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A martingale representation theorem and valuation of defaultable securities

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  • Tahir Choulli
  • Catherine Daveloose
  • Mich`ele Vanmaele

Abstract

We consider a market model where there are two levels of information. The public information generated by the financial assets, and a larger flow of information that contains additional knowledge about a random time. This random time can represent many economic and financial settings, such as the default time of a firm for credit risk, and the death time of an insured for life insurance. By using the expansion of filtration, the random time uncertainty and its entailed risk are fully considered without any mathematical restriction. In this context with no model's specification for the random time, the main challenge lies in finding the dynamics and the structures for the value processes of defaultable or mortality and/or longevity securities which are vital for the insurance securitization. To overcome this obstacle, we elaborate our optional martingale representation results, which state that any martingale in the large filtration stopped at the random time can be decomposed into precise and unique orthogonal local martingales (i.e. local martingales whose product remains a local martingale). This constitutes our first and probably the principal contribution. Even though the driving motivation for this representation resides in credit risk theory, our results are applicable to several other financial and economics contexts, such as life insurance and financial markets with random horizon. Thanks to this optional representation, we decompose any defaultable or mortality and/or longevity liability into the sum of "non-correlated" risks using a risk basis. This constitutes our second contribution.

Suggested Citation

  • Tahir Choulli & Catherine Daveloose & Mich`ele Vanmaele, 2015. "A martingale representation theorem and valuation of defaultable securities," Papers 1510.05858, arXiv.org, revised May 2018.
    • Handle: RePEc:arx:papers:1510.05858
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    References listed on IDEAS

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    1. Dahl, Mikkel & Moller, Thomas, 2006. "Valuation and hedging of life insurance liabilities with systematic mortality risk," Insurance: Mathematics and Economics, Elsevier, vol. 39(2), pages 193-217, October.
    2. Anna Aksamit & Tahir Choulli & Jun Deng & Monique Jeanblanc, 2013. "Non-Arbitrage up to Random Horizon for Semimartingale Models," Papers 1310.1142, arXiv.org, revised Feb 2014.
    3. Christophette Blanchet-Scalliet & Monique Jeanblanc, 2004. "Hazard rate for credit risk and hedging defaultable contingent claims," Finance and Stochastics, Springer, vol. 8(1), pages 145-159, January.
    4. Biagini, Francesca & Rheinländer, Thorsten & Widenmann, Jan, 2013. "Hedging Mortality Claims With Longevity Bonds," ASTIN Bulletin, Cambridge University Press, vol. 43(2), pages 123-157, May.
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    Cited by:

    1. Di Tella, Paolo, 2020. "On the weak representation property in progressively enlarged filtrations with an application in exponential utility maximization," Stochastic Processes and their Applications, Elsevier, vol. 130(2), pages 760-784.
    2. Ceci, Claudia & Colaneri, Katia & Cretarola, Alessandra, 2017. "Unit-linked life insurance policies: Optimal hedging in partially observable market models," Insurance: Mathematics and Economics, Elsevier, vol. 76(C), pages 149-163.
    3. Tahir Choulli & Catherine Daveloose & Mich`ele Vanmaele, 2018. "Mortality/longevity Risk-Minimization with or without securitization," Papers 1805.11844, arXiv.org.

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