{"title":"预测VIX:预测评价标准的假象","authors":"Stavros Degiannakis, Eleftheria Kafousaki","doi":"10.52903/wp2023322","DOIUrl":null,"url":null,"abstract":"The paper uses daily realised volatility measures in order to gain forecast accuracy over stocks' market implied volatility, as proxied by VIX Index, for forecast horizon of 1, 5, 10 and 22 days ahead. We evaluate forecast accuracy by incorporating a traditional statistical loss function, along with an objective-based evaluation criterion, that is the cumulative returns earned from the different HAR-type volatility models, through a simple yet effective trading exercise on VIX futures. Findings illustrate how illusive the choice between the two metrics may be, as it ends in two contradicting results.","PeriodicalId":35806,"journal":{"name":"Working Paper - Chr. Michelson Institute","volume":"41 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Forecasting VIX: the illusion of forecast evaluation criteria\",\"authors\":\"Stavros Degiannakis, Eleftheria Kafousaki\",\"doi\":\"10.52903/wp2023322\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper uses daily realised volatility measures in order to gain forecast accuracy over stocks' market implied volatility, as proxied by VIX Index, for forecast horizon of 1, 5, 10 and 22 days ahead. We evaluate forecast accuracy by incorporating a traditional statistical loss function, along with an objective-based evaluation criterion, that is the cumulative returns earned from the different HAR-type volatility models, through a simple yet effective trading exercise on VIX futures. Findings illustrate how illusive the choice between the two metrics may be, as it ends in two contradicting results.\",\"PeriodicalId\":35806,\"journal\":{\"name\":\"Working Paper - Chr. Michelson Institute\",\"volume\":\"41 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-07-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Working Paper - Chr. Michelson Institute\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.52903/wp2023322\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"Social Sciences\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Working Paper - Chr. Michelson Institute","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.52903/wp2023322","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Social Sciences","Score":null,"Total":0}
Forecasting VIX: the illusion of forecast evaluation criteria
The paper uses daily realised volatility measures in order to gain forecast accuracy over stocks' market implied volatility, as proxied by VIX Index, for forecast horizon of 1, 5, 10 and 22 days ahead. We evaluate forecast accuracy by incorporating a traditional statistical loss function, along with an objective-based evaluation criterion, that is the cumulative returns earned from the different HAR-type volatility models, through a simple yet effective trading exercise on VIX futures. Findings illustrate how illusive the choice between the two metrics may be, as it ends in two contradicting results.