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Linear Volterra backward stochastic integral equations

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  • Hu, Yaozhong
  • Øksendal, Bernt

Abstract

We present an explicit solution triplet (Y,Z,K) to the backward stochastic Volterra integral equation (BSVIE) of linear type, driven by a Brownian motion and a compensated Poisson random measure. The process Y is expressed by an integral whose kernel is explicitly given. The processes Z and K are expressed by Hida–Malliavin derivatives involving Y.

Suggested Citation

  • Hu, Yaozhong & Øksendal, Bernt, 2019. "Linear Volterra backward stochastic integral equations," Stochastic Processes and their Applications, Elsevier, vol. 129(2), pages 626-633.
    • Handle: RePEc:eee:spapps:v:129:y:2019:i:2:p:626-633
    DOI: 10.1016/j.spa.2018.03.016
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    References listed on IDEAS

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    1. Jan Ubøe & Bernt Øksendal & Knut Aase & Nicolas Privault, 2000. "White noise generalizations of the Clark-Haussmann-Ocone theorem with application to mathematical finance," Finance and Stochastics, Springer, vol. 4(4), pages 465-496.
    2. Nacira Agram & Bernt Øksendal, 2015. "Malliavin Calculus and Optimal Control of Stochastic Volterra Equations," Journal of Optimization Theory and Applications, Springer, vol. 167(3), pages 1070-1094, December.
    3. Yong, Jiongmin, 2006. "Backward stochastic Volterra integral equations and some related problems," Stochastic Processes and their Applications, Elsevier, vol. 116(5), pages 779-795, May.
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