{"title":"具有自相关效应的市场风险VaR历史模拟模型:注","authors":"Wantanee Surapaitoolkorn","doi":"10.32890/IJBF2009.6.2.8395","DOIUrl":null,"url":null,"abstract":"The modern market risk model using Value at Risk (VaR) method in the banking area under the BASEL II Accord can take different forms of simulation. In this paper, historical simulation will be applied to the VaR model comparing the two different approaches of Geometric Brownian Motion (GBM) process and Bootstrapping methods. The analysis will use correlation plots and examine the effects of the autocorrelation function for stock returns.","PeriodicalId":170943,"journal":{"name":"The International Journal of Banking and Finance","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"MARKET RISK VaR HISTORICAL SIMULATION MODEL WITH AUTOCORRELATION EFFECT: A NOTE\",\"authors\":\"Wantanee Surapaitoolkorn\",\"doi\":\"10.32890/IJBF2009.6.2.8395\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The modern market risk model using Value at Risk (VaR) method in the banking area under the BASEL II Accord can take different forms of simulation. In this paper, historical simulation will be applied to the VaR model comparing the two different approaches of Geometric Brownian Motion (GBM) process and Bootstrapping methods. The analysis will use correlation plots and examine the effects of the autocorrelation function for stock returns.\",\"PeriodicalId\":170943,\"journal\":{\"name\":\"The International Journal of Banking and Finance\",\"volume\":\"15 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-08-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"The International Journal of Banking and Finance\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.32890/IJBF2009.6.2.8395\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"The International Journal of Banking and Finance","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.32890/IJBF2009.6.2.8395","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
MARKET RISK VaR HISTORICAL SIMULATION MODEL WITH AUTOCORRELATION EFFECT: A NOTE
The modern market risk model using Value at Risk (VaR) method in the banking area under the BASEL II Accord can take different forms of simulation. In this paper, historical simulation will be applied to the VaR model comparing the two different approaches of Geometric Brownian Motion (GBM) process and Bootstrapping methods. The analysis will use correlation plots and examine the effects of the autocorrelation function for stock returns.