Optimal Constrained Investment in the Cramer-Lundberg model
Tatiana Belkina, Christian Hipp, Shangzhen Luo, Michael Taksar

TL;DR
This paper analyzes an optimal investment strategy for an insurance company modeled by the Cramer-Lundberg process, considering constraints on risky asset investments, to minimize ruin probability, revealing complex policy behaviors influenced by model parameters.
Contribution
It introduces a constrained investment model within the Cramer-Lundberg framework and characterizes the optimal policy and ruin probability using HJB equations, highlighting novel counterintuitive strategies.
Findings
Optimal policies depend critically on model parameters.
Counterintuitive strategies like short-selling high-return stocks can be optimal.
Explicit characterization of ruin probabilities under constraints.
Abstract
We consider an insurance company whose surplus is represented by the classical Cramer-Lundberg process. The company can invest its surplus in a risk free asset and in a risky asset, governed by the Black-Scholes equation. There is a constraint that the insurance company can only invest in the risky asset at a limited leveraging level; more precisely, when purchasing, the ratio of the investment amount in the risky asset to the surplus level is no more than a; and when shortselling, the proportion of the proceeds from the short-selling to the surplus level is no more than b. The objective is to find an optimal investment policy that minimizes the probability of ruin. The minimal ruin probability as a function of the initial surplus is characterized by a classical solution to the corresponding Hamilton-Jacobi-Bellman (HJB) equation. We study the optimal control policy and its properties.…
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.
Taxonomy
TopicsProbability and Risk Models · Insurance, Mortality, Demography, Risk Management · Stochastic processes and financial applications
