{"title":"宏观经济条件、波动成分与隐含波动率期限结构:实证研究","authors":"Qian Han","doi":"10.2139/ssrn.2023218","DOIUrl":null,"url":null,"abstract":"Using a Nelson-Siegel approach this article conducts an empirical study of the volatility components directly extracted from the observed implied volatility term structure. We show that (1) the long term volatility component can be explained by macroeconomic and financial variables; (2) a bivariate volatility-component option valuation model is sufficient for pricing options with different maturities; (3) the out-of-sample performance of the Nelson-Siegel model is better than Heston stochastic volatility model, GARCH (1,1) and ad hoc term structure models. The results provide empirical support for the emerging literature of component volatility models.","PeriodicalId":103908,"journal":{"name":"ERN: Other Econometrics: Applied Econometric Modeling in Financial Economics - Econometrics of Financial Markets (Topic)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Macroeconomic Conditions, Volatility Components, and Term Structure of Implied Volatility: An Empirical Investigation\",\"authors\":\"Qian Han\",\"doi\":\"10.2139/ssrn.2023218\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Using a Nelson-Siegel approach this article conducts an empirical study of the volatility components directly extracted from the observed implied volatility term structure. We show that (1) the long term volatility component can be explained by macroeconomic and financial variables; (2) a bivariate volatility-component option valuation model is sufficient for pricing options with different maturities; (3) the out-of-sample performance of the Nelson-Siegel model is better than Heston stochastic volatility model, GARCH (1,1) and ad hoc term structure models. The results provide empirical support for the emerging literature of component volatility models.\",\"PeriodicalId\":103908,\"journal\":{\"name\":\"ERN: Other Econometrics: Applied Econometric Modeling in Financial Economics - Econometrics of Financial Markets (Topic)\",\"volume\":\"24 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-03-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ERN: Other Econometrics: Applied Econometric Modeling in Financial Economics - Econometrics of Financial Markets (Topic)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2139/ssrn.2023218\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ERN: Other Econometrics: Applied Econometric Modeling in Financial Economics - Econometrics of Financial Markets (Topic)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.2023218","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Macroeconomic Conditions, Volatility Components, and Term Structure of Implied Volatility: An Empirical Investigation
Using a Nelson-Siegel approach this article conducts an empirical study of the volatility components directly extracted from the observed implied volatility term structure. We show that (1) the long term volatility component can be explained by macroeconomic and financial variables; (2) a bivariate volatility-component option valuation model is sufficient for pricing options with different maturities; (3) the out-of-sample performance of the Nelson-Siegel model is better than Heston stochastic volatility model, GARCH (1,1) and ad hoc term structure models. The results provide empirical support for the emerging literature of component volatility models.