{"title":"非对称收益-波动关系、波动传导与隐含波动指数","authors":"Ihsan Badshah","doi":"10.2139/ssrn.1344413","DOIUrl":null,"url":null,"abstract":"The purpose of this study is twofold: First, to investigate the asymmetric return-volatility phenomenon with newly adapted robust volatility indexes VIX, VXN, VDAX and VSTOXX. Second, we examine the dynamic implied volatility transmissions across the implied volatility indexes using techniques such as Granger causality, generalized impulse response function and variance decomposition. We find pronounced negative and asymmetric return-volatility relationships between each volatility index and its corresponding stock market index. The VIX volatility index presents the highest asymmetric return-volatility relationship followed by the VSTOXX, VDAX and VXN volatility indexes, respectively. Moreover, there are significant spillover effects across the volatility indexes, bi-directional causality running between the volatility indexes. Further, in innovation accounting investigations, the VIX volatility index influences the other three volatility indexes considerably. However, in the European context, VDAX is the dominant source of information. Our findings have implications for trading strategies, hedging portfolios, pricing and hedging volatility derivatives, and risk management.","PeriodicalId":47599,"journal":{"name":"European Journal of Finance","volume":null,"pages":null},"PeriodicalIF":2.2000,"publicationDate":"2009-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"18","resultStr":"{\"title\":\"Asymmetric Return-Volatility Relation, Volatility Transmission and Implied Volatility Indexes\",\"authors\":\"Ihsan Badshah\",\"doi\":\"10.2139/ssrn.1344413\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The purpose of this study is twofold: First, to investigate the asymmetric return-volatility phenomenon with newly adapted robust volatility indexes VIX, VXN, VDAX and VSTOXX. Second, we examine the dynamic implied volatility transmissions across the implied volatility indexes using techniques such as Granger causality, generalized impulse response function and variance decomposition. We find pronounced negative and asymmetric return-volatility relationships between each volatility index and its corresponding stock market index. The VIX volatility index presents the highest asymmetric return-volatility relationship followed by the VSTOXX, VDAX and VXN volatility indexes, respectively. Moreover, there are significant spillover effects across the volatility indexes, bi-directional causality running between the volatility indexes. Further, in innovation accounting investigations, the VIX volatility index influences the other three volatility indexes considerably. However, in the European context, VDAX is the dominant source of information. Our findings have implications for trading strategies, hedging portfolios, pricing and hedging volatility derivatives, and risk management.\",\"PeriodicalId\":47599,\"journal\":{\"name\":\"European Journal of Finance\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.2000,\"publicationDate\":\"2009-02-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"18\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"European Journal of Finance\",\"FirstCategoryId\":\"96\",\"ListUrlMain\":\"https://doi.org/10.2139/ssrn.1344413\",\"RegionNum\":3,\"RegionCategory\":\"经济学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"BUSINESS, FINANCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"European Journal of Finance","FirstCategoryId":"96","ListUrlMain":"https://doi.org/10.2139/ssrn.1344413","RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BUSINESS, FINANCE","Score":null,"Total":0}
Asymmetric Return-Volatility Relation, Volatility Transmission and Implied Volatility Indexes
The purpose of this study is twofold: First, to investigate the asymmetric return-volatility phenomenon with newly adapted robust volatility indexes VIX, VXN, VDAX and VSTOXX. Second, we examine the dynamic implied volatility transmissions across the implied volatility indexes using techniques such as Granger causality, generalized impulse response function and variance decomposition. We find pronounced negative and asymmetric return-volatility relationships between each volatility index and its corresponding stock market index. The VIX volatility index presents the highest asymmetric return-volatility relationship followed by the VSTOXX, VDAX and VXN volatility indexes, respectively. Moreover, there are significant spillover effects across the volatility indexes, bi-directional causality running between the volatility indexes. Further, in innovation accounting investigations, the VIX volatility index influences the other three volatility indexes considerably. However, in the European context, VDAX is the dominant source of information. Our findings have implications for trading strategies, hedging portfolios, pricing and hedging volatility derivatives, and risk management.
期刊介绍:
The European Journal of Finance publishes a full range of research into theoretical and empirical topics in finance. The emphasis is on issues that reflect European interests and concerns. The journal aims to publish work that is motivated by significant issues in the theory or practice of finance. The journal promotes communication between finance academics and practitioners by providing a vehicle for the publication of research into European issues, stimulating research in finance within Europe, encouraging the international exchange of ideas, theories and the practical application of methodologies and playing a positive role in the development of the infrastructure for finance research.