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Extracting information on implied volatilities and discrete dividends from American options prices

Author

Listed:
  • Martina Nardon

    (Department of Economics, University Of Venice C� Foscari)

  • Paolo Pianca

    (pianca@unive.it)

Abstract

This contribution deals with options on assets which pay cash dividends. Pricing methods which consider discrete dividends are usually computationally expensive; a first purpose of this paper is to study efficient and accurate numerical procedures which yield consistent prices for both European and American options in the presence of discrete dividends. We then analyze some methodologies to extract information on volatilities and dividends from observable option prices. Implied dividends can also be computed using a modified version of the well known put-call parity relationship. This technique is straightforward, nevertheless, its use is limited to European options and, when dealing with equities, most traded options are of American-type. As an alternative, numerical inversion of pricing methods can be used. We apply different procedures to obtain implied volatilities and dividends of listed stocks of the Italian Derivatives Market.

Suggested Citation

  • Martina Nardon & Paolo Pianca, 2012. "Extracting information on implied volatilities and discrete dividends from American options prices," Working Papers 2012_25, Department of Economics, University of Venice "Ca' Foscari".
    • Handle: RePEc:ven:wpaper:2012_25
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    References listed on IDEAS

    as
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    6. Brooks, Raymond M., 1994. "Dividend predicting using put-call parity," International Review of Economics & Finance, Elsevier, vol. 3(4), pages 373-392.
    7. Antonella Basso & Martina Nardon & Paolo Pianca, 2004. "A two-step simulation procedure to analyze the exercise features of American options," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 27(1), pages 35-56, August.
    8. Whaley, Robert E., 1981. "On the valuation of American call options on stocks with known dividends," Journal of Financial Economics, Elsevier, vol. 9(2), pages 207-211, June.
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    Cited by:

    1. Shuaiqiang Liu & 'Alvaro Leitao & Anastasia Borovykh & Cornelis W. Oosterlee, 2020. "On Calibration Neural Networks for extracting implied information from American options," Papers 2001.11786, arXiv.org.

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    More about this item

    Keywords

    Options on stocks; discrete dividends; lattice methods; implied volatilities; implied dividends.;
    All these keywords.

    JEL classification:

    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • G13 - Financial Economics - - General Financial Markets - - - Contingent Pricing; Futures Pricing

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