{"title":"使用深度学习预测印度波动率指数的每日变化方向","authors":"Akhilesh Prasad , Priti Bakhshi , Debashis Guha","doi":"10.1016/j.iimb.2023.05.002","DOIUrl":null,"url":null,"abstract":"<div><p>The VIX index is an indicator of the market's perception of risk, and an accurate forecast of the movements in VIX can be very useful for investment risk management. So, the aim of this study is to predict the day-to-day movement of the India VIX using six deep learning architectures. All six architectures performed well and achieved a higher level of accuracy with minor differences than in previous studies. The findings of the study are of great relevance for assessing short-term risk as well as long-term strategies for hedgers, risk-averse investors, volatility traders, investors, and financial researchers.</p></div>","PeriodicalId":46337,"journal":{"name":"IIMB Management Review","volume":"35 2","pages":"Pages 149-163"},"PeriodicalIF":1.7000,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Forecasting the direction of daily changes in the India VIX index using deep learning\",\"authors\":\"Akhilesh Prasad , Priti Bakhshi , Debashis Guha\",\"doi\":\"10.1016/j.iimb.2023.05.002\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>The VIX index is an indicator of the market's perception of risk, and an accurate forecast of the movements in VIX can be very useful for investment risk management. So, the aim of this study is to predict the day-to-day movement of the India VIX using six deep learning architectures. All six architectures performed well and achieved a higher level of accuracy with minor differences than in previous studies. The findings of the study are of great relevance for assessing short-term risk as well as long-term strategies for hedgers, risk-averse investors, volatility traders, investors, and financial researchers.</p></div>\",\"PeriodicalId\":46337,\"journal\":{\"name\":\"IIMB Management Review\",\"volume\":\"35 2\",\"pages\":\"Pages 149-163\"},\"PeriodicalIF\":1.7000,\"publicationDate\":\"2023-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IIMB Management Review\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0970389623000514\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"MANAGEMENT\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IIMB Management Review","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0970389623000514","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"MANAGEMENT","Score":null,"Total":0}
Forecasting the direction of daily changes in the India VIX index using deep learning
The VIX index is an indicator of the market's perception of risk, and an accurate forecast of the movements in VIX can be very useful for investment risk management. So, the aim of this study is to predict the day-to-day movement of the India VIX using six deep learning architectures. All six architectures performed well and achieved a higher level of accuracy with minor differences than in previous studies. The findings of the study are of great relevance for assessing short-term risk as well as long-term strategies for hedgers, risk-averse investors, volatility traders, investors, and financial researchers.
期刊介绍:
IIMB Management Review (IMR) is a quarterly journal brought out by the Indian Institute of Management Bangalore. Addressed to management practitioners, researchers and academics, IMR aims to engage rigorously with practices, concepts and ideas in the field of management, with an emphasis on providing managerial insights, in a reader friendly format. To this end IMR invites manuscripts that provide novel managerial insights in any of the core business functions. The manuscript should be rigorous, that is, the findings should be supported by either empirical data or a well-justified theoretical model, and well written. While these two requirements are necessary for acceptance, they do not guarantee acceptance. The sole criterion for publication is contribution to the extant management literature.Although all manuscripts are welcome, our special emphasis is on papers that focus on emerging economies throughout the world. Such papers may either improve our understanding of markets in such economies through novel analyses or build models by taking into account the special characteristics of such economies to provide guidance to managers.