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The Minimal Entropy Martingale Measures for Exponential Additive Processes

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  • Tsukasa Fujiwara

Abstract

In this paper, we will consider exponential additive processes as a financial market model. Under a mild condition, we will determine the minimal entropy martingale measures (MEMMs) for the exponential additive processes. To this end, we will prepare several results on the exponential moment of additive processes and integrals based on them. As an application of our result, we will deduce optimal strategy for exponential utility maximization problem. We will also investigate our result through several examples, such as time-dependent versions of double Poisson model, Merton model and Kou model. Copyright Springer Science+Business Media, LLC. 2009

Suggested Citation

  • Tsukasa Fujiwara, 2009. "The Minimal Entropy Martingale Measures for Exponential Additive Processes," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 16(1), pages 65-95, March.
    • Handle: RePEc:kap:apfinm:v:16:y:2009:i:1:p:65-95
    DOI: 10.1007/s10690-009-9087-3
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    References listed on IDEAS

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    6. Friedrich Hubalek & Carlo Sgarra, 2006. "Esscher transforms and the minimal entropy martingale measure for exponential Levy models," Quantitative Finance, Taylor & Francis Journals, vol. 6(2), pages 125-145.
    7. Yuri M. Kabanov & Christophe Stricker, 2002. "On the optimal portfolio for the exponential utility maximization: remarks to the six‐author paper," Mathematical Finance, Wiley Blackwell, vol. 12(2), pages 125-134, April.
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