High-Frequency Causality in the VIX Index and its derivatives: Empirical Evidence

Farokhnia, Kia; Osterrieder, Jörg Robert (June 2022). High-Frequency Causality in the VIX Index and its derivatives: Empirical Evidence Cornell University 10.48550/arXiv.2206.13138

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In February 2018, the VIX index has seen its largest ever increase and has lead to significant losses for some major volatility related products. Despite many efforts, the precise underlying reasons are yet to be discovered. We study the role of linear causality in the VIX index and its derivatives during January and February 2018. Due to the shortcomings of statistical inferences for stochastic volatility models, the dynamics of the volatility expectation index VIX remain controversial. Leveraging intraday data, we discover novel empirical results describing their interaction. We find bidirectional causality between the VIX spot and the implied volatility of Standard and Poors 500 options, suggesting a volatility feedback effect. The spot index tends to be lagging its own futures, while the vector autoregressions error correction mechanism reveals a significant mean-reverting equilibrium relationship. The evidence is consistent with recent theories indicating that implied volatility has stronger feedback than realized volatility. The paper reveals a retroactive information flow and highlights novel insights for the market microstructure of VIX derivatives and their related SnP 500 options.

Item Type:	Working Paper
Division/Institute:	Business School > Institute for Applied Data Science & Finance Business School
Name:	Farokhnia, Kia and Osterrieder, Jörg Robert0000-0003-0189-8636
Publisher:	Cornell University
Language:	English
Submitter:	Jörg Robert Osterrieder
Date Deposited:	26 Aug 2022 08:17
Last Modified:	29 Aug 2022 15:20
Publisher DOI:	10.48550/arXiv.2206.13138
Uncontrolled Keywords:	VIX Causality Vector Autoregression Model Stochastic Volatility
ARBOR DOI:	10.24451/arbor.17430
URI:	https://arbor.bfh.ch/id/eprint/17430