Optimal Expansion of Business Opportunity
Ling Wang, Kexin Chen, Mei Choi Chiu, Hoi Ying Wong

TL;DR
This paper models business expansion as an optimal stopping problem under uncertainty, deriving explicit solutions for when firms should expand their opportunities to maximize utility, with applications in investment and reinsurance.
Contribution
It introduces a novel stochastic control framework combining expansion and stopping decisions, providing explicit solutions for exponential utility and practical insights for strategic timing.
Findings
Expansion increases potential income and influences timing decisions.
Firms tend to wait before expanding unless opportunity costs are zero.
Waiting period length depends on opportunity cost, return, and risk.
Abstract
Any firm whose business strategy has an exposure constraint that limits its potential gain naturally considers expansion, as this can increase its exposure. We model business expansion as an enlargement of the opportunity set for business policies. However, expansion is irreversible and has an opportunity cost attached. We use the expected optimization of utility to formulate this as a novel stochastic control problem combined with an optimal stopping time, and we derive an explicit solution for exponential utility. We apply the framework to an investment and a reinsurance scenario. In the investment problem, the cost and incentives to increase the trading exposure are analyzed, while the optimal timing for an insurer to launch its reinsurance business is investigated in the reinsurance problem. Our model predicts that the additional income gained through business expansion is the key…
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.
