{"title":"基于WCVaR风险控制的套期保值优化模型","authors":"Hongyan Zhi, Zhongyuan Yang","doi":"10.1109/ICMSS.2010.5576907","DOIUrl":null,"url":null,"abstract":"In this paper, using the worst-case conditional value-at-risk of hedging portfolio as optimal function, the hedging ratio is obtained. The distribution type of hedging return is not considered in this method. Then the problem which the subjective determination hedging return distribution causes hedging failure is solved. Considering tail loss of hedging portfolio and colligating the hedger's expectation and risk aversion, the model reflect the risk tolerance ability of hedger, which enhances the hedging effectiveness.","PeriodicalId":329390,"journal":{"name":"2010 International Conference on Management and Service Science","volume":"37 6","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Hedging Optimization Model Based on the Risk Control of WCVaR\",\"authors\":\"Hongyan Zhi, Zhongyuan Yang\",\"doi\":\"10.1109/ICMSS.2010.5576907\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, using the worst-case conditional value-at-risk of hedging portfolio as optimal function, the hedging ratio is obtained. The distribution type of hedging return is not considered in this method. Then the problem which the subjective determination hedging return distribution causes hedging failure is solved. Considering tail loss of hedging portfolio and colligating the hedger's expectation and risk aversion, the model reflect the risk tolerance ability of hedger, which enhances the hedging effectiveness.\",\"PeriodicalId\":329390,\"journal\":{\"name\":\"2010 International Conference on Management and Service Science\",\"volume\":\"37 6\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-09-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 International Conference on Management and Service Science\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICMSS.2010.5576907\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 International Conference on Management and Service Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICMSS.2010.5576907","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Hedging Optimization Model Based on the Risk Control of WCVaR
In this paper, using the worst-case conditional value-at-risk of hedging portfolio as optimal function, the hedging ratio is obtained. The distribution type of hedging return is not considered in this method. Then the problem which the subjective determination hedging return distribution causes hedging failure is solved. Considering tail loss of hedging portfolio and colligating the hedger's expectation and risk aversion, the model reflect the risk tolerance ability of hedger, which enhances the hedging effectiveness.
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