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The Accuracy of Density Forecasts from Foreign Exchange Options

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Author Info

  • Peter Christoffersen
  • Stefano Mazzotta

Abstract

Financial decision makers often consider the information in currency option valuations when making assessments about future exchange rates. The purpose of this article is to systematically assess the quality of option-based volatility and density forecasts. We use a unique dataset consisting of more than 10 years of daily data on over-the-counter (OTC) currency option prices. We find that the OTC implied volatilities provide largely unbiased and fairly accurate forecasts of one-month- and three-month-ahead realized volatility. Furthermore, we find that the one-month option implied density forecasts are well calibrated for the center of the distribution, but we find evidence of misspecification in the tail density forecasts. Copyright 2005, Oxford University Press.

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File URL: http://hdl.handle.net/10.1093/jjfinec/nbi021
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Bibliographic Info

Article provided by Society for Financial Econometrics in its journal Journal of Financial Econometrics.

Volume (Year): 3 (2005)
Issue (Month): 4 ()
Pages: 578-605

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Handle: RePEc:oup:jfinec:v:3:y:2005:i:4:p:578-605

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Cited by:
  1. Nikkinen, Jussi & Vähämaa, Sami, 2009. "Central bank interventions and implied exchange rate correlations," Journal of Empirical Finance, Elsevier, vol. 16(5), pages 862-873, December.
  2. Krylova, Elizaveta & Nikkinen, Jussi & Vähämaa, Sami, 2009. "Cross-dynamics of volatility term structures implied by foreign exchange options," Journal of Economics and Business, Elsevier, vol. 61(5), pages 355-375, September.
  3. Carriero, Andrea & Clark, Todd & Marcellino, Massimiliano, 2013. "Real-Time Nowcasting with a Bayesian Mixed Frequency Model with Stochastic Volatility," CEPR Discussion Papers 9312, C.E.P.R. Discussion Papers.
  4. Chalamandaris, Georgios & Tsekrekos, Andrianos E., 2011. "How important is the term structure in implied volatility surface modeling? Evidence from foreign exchange options," Journal of International Money and Finance, Elsevier, vol. 30(4), pages 623-640, June.
  5. Chalamandaris, Georgios & Tsekrekos, Andrianos E., 2010. "Predictable dynamics in implied volatility surfaces from OTC currency options," Journal of Banking & Finance, Elsevier, vol. 34(6), pages 1175-1188, June.
  6. Ariful Hoque & Chandrasekhar Krishnamurti, 2012. "Modeling moneyness volatility in measuring exchange rate volatility," International Journal of Managerial Finance, Emerald Group Publishing, vol. 8(4), pages 365-380.
  7. Ammann, Manuel & Buesser, Ralf, 2013. "Variance Risk Premiums in Foreign Exchange Markets," Working Papers on Finance 1304, University of St. Gallen, School of Finance.
  8. Leonidas Tsiaras, 2010. "Dynamic Models of Exchange Rate Dependence Using Option Prices and Historical Returns," CREATES Research Papers 2010-35, School of Economics and Management, University of Aarhus.
  9. Peter Christoffersen & Kris Jacobs & Bo Young Chang, 2011. "Forecasting with Option Implied Information," CREATES Research Papers 2011-46, School of Economics and Management, University of Aarhus.
  10. Wagner Piazza Gaglianone & Jaqueline Terra Moura Marins, 2014. "Risk Assessment of the Brazilian FX Rate," Working Papers Series 344, Central Bank of Brazil, Research Department.

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