{"title":"基于波动率模型的改进POT方法在风险测度估计中的应用","authors":"M. Fałdziński","doi":"10.12775/DEM.2009.012","DOIUrl":null,"url":null,"abstract":"The main aim of this paper is the presentation and empirical analysis of the new approach which combines volatility models with Peaks over Threshold method that comes from extreme value theory. The new approach is applied for estimation of risk measures (VaR and ES) in financial time series. For the empirical analysis the financial risk model evaluation was conducted. In this paper the POT method was compared with standard volatility models (GARCH and SV) in case of the conditional modeling.","PeriodicalId":31914,"journal":{"name":"Dynamic Econometric Models","volume":"116 1","pages":"119-128"},"PeriodicalIF":0.0000,"publicationDate":"2009-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Application of Modified POT Method with Volatility Model for Estimation of Risk Measures\",\"authors\":\"M. Fałdziński\",\"doi\":\"10.12775/DEM.2009.012\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The main aim of this paper is the presentation and empirical analysis of the new approach which combines volatility models with Peaks over Threshold method that comes from extreme value theory. The new approach is applied for estimation of risk measures (VaR and ES) in financial time series. For the empirical analysis the financial risk model evaluation was conducted. In this paper the POT method was compared with standard volatility models (GARCH and SV) in case of the conditional modeling.\",\"PeriodicalId\":31914,\"journal\":{\"name\":\"Dynamic Econometric Models\",\"volume\":\"116 1\",\"pages\":\"119-128\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-07-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Dynamic Econometric Models\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.12775/DEM.2009.012\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Dynamic Econometric Models","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.12775/DEM.2009.012","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Application of Modified POT Method with Volatility Model for Estimation of Risk Measures
The main aim of this paper is the presentation and empirical analysis of the new approach which combines volatility models with Peaks over Threshold method that comes from extreme value theory. The new approach is applied for estimation of risk measures (VaR and ES) in financial time series. For the empirical analysis the financial risk model evaluation was conducted. In this paper the POT method was compared with standard volatility models (GARCH and SV) in case of the conditional modeling.
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