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The minimal entropy martingale measure in a market of traded financial and actuarial risks

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  • Dhaene, Jan
  • Stassen, Ben
  • Devolder, Pierre
  • Vellekoop, Michel

Abstract

In arbitrage-free but incomplete markets, the equivalent martingale measure Q for pricing traded assets is not uniquely determined. A possible approach when it comes to choosing a particular pricing measure is to consider the one that is ‘closest’to the physical probability measure P, where closeness is measured in terms of relative entropy. In this paper, we determine the minimal entropy martingale measure in a market where securities are traded with payoffs depending on two types of risks, which we will call financial and actuarial risks, respectively. In case only purely financial and purely actuarial securities are traded, we prove that financial and actuarial risks are independent under the physical measure if and only if these risks are independent under the entropy measure. Moreover, in such a market the entropy measure of the combined financial-actuarial world is the product measure of the entropy measures of the financial and the actuarial subworlds, respectively.
(This abstract was borrowed from another version of this item.)
(This abstract was borrowed from another version of this item.)
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Dhaene, Jan & Stassen, Ben & Devolder, Pierre & Vellekoop, Michel, 2015. "The minimal entropy martingale measure in a market of traded financial and actuarial risks," LIDAM Reprints ISBA 2015014, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    • Handle: RePEc:aiz:louvar:2015014
    Note: In : Journal of Computational and Applied Mathematics, vol. 282, p. 111-133 (2015)
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    Cited by:

    1. Gupta, Aparna & Palepu, Sai, 2024. "Designing risk-free service for renewable wind and solar resources," European Journal of Operational Research, Elsevier, vol. 315(2), pages 715-728.
    2. Yuan Hu & Abootaleb Shirvani & W. Brent Lindquist & Frank J. Fabozzi & Svetlozar T. Rachev, 2020. "Option Pricing Incorporating Factor Dynamics in Complete Markets," JRFM, MDPI, vol. 13(12), pages 1-33, December.
    3. José L. Vilar-Zanón & Olivia Peraita-Ezcurra, 2019. "A linear goal programming method to recover risk neutral probabilities from options prices by maximum entropy," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 42(1), pages 259-276, June.
    4. Yuan Hu & Abootaleb Shirvani & W. Brent Lindquist & Frank J. Fabozzi & Svetlozar T. Rachev, 2020. "Option Pricing Incorporating Factor Dynamics in Complete Markets," Papers 2011.08343, arXiv.org.
    5. Arık, Ayşe & Uğur, Ömür & Kleinow, Torsten, 2023. "The impact of simultaneous shocks to financial markets and mortality on pension buy-out prices," ASTIN Bulletin, Cambridge University Press, vol. 53(2), pages 392-417, May.
    6. Dhaene, Jan & Stassen, Ben & Barigou, Karim & Linders, Daniël & Chen, Ze, 2017. "Fair valuation of insurance liabilities: Merging actuarial judgement and market-consistency," Insurance: Mathematics and Economics, Elsevier, vol. 76(C), pages 14-27.

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