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High- and Low-Frequency Exchange Rate Volatility Dynamics: Range-Based Estimation of Stochastic Volatility Models

Author

Listed:
  • Sassan Alizadeh
  • Michael W. Brandt
  • Francis X. Diebold

Abstract

We propose using the price range in the estimation of stochastic volatility models. We show theoretically, numerically, and empirically that the range is not only a highly efficient volatility proxy, but also that it is approximately Gaussian and robust to microstructure noise. The good properties of the range imply that range-based Gaussian quasi-maximum likelihood estimation produces simple and highly efficient estimates of stochastic volatility models and extractions of latent volatility series. We use our method to examine the dynamics of daily exchange rate volatility and discover that traditional one-factor models are inadequate for describing simultaneously the high- and low-frequency dynamics of volatility. Instead, the evidence points strongly toward two-factor models with one highly persistent factor and one quickly mean-reverting factor.

Suggested Citation

  • Sassan Alizadeh & Michael W. Brandt & Francis X. Diebold, 2001. "High- and Low-Frequency Exchange Rate Volatility Dynamics: Range-Based Estimation of Stochastic Volatility Models," NBER Working Papers 8162, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:8162
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    References listed on IDEAS

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    Cited by:

    1. Wang, Jianxin, 2007. "Foreign equity trading and emerging market volatility: Evidence from Indonesia and Thailand," Journal of Development Economics, Elsevier, vol. 84(2), pages 798-811, November.
    2. Galina Hale & Assaf Razin & Hui Tong, 2009. "The impact of creditor protection on stock prices in the presence of credit crunches," Proceedings, Federal Reserve Bank of San Francisco, issue Jan.
    3. Pan, Jun, 2002. "The jump-risk premia implicit in options: evidence from an integrated time-series study," Journal of Financial Economics, Elsevier, vol. 63(1), pages 3-50, January.

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    JEL classification:

    • G1 - Financial Economics - - General Financial Markets
    • F3 - International Economics - - International Finance

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