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Interest rate forecasts, state price densities and risk premium from Euribor options

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  • Ivanova, Vesela
  • Puigvert Gutiérrez, Josep Maria
Abstract
In this paper we study option-implied interest rate forecasts and the development of risk premium and state prices in the Euribor futures option market. Using parametric and non-parametric statistical calibration, we transform the risk-neutral option implied densities for the Euribor futures rate into real-world densities. We investigate the period from the introduction of the Euro in 1999 until December 2012. The estimated densities are used to provide a measure for the interest rate risk premium and state prices implicit in the futures market. We find that the real-world option-implied distributions can be used to forecast the futures rate, while the forecasting ability of the risk-neutral distributions is rejected. The state price densities in the market show a U-shaped curve suggesting that investors price higher states with high and low rates compared to the expected spot rate. However, we show that, in general, state prices have a more pronounced right tail, implying that investors are more risk averse to increasing interest rates. We also document a negative market price of interest rate risk which generates positive premium for the futures contract.

Suggested Citation

  • Ivanova, Vesela & Puigvert Gutiérrez, Josep Maria, 2014. "Interest rate forecasts, state price densities and risk premium from Euribor options," Journal of Banking & Finance, Elsevier, vol. 48(C), pages 210-223.
    • Handle: RePEc:eee:jbfina:v:48:y:2014:i:c:p:210-223
    DOI: 10.1016/j.jbankfin.2014.03.028
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    Cited by:

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    3. Gianluca Cassese, 2019. "Nonparametric Estimates Of Option Prices And Related Quantities," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 22(07), pages 1-29, November.
    4. Andres Trujillo-Barrera & Philip Garcia & Mindy L Mallory, 2018. "Short-term price density forecasts in the lean hog futures market," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 45(1), pages 121-142.
    5. Rui Fan & Stephen J. Taylor & Matteo Sandri, 2018. "Density forecast comparisons for stock prices, obtained from high‐frequency returns and daily option prices," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 38(1), pages 83-103, January.
    6. Nick Gebbia, 2016. "Option-Implied Libor Rate Expectations across Currencies," International Finance Discussion Papers 1182, Board of Governors of the Federal Reserve System (U.S.).
    7. Ricardo Crisóstomo & Lorena Couso, 2018. "Financial density forecasts: A comprehensive comparison of risk‐neutral and historical schemes," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 37(5), pages 589-603, August.
    8. repec:wsr:wpaper:y:2019:i:189 is not listed on IDEAS
    9. Shan Lu, 2019. "Monte Carlo analysis of methods for extracting risk‐neutral densities with affine jump diffusions," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 39(12), pages 1587-1612, December.

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    More about this item

    Keywords

    Euribor futures; Forecast density; Interest rate premium; State price densities;
    All these keywords.

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G13 - Financial Economics - - General Financial Markets - - - Contingent Pricing; Futures Pricing
    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation

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