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arXiv 2302.08253q-fin.MFmath.PR
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跳跃扩散模型中效用最大化的正倒向偏微分方程组

Forward Backward SDEs Systems for Utility Maximization in Jump Diffusion Models

Marina Santacroce, Paola Siri, Barbara Trivellato

摘要:

在一个简单的跳扩散模型中,考虑了在最终负债为随机负债的情况下,终端净财富的期望效用最大化的经典问题。根据Horst et al.(2014)和Santacroce-Trivellato(2014)的精神,在适当的条件下,最优策略以前向后向方程组的隐式形式表示。对于纯跳跃模型和指数效用模型,给出了一些明确的结果。

英文摘要:

We consider the classical problem of maximizing the expected utility of terminal net wealth with a final random liability in a simple jump-diffusion model. In the spirit of Horst et al. (2014) and Santacroce-Trivellato (2014), under suitable conditions the optimal strategy is expressed in implicit form in terms of a forward backward system of equations. Some explicit results are presented for the pure jump model and for exponential utilities.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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