{"title":"求解金融中的鲁棒优化模型","authors":"J. Mulvey","doi":"10.1109/CIFER.1996.501816","DOIUrl":null,"url":null,"abstract":"Leading international financial firms are applying multi-stage stochastic programs for managing asset-liability risk over extended time periods. Prominent examples include: Towers Perrin, State Farm Insurance, Falcon Asset Management, Frank Russell and Unilever. The asset-liability management systems assist pension plan investors, banks, insurance companies and other leveraged institutions. Wealthy individuals can benefit by developing careful risk management strategies. The advantages of integrating assets and liabilities are discussed along with a brief comparison of alternative modeling frameworks. We describe the advantages of high-performance computers for solving these difficult nonlinear robust optimization problems.","PeriodicalId":378565,"journal":{"name":"IEEE/IAFE 1996 Conference on Computational Intelligence for Financial Engineering (CIFEr)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1996-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Solving robust optimization models in finance\",\"authors\":\"J. Mulvey\",\"doi\":\"10.1109/CIFER.1996.501816\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Leading international financial firms are applying multi-stage stochastic programs for managing asset-liability risk over extended time periods. Prominent examples include: Towers Perrin, State Farm Insurance, Falcon Asset Management, Frank Russell and Unilever. The asset-liability management systems assist pension plan investors, banks, insurance companies and other leveraged institutions. Wealthy individuals can benefit by developing careful risk management strategies. The advantages of integrating assets and liabilities are discussed along with a brief comparison of alternative modeling frameworks. We describe the advantages of high-performance computers for solving these difficult nonlinear robust optimization problems.\",\"PeriodicalId\":378565,\"journal\":{\"name\":\"IEEE/IAFE 1996 Conference on Computational Intelligence for Financial Engineering (CIFEr)\",\"volume\":\"11 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1996-03-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE/IAFE 1996 Conference on Computational Intelligence for Financial Engineering (CIFEr)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CIFER.1996.501816\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE/IAFE 1996 Conference on Computational Intelligence for Financial Engineering (CIFEr)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CIFER.1996.501816","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Leading international financial firms are applying multi-stage stochastic programs for managing asset-liability risk over extended time periods. Prominent examples include: Towers Perrin, State Farm Insurance, Falcon Asset Management, Frank Russell and Unilever. The asset-liability management systems assist pension plan investors, banks, insurance companies and other leveraged institutions. Wealthy individuals can benefit by developing careful risk management strategies. The advantages of integrating assets and liabilities are discussed along with a brief comparison of alternative modeling frameworks. We describe the advantages of high-performance computers for solving these difficult nonlinear robust optimization problems.