报告人:李迅
报告地点:腾讯会议ID:363 679 947
报告时间:2021年05月19日星期三11:00-12:00
邀请人:魏庆萌
报告摘要:
This work studies the infinite horizon optimal consumption with a path-dependent reference under the exponential utility. The performance is measured by the difference between the non-negative consumption rate and a fraction of the historical consumption maximum. The consumption running maximum process is chosen as an auxiliary state process that renders the value function two dimensional. The Hamilton-Jacobi-Bellman (HJB) equation can be heuristically expressed in a piecewise manner across different regions to takeinto account all constraints. By employing the dual transform and smooth-fit principle, some thresholds of the wealth variable are derived such that the classical solution to the HJB equation and the feedback optimal investment and consumption strategies can be obtained in the closed form in each region. The complete proof of the verification theorem is provided and numerical examples are presented to shed light on some financial implications.
主讲人简介:
Xun Li, the professor of the Hong Kong Polytechnic University. His main research areas are stochastic control and applied probability with financial applications, and he has published in journals such as SIAM Journal on Control and Optimization, Annals of Applied Probability, IEEE Transactions on Automatic Control, Automatica, Mathematical Finance, Journal of Differential Equations, and Quantitative Finance.