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Interpreting implied risk-neutral densities: the role of risk premia

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  • Vestin, David
  • Hördahl, Peter

Abstract

This paper examines differences between risk-neutral and objective probability densities of future interest rates. The identification and quantification of these differences are important when risk-neutral densities (RNDs), such as option-implied RNDs, are used as indicators of actual beliefs of investors. We employ a multi-factor essentially affine modeling framework applied to German time-series and cross-section term structure data in order to identify both the risk-neutral and the objective term structure dynamics. We find important differences between risk-neutral and objective distributions due to risk premia in bond prices. Moreover, the estimated premia vary over time in a quantitatively significant way, which implies that the differences between the objective and the risk-neutral distributions also vary over time. We conclude that one should be cautious in interpreting RNDs as representing the true expectations of market participants. The method used in this paper provides an alternative approach to identifying probabilities of future interest rates. JEL Classification: G12, E43

Suggested Citation

  • Vestin, David & Hördahl, Peter, 2003. "Interpreting implied risk-neutral densities: the role of risk premia," Working Paper Series 274, European Central Bank.
    • Handle: RePEc:ecb:ecbwps:2003274
    Note: 343743
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    Citations

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    Cited by:

    1. Peter Hördahl & David Vestin, 2005. "Interpreting Implied Risk-Neutral Densities: The Role of Risk Premia," Review of Finance, European Finance Association, vol. 9(1), pages 97-137.
    2. Ma, Zong-Gang & Ma, Chao-Qun, 2013. "Pricing catastrophe risk bonds: A mixed approximation method," Insurance: Mathematics and Economics, Elsevier, vol. 52(2), pages 243-254.
    3. Guillermo Benavides Perales & Israel Felipe Mora Cuevas, 2008. "Parametric vs. non-parametric methods for estimating option implied risk-neutral densities: the case of the exchange rate Mexican peso – US dollar," Ensayos Revista de Economia, Universidad Autonoma de Nuevo Leon, Facultad de Economia, vol. 0(1), pages 33-52, May.
    4. Bagnara, Matteo & Jappelli, Ruggero, 2022. "Liquidity derivatives," SAFE Working Paper Series 358, Leibniz Institute for Financial Research SAFE.
    5. Jukka Sihvonen & Sami Vähämaa, 2014. "Forward‐Looking Monetary Policy Rules and Option‐Implied Interest Rate Expectations," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 34(4), pages 346-373, April.
    6. William R. Emmons & Aeimit K. Lakdawala & Christopher J. Neely, 2006. "What are the odds? option-based forecasts of FOMC target changes," Review, Federal Reserve Bank of St. Louis, vol. 88(Nov), pages 543-562.
    7. Ascari, Guido & Rankin, Neil, 2007. "Perpetual youth and endogenous labor supply: A problem and a possible solution," Journal of Macroeconomics, Elsevier, vol. 29(4), pages 708-723, December.
    8. Don H. Kim, 2008. "Zero bound, option-implied PDFs, and term structure models," Finance and Economics Discussion Series 2008-31, Board of Governors of the Federal Reserve System (U.S.).
    9. Schmitz, Jochen & Ledebur, Oliver von, 2012. "The 2007 emerging corn price surge revisited – Was it expected or a large surprise?," 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil 123971, International Association of Agricultural Economists.
    10. Eickholt, Mathias & Entrop, Oliver & Wilkens, Marco, 2014. "Individual investors and suboptimal early exercises in the fixed-income market," Passauer Diskussionspapiere, Betriebswirtschaftliche Reihe 14, University of Passau, Faculty of Business and Economics.
    11. Eickholt, Mathias & Entrop, Oliver & Wilkens, Marco, 2018. "What makes individual investors exercise early? Empirical evidence from non-tradable fixed-income products," Journal of Banking & Finance, Elsevier, vol. 97(C), pages 318-334.

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    More about this item

    Keywords

    essentially affine term structure model; Risk-neutral densities; risk premia;
    All these keywords.

    JEL classification:

    • J45 - Labor and Demographic Economics - - Particular Labor Markets - - - Public Sector Labor Markets
    • H7 - Public Economics - - State and Local Government; Intergovernmental Relations

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