",\"RegionNum\":4,\"RegionCategory\":\"数学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"STATISTICS & PROBABILITY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Stochastic Models","FirstCategoryId":"100","ListUrlMain":"https://doi.org/10.1080/15326349.2021.1985520","RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"STATISTICS & PROBABILITY","Score":null,"Total":0}
Robust asset-liability management under CRRA utility criterion with regime switching: a continuous-time model
Abstract This article describes a robust continuous-time asset-liability management problem under Markov regime-switching. First, we employ the “homothetic robustness” to preserve the performance of robustness for the ALM model, which runs well in precisely modified state variables and performs reasonably if some forms of model misspecification exist. Second, we consider the asset-to-liability ratio instead of the surplus, which ensures that we use relative values instead of absolute values to modify the wealth process. Besides, we use the stochastic dynamic programming method to get some closed-form results and analyze the impacts of parameters on the investment strategy and value function, respectively, by numerical examples.
期刊介绍:
Stochastic Models publishes papers discussing the theory and applications of probability as they arise in the modeling of phenomena in the natural sciences, social sciences and technology. It presents novel contributions to mathematical theory, using structural, analytical, algorithmic or experimental approaches. In an interdisciplinary context, it discusses practical applications of stochastic models to diverse areas such as biology, computer science, telecommunications modeling, inventories and dams, reliability, storage, queueing theory, mathematical finance and operations research.