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    Option pricing via maximization over uncertainty and correction of volatility smile

    162044_39609_IJTAF vlsmm final 2011.pdf (144.8Kb)
    Access Status
    Open access
    Authors
    Dokuchaev, Nikolai
    Date
    2011
    Type
    Journal Article
    
    Metadata
    Show full item record
    Citation
    Dokuchaev, Nikolai. 2011. Option pricing via maximization over uncertainty and correction of volatility smile. International Journal of Theoretical and Applied Finance (IJTAF). 14 (4): pp. 507-524.
    Source Title
    International Journal of Theoretical and Applied Finance
    DOI
    10.1142/S0219024911006711
    ISSN
    0219-0249
    School
    Department of Mathematics and Statistics
    Remarks

    This is an electronic version of an article published in the International Journal of Theoretical and Applied Finance (IJTAF), 14, 4, 2011, 507-524. http://dx.doi.org/10.1142/S0219024911006711 Copyright © World Scientific Publishing Company. http://www.worldscinet.com/ijtaf/

    URI
    http://hdl.handle.net/20.500.11937/19216
    Collection
    • Curtin Research Publications
    Abstract

    The paper presents a pricing rule for market models with stochastic volatility and with an uncertainty in its evolution law. It is shown that the most common stochastic volatility models allow a possibility that the option price calculated for random volatility with an error in volatility forecasts is lower than the price for the market with zero error of volatility forecast. To eliminate this possibility, we suggest a pricing rule based on maximization of the price via a class of possible equivalent risk-neutral measures. It shown that, in a Markovian setting, this pricing rule requires to solve a parabolic Bellman equation. Some existence results and a priory estimates are obtained for this equation.

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