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Martingale representation in the enlargement of the filtration generated by a point process

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  • Di Tella, Paolo
  • Jeanblanc, Monique

Abstract

Let X be a point process and let X denote the filtration generated by X. In this paper we study martingale representation theorems in the filtration G obtained as an initial and progressive enlargement of the filtration X. The progressive enlargement is done here by means of a whole point process H. We do not require further assumptions on the point process H nor on the dependence between X and H. In particular, we recover the special case of the progressive enlargement by a random time τ.

Suggested Citation

  • Di Tella, Paolo & Jeanblanc, Monique, 2021. "Martingale representation in the enlargement of the filtration generated by a point process," Stochastic Processes and their Applications, Elsevier, vol. 131(C), pages 103-121.
    • Handle: RePEc:eee:spapps:v:131:y:2021:i:c:p:103-121
    DOI: 10.1016/j.spa.2020.09.008
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    References listed on IDEAS

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    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. Jeanblanc, Monique & Song, Shiqi, 2015. "Martingale representation property in progressively enlarged filtrations," Stochastic Processes and their Applications, Elsevier, vol. 125(11), pages 4242-4271.
    3. Fontana, Claudio, 2018. "The strong predictable representation property in initially enlarged filtrations under the density hypothesis," Stochastic Processes and their Applications, Elsevier, vol. 128(3), pages 1007-1033.
    4. Duffie, Darrell, 1986. "Stochastic Equilibria: Existence, Spanning Number, and the 'No Expected Financial Gain from Trade' Hypothesis," Econometrica, Econometric Society, vol. 54(5), pages 1161-1183, September.
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    Cited by:

    1. Antonella Calzolari & Barbara Torti, 2022. "A Note on the Strong Predictable Representation Property and Enlargement of Filtration," Mathematics, MDPI, vol. 10(10), pages 1-12, May.

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