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Long‐term dynamics of the VIX index and its tradable counterpart VXX

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  • Milan Bašta
  • Peter Molnár

Abstract

We study the relationship of the VIX index and the exchange‐traded note VXX on various timescales. We find that changes of VIX and VXX are correlated only contemporaneously on timescales of days, but VIX leads VXX on timescales of months. Next, we construct a simple joint model for VXX and VIX which replicates all the key characteristics of these two time series, but in which VIX and VXX are related only via a correlated error term. Therefore, VIX cannot be used as a predictor of VXX and there is no apparent trading profit opportunity.

Suggested Citation

  • Milan Bašta & Peter Molnár, 2019. "Long‐term dynamics of the VIX index and its tradable counterpart VXX," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 39(3), pages 322-341, March.
  • Handle: RePEc:wly:jfutmk:v:39:y:2019:i:3:p:322-341
    DOI: 10.1002/fut.21974
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    1. Luís Aguiar-Conraria & Maria Soares, 2011. "Oil and the macroeconomy: using wavelets to analyze old issues," Empirical Economics, Springer, vol. 40(3), pages 645-655, May.
    2. Vacha, Lukas & Barunik, Jozef, 2012. "Co-movement of energy commodities revisited: Evidence from wavelet coherence analysis," Energy Economics, Elsevier, vol. 34(1), pages 241-247.
    3. Haugom, Erik & Langeland, Henrik & Molnár, Peter & Westgaard, Sjur, 2014. "Forecasting volatility of the U.S. oil market," Journal of Banking & Finance, Elsevier, vol. 47(C), pages 1-14.
    4. Stefan Lyocsa & Peter Molnar & Igor Fedorko, 2016. "Forecasting Exchange Rate Volatility: The Case of the Czech Republic, Hungary and Poland," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 66(5), pages 453-475, October.
    5. Rua, António & Nunes, Luís C., 2009. "International comovement of stock market returns: A wavelet analysis," Journal of Empirical Finance, Elsevier, vol. 16(4), pages 632-639, September.
    6. Bugge, Sebastian A. & Guttormsen, Haakon J. & Molnár, Peter & Ringdal, Martin, 2016. "Implied volatility index for the Norwegian equity market," International Review of Financial Analysis, Elsevier, vol. 47(C), pages 133-141.
    7. In, Francis & Kim, Sangbae, 2006. "Multiscale hedge ratio between the Australian stock and futures markets: Evidence from wavelet analysis," Journal of Multinational Financial Management, Elsevier, vol. 16(4), pages 411-423, October.
    8. Marco Gallegati & Willi Semmler (ed.), 2014. "Wavelet Applications in Economics and Finance," Dynamic Modeling and Econometrics in Economics and Finance, Springer, edition 127, number 978-3-319-07061-2, July-Dece.
    9. Gallegati, Marco, 2008. "Wavelet analysis of stock returns and aggregate economic activity," Computational Statistics & Data Analysis, Elsevier, vol. 52(6), pages 3061-3074, February.
    10. 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.
    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. Patrick Crowley & Jim Lee, 2005. "Decomposing the co-movement of the business cycle: a time- frequency analysis of growth cycles in the eurozone," Macroeconomics 0503015, University Library of Munich, Germany.
    13. Alexander, Carol & Korovilas, Dimitris & Kapraun, Julia, 2016. "Diversification with volatility products," Journal of International Money and Finance, Elsevier, vol. 65(C), pages 213-235.
    14. Luís Aguiar-Conraria & Teresa Maria Rodrigues & Maria Joana Soares, 2014. "Oil Shocks and the Euro as an Optimum Currency Area," Dynamic Modeling and Econometrics in Economics and Finance, in: Marco Gallegati & Willi Semmler (ed.), Wavelet Applications in Economics and Finance, edition 127, pages 143-156, Springer.
    15. Naccache, Théo, 2011. "Oil price cycles and wavelets," Energy Economics, Elsevier, vol. 33(2), pages 338-352, March.
    16. Christoffer Bordonado & Peter Molnár & Sven R. Samdal, 2017. "VIX Exchange Traded Products: Price Discovery, Hedging, and Trading Strategy," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 37(2), pages 164-183, February.
    17. Kim, Sangbae & In, Francis, 2005. "The relationship between stock returns and inflation: new evidence from wavelet analysis," Journal of Empirical Finance, Elsevier, vol. 12(3), pages 435-444, June.
    18. Chakrabarty, Anindya & De, Anupam & Gunasekaran, Angappa & Dubey, Rameshwar, 2015. "Investment horizon heterogeneity and wavelet: Overview and further research directions," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 429(C), pages 45-61.
    19. 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.
    20. Jin E. Zhang & Jinghong Shu & Menachem Brenner, 2010. "The new market for volatility trading," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 30(9), pages 809-833, September.
    21. repec:zbw:bofrdp:2005_012 is not listed on IDEAS
    22. Zhongjin Lu & Yingzi Zhu, 2010. "Volatility components: The term structure dynamics of VIX futures," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 30(3), pages 230-256, March.
    23. Birkelund, Ole Henrik & Haugom, Erik & Molnár, Peter & Opdal, Martin & Westgaard, Sjur, 2015. "A comparison of implied and realized volatility in the Nordic power forward market," Energy Economics, Elsevier, vol. 48(C), pages 288-294.
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    Cited by:

    1. James S. Doran, 2020. "Volatility as an asset class: Holding VIX in a portfolio," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(6), pages 841-859, June.

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