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Dynamics in the VIX complex

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  • Anders Merrild Posselt

Abstract

This paper provides a characterization of the dynamic interactions in the Volatility Index (VIX) complex, composed of the VIX itself, the term structure of VIX futures, and VIX exchange‐traded products (ETPs). I investigate a model that summarizes the VIX futures term structure using latent factors (level, slope, and curvature) and expand it with the VIX and VIX futures demand stemming from VIX ETPs. I find evidence of VIX ETPs impacting the VIX futures term structure, but no evidence of any impacts on the VIX.

Suggested Citation

  • Anders Merrild Posselt, 2022. "Dynamics in the VIX complex," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(9), pages 1665-1687, September.
  • Handle: RePEc:wly:jfutmk:v:42:y:2022:i:9:p:1665-1687
    DOI: 10.1002/fut.22290
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    1. Adrian Fernandez‐Perez & Bart Frijns & Alireza Tourani‐Rad & Robert I. Webb, 2019. "Does increased hedging lead to decreased price efficiency? The case of VIX ETPs and VIX futures," The Financial Review, Eastern Finance Association, vol. 54(3), pages 477-500, August.
    2. Pauline Shum & Walid Hejazi & Edgar Haryanto & Arthur Rodier, 2016. "Intraday Share Price Volatility and Leveraged ETF Rebalancing," Review of Finance, European Finance Association, vol. 20(6), pages 2379-2409.
    3. Ing-Haw Cheng, 2019. "The VIX Premium," The Review of Financial Studies, Society for Financial Studies, vol. 32(1), pages 180-227.
    4. Biao Guo & Qian Han & Bin Zhao, 2014. "The Nelson–Siegel Model of the Term Structure of Option Implied Volatility and Volatility Components," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 34(8), pages 788-806, August.
    5. Xiaoyan Ni, Sophie & Pearson, Neil D. & Poteshman, Allen M., 2005. "Stock price clustering on option expiration dates," Journal of Financial Economics, Elsevier, vol. 78(1), pages 49-87, October.
    6. Chen, Ying & Han, Qian & Niu, Linlin, 2018. "Forecasting the term structure of option implied volatility: The power of an adaptive method," Journal of Empirical Finance, Elsevier, vol. 49(C), pages 157-177.
    7. Itzhak Ben‐David & Francesco Franzoni & Rabih Moussawi, 2018. "Do ETFs Increase Volatility?," Journal of Finance, American Finance Association, vol. 73(6), pages 2471-2535, December.
    8. Mencía, Javier & Sentana, Enrique, 2013. "Valuation of VIX derivatives," Journal of Financial Economics, Elsevier, vol. 108(2), pages 367-391.
    9. Jinghong Shu & Jin E. Zhang, 2012. "Causality in the VIX futures market," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 32(1), pages 24-46, January.
    10. Diebold, Francis X. & Li, Canlin, 2006. "Forecasting the term structure of government bond yields," Journal of Econometrics, Elsevier, vol. 130(2), pages 337-364, February.
    11. Bart Frijns & Alireza Tourani‐Rad & Robert I. Webb, 2016. "On the Intraday Relation Between the VIX and its Futures," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 36(9), pages 870-886, September.
    12. Niels S. GrØnborg & Asger Lunde, 2016. "Analyzing Oil Futures with a Dynamic Nelson‐Siegel Model," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 36(2), pages 153-173, February.
    13. Nicolas P.B. Bollen & Michael J. O'Neill & Robert E. Whaley, 2017. "Tail Wags Dog: Intraday Price Discovery in VIX Markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 37(5), pages 431-451, May.
    14. Ivanov, Ivan T. & Lenkey, Stephen L., 2018. "Do leveraged ETFs really amplify late-day returns and volatility?," Journal of Financial Markets, Elsevier, vol. 41(C), pages 36-56.
    15. Granger, C W J, 1969. "Investigating Causal Relations by Econometric Models and Cross-Spectral Methods," Econometrica, Econometric Society, vol. 37(3), pages 424-438, July.
    16. Nelson, Charles R & Siegel, Andrew F, 1987. "Parsimonious Modeling of Yield Curves," The Journal of Business, University of Chicago Press, vol. 60(4), pages 473-489, October.
    17. Diebold, Francis X. & Rudebusch, Glenn D. & Borag[caron]an Aruoba, S., 2006. "The macroeconomy and the yield curve: a dynamic latent factor approach," Journal of Econometrics, Elsevier, vol. 131(1-2), pages 309-338.
    18. Johnson, Travis L., 2017. "Risk Premia and the VIX Term Structure," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 52(6), pages 2461-2490, December.
    19. Koopman, Siem Jan & Mallee, Max I. P. & Van der Wel, Michel, 2010. "Analyzing the Term Structure of Interest Rates Using the Dynamic Nelson–Siegel Model With Time-Varying Parameters," Journal of Business & Economic Statistics, American Statistical Association, vol. 28(3), pages 329-343.
    20. Brad M. Barber & Xing Huang & Terrance Odean, 2016. "Which Factors Matter to Investors? Evidence from Mutual Fund Flows," The Review of Financial Studies, Society for Financial Studies, vol. 29(10), pages 2600-2642.
    21. Chen, Yu-Lun & Tsai, Wei-Che, 2017. "Determinants of price discovery in the VIX futures market," Journal of Empirical Finance, Elsevier, vol. 43(C), pages 59-73.
    22. Golez, Benjamin & Jackwerth, Jens Carsten, 2012. "Pinning in the S&P 500 futures," Journal of Financial Economics, Elsevier, vol. 106(3), pages 566-585.
    23. Sophie X Ni & Neil D Pearson & Allen M Poteshman & Joshua White & Andrew Karolyi, 2021. "Does Option Trading Have a Pervasive Impact on Underlying Stock Prices? [Equity market impact]," The Review of Financial Studies, Society for Financial Studies, vol. 34(4), pages 1952-1986.
    24. John M Griffin & Amin Shams, 2018. "Manipulation in the VIX?," The Review of Financial Studies, Society for Financial Studies, vol. 31(4), pages 1377-1417.
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