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The empirical performance of option-based densities of foreign exchange

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  • Ben R. Craig
  • Joachim G. Keller

Abstract

In this paper, the authors calculate risk-neutral densities (RND) by estimating the daily diffusion process of the underlying futures contract for foreign exchange, based on the price of the American puts and calls reported on the Chicago Mercantile Exchange for the end of the day. Their quick and accurate method of calculating the prices of the American options uses higher-order lattices and smoothing of the option's value function at the boundaries to mitigate the nondifferentiability of the payoff boundary at expiration and the early exercise boundary. The authors estimate the diffusion process by minimizing the squared distance between the calculated prices and the observed prices in the data.

Suggested Citation

  • Ben R. Craig & Joachim G. Keller, 2003. "The empirical performance of option-based densities of foreign exchange," Working Papers (Old Series) 0313, Federal Reserve Bank of Cleveland.
    • Handle: RePEc:fip:fedcwp:0313
    DOI: 10.26509/frbc-wp-200313
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    References listed on IDEAS

    as
    1. 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.
    2. Breeden, Douglas T & Litzenberger, Robert H, 1978. "Prices of State-contingent Claims Implicit in Option Prices," The Journal of Business, University of Chicago Press, vol. 51(4), pages 621-651, October.
    3. Figlewski, Stephen & Gao, Bin, 1999. "The adaptive mesh model: a new approach to efficient option pricing," Journal of Financial Economics, Elsevier, vol. 53(3), pages 313-351, September.
    4. Diebold, Francis X & Gunther, Todd A & Tay, Anthony S, 1998. "Evaluating Density Forecasts with Applications to Financial Risk Management," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 39(4), pages 863-883, November.
    5. Clements, Michael P. & Smith, Jeremy, 2001. "Evaluating forecasts from SETAR models of exchange rates," Journal of International Money and Finance, Elsevier, vol. 20(1), pages 133-148, February.
    Full references (including those not matched with items on IDEAS)

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    Cited by:

    1. Gabriela De Raaij & Burkhard Raunig, 2005. "Evaluating density forecasts from models of stock market returns," The European Journal of Finance, Taylor & Francis Journals, vol. 11(2), pages 151-166.
    2. repec:onb:oenbwp:y::i:61:b:1 is not listed on IDEAS
    3. Ben R. Craig & Ernst Glatzer & Joachim G. Keller & Martin Scheicher, 2003. "The forecasting performance of German stock option densities," Working Papers (Old Series) 0312, Federal Reserve Bank of Cleveland.

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    More about this item

    Keywords

    options;

    JEL classification:

    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • F47 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Forecasting and Simulation: Models and Applications
    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • F31 - International Economics - - International Finance - - - Foreign Exchange

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