Optimally Investing to Reach a Bequest Goal
Erhan Bayraktar, Virginia R. Young

TL;DR
This paper derives the optimal investment strategy in a Black-Scholes market to maximize the probability of meeting a bequest goal at death, considering continuous consumption and different boundary conditions from prior goal-reaching problems.
Contribution
It introduces a novel approach to maximize the probability of reaching a bequest goal with continuous consumption, differing from previous models by setting the ruin level at zero and analyzing ongoing wealth dynamics.
Findings
Optimal investment strategy derived for maximizing bequest probability.
Comparison with Browne's goal-reaching problems highlights differences in boundary conditions.
Results show how investment strategies vary with consumption rate and bequest level.
Abstract
We determine the optimal strategy for investing in a Black-Scholes market in order to maximize the probability that wealth at death meets a bequest goal , a type of goal-seeking problem, as pioneered by Dubins and Savage (1965, 1976). The individual consumes at a constant rate , so the level of wealth required for risklessly meeting consumption equals , in which is the rate of return of the riskless asset. Our problem is related to, but different from, the goal-reaching problems of Browne (1997). First, Browne (1997, Section 3.1) maximizes the probability that wealth reaches before it reaches . Browne's game ends when wealth reaches . By contrast, for the problem we consider, the game continues until the individual dies or until wealth reaches 0; reaching and then falling below it before death does not count. Second, Browne (1997, Section 4.2)…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
