首页> 外文会议>Seminar on Stochastic Analysis, Random Fields, and Applications >Optimal Investment-consumption for Partially Observed Jump-diffusions
【24h】

Optimal Investment-consumption for Partially Observed Jump-diffusions

机译:部分观测跳跃扩散的最优投资消耗

获取原文

摘要

We deal with an optimal consumption-investment problem under restricted information in a financial market where the risky asset price follows a non-Markovian geometric jump-diffusion process. We assume that agents acting in the market have access only to the information flow generated by the stock price and that their individual preferences are modeled through a power utility. We solve the problem with a two steps procedure. First, by using filtering results we reduce the partial information problem to a full information one involving only observable processes. Next, by using dynamic programming, we characterize the value process and the optimal-consumption strategy in terms of solution to a backward stochastic differential equation.
机译:在金融市场中,风险资产价格服从非马尔可夫几何跳-扩散过程,我们研究了一个约束信息下的最优消费投资问题。我们假设市场中的代理只能访问由股价产生的信息流,并且他们的个人偏好是通过一个电力效用来建模的。我们用两个步骤来解决这个问题。首先,通过使用过滤结果,我们将部分信息问题简化为只涉及可观测过程的完全信息问题。接下来,通过动态规划,我们用倒向随机微分方程的解来描述价值过程和最优消费策略。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号