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Measuring and trading volatility on the US stock market: A regime switching approach

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  • José P. Dapena
  • Juan A. Serur
  • Julián R. Siri

Abstract

The volatility premium is a well-documented phenomenon, which can be approximated by the difference between the previous month level of the VIX Index and the rolling 30-day close-to-close volatility. Along with the literature, we show evidence that VIX is generally above the 30-day rolling volatility giving rise to the volatility premium, so selling volatility can become a profitable trading strategy as long as proper risk management is under place. As a contribution, we introduced the implementation of a Hidden Markov Model (HMM), identifying two states of the nature and showing that the volatility premium undergoes temporal breaks in its behavior. Based on this, we formulate a trading strategy by selling volatility and switching to medium-term U.S. Treasury Bills when appropriated. We test the performance of the strategy using the conventional Carhart four-factor model showing a positive and statistically significant alpha.

Suggested Citation

  • José P. Dapena & Juan A. Serur & Julián R. Siri, 2018. "Measuring and trading volatility on the US stock market: A regime switching approach," CEMA Working Papers: Serie Documentos de Trabajo. 659, Universidad del CEMA.
    • Handle: RePEc:cem:doctra:659
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    References listed on IDEAS

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    1. José P. Dapena & Julian R. Siri, 2015. "Index options realized returns distributions from passive investment strategies," CEMA Working Papers: Serie Documentos de Trabajo. 580, Universidad del CEMA.
    2. Fama, Eugene F. & French, Kenneth R., 1993. "Common risk factors in the returns on stocks and bonds," Journal of Financial Economics, Elsevier, vol. 33(1), pages 3-56, February.
    3. Andersen, Torben G. & Fusari, Nicola & Todorov, Viktor, 2015. "The risk premia embedded in index options," Journal of Financial Economics, Elsevier, vol. 117(3), pages 558-584.
    4. Carhart, Mark M, 1997. "On Persistence in Mutual Fund Performance," Journal of Finance, American Finance Association, vol. 52(1), pages 57-82, March.
    5. Psaradakis, Zacharias & Sola, Martin, 1998. "Finite-sample properties of the maximum likelihood estimator in autoregressive models with Markov switching," Journal of Econometrics, Elsevier, vol. 86(2), pages 369-386, June.
    6. Jackwerth, Jens Carsten & Rubinstein, Mark, 1996. "Recovering Probability Distributions from Option Prices," Journal of Finance, American Finance Association, vol. 51(5), pages 1611-1632, December.
    7. Fama, Eugene F. & French, Kenneth R., 2012. "Size, value, and momentum in international stock returns," Journal of Financial Economics, Elsevier, vol. 105(3), pages 457-472.
    8. Campbell R. Harvey & Akhtar Siddique, 2000. "Conditional Skewness in Asset Pricing Tests," Journal of Finance, American Finance Association, vol. 55(3), pages 1263-1295, June.
    9. Kraus, Alan & Litzenberger, Robert H, 1976. "Skewness Preference and the Valuation of Risk Assets," Journal of Finance, American Finance Association, vol. 31(4), pages 1085-1100, September.
    10. Roman Kozhan & Anthony Neuberger & Paul Schneider, 2013. "The Skew Risk Premium in the Equity Index Market," The Review of Financial Studies, Society for Financial Studies, vol. 26(9), pages 2174-2203.
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    Cited by:

    1. José P. Dapena & Juan A. Serur & Julián R. Siri, 2019. "Risk on-Risk off: A regime switching model for active portfolio management," CEMA Working Papers: Serie Documentos de Trabajo. 706, Universidad del CEMA.

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    More about this item

    Keywords

    Realized volatility; expected volatility; volatility premium; regime switching; excess returns; hidden Markov model; VIX.;
    All these keywords.

    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
    • C3 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables
    • N2 - Economic History - - Financial Markets and Institutions
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions

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