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Option-implied preferences adjustments, density forecasts, and the equity risk premium

Author

Listed:
  • Francisco Alonso

    (Banco de España)

  • Roberto Blanco

    (Banco de España)

  • Gonzalo Rubio

    (Euskal Herriko Unibertsitatea
    Universitat Pompeu Fabra)

Abstract
The main objective of this paper is to analyse the value of information contained in prices of options on the IBEX 35 index at the Spanish Stock Exchange Market. The forward looking information is extracted using implied risk-neutral density functions estimated by a mixture of two lognormals and several alternative risk adjustments: the power, exponential and habit inspired based stochastic discount factors. Moreover, by allowing additional flexibility in the shape of the stochastic discount factor, two other ad hoc time varying risk aversion adjustments are also employed. Our results show that, between October 1996 and March 2000, we can reject the hypothesis that the risk neutral densities provide accurate predictions of the distributions of future realisations of the IBEX 35 index at four and eight week horizons. When forecasting through risk adjusted densities the performance of this period is statistically improved and we no longer reject that hypothesis. Somehow surprisingly, all risk adjusted densities generate similar forecasting statistics. Finally, from October 1996 to December 2004, the ex ante risk premium perceived by investors and that are embedded in option prices is between 12 and 18 percent higher than the premium required to compensate the same investors for the realised volatility in stock market returns.

Suggested Citation

  • Francisco Alonso & Roberto Blanco & Gonzalo Rubio, 2006. "Option-implied preferences adjustments, density forecasts, and the equity risk premium," Working Papers 0630, Banco de España.
    • Handle: RePEc:bde:wpaper:0630
    as

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    References listed on IDEAS

    as
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    Citations

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    Cited by:

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    2. Ricardo Crisóstomo, 2021. "Estimating real‐world probabilities: A forward‐looking behavioral framework," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 41(11), pages 1797-1823, November.
    3. Belén Nieto & Gonzalo Rubio, 2007. "Measuring time-varying economic fears with consumption-based stochastic discount factors," Economics Working Papers 1029, Department of Economics and Business, Universitat Pompeu Fabra, revised Sep 2007.
    4. Ricardo Crisóstomo, 2021. "Estimación de probabilidades representativas del mundo real: importancia de los sesgos conductuales," CNMV Documentos de Trabajo CNMV Documentos de Trabaj, CNMV- Comisión Nacional del Mercado de Valores - Departamento de Estudios y Estadísticas.
    5. Pedro Serrano & Antoni Vaello‐Sebastià & M. Magdalena Vich Llompart, 2024. "International evidence of the forecasting ability of option‐implied distributions," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(5), pages 1447-1464, August.
    6. Josep Puigvert-Gutiérrez & Rupert Vincent-Humphreys, 2012. "A Quantitative Mirror on the Euribor Market Using Implied Probability Density Functions," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 2(1), pages 1-31, June.

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    More about this item

    Keywords

    risk-adjustments; option-implied densities; forecasting performance; equity-risk premium;
    All these keywords.

    JEL classification:

    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates

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