Some Optimisation Problems in Insurance with a Terminal Distribution Constraint
Katia Colaneri, Julia Eisenberg, Benedetta Salterini

TL;DR
This paper explores optimal strategies for insurance companies to manage surplus under a terminal normal distribution constraint, including dividend payments and reinsurance, with explicit solutions in various settings.
Contribution
It provides explicit optimal strategies for dividend and reinsurance management under terminal distribution constraints, a novel approach in insurance optimization.
Findings
Explicit formulas for optimal dividend strategies in continuous and discrete time.
Analysis of reinsurance strategies to minimize ruin probability under VaR and ES constraints.
Comparison of strategies' effectiveness in different operational scenarios.
Abstract
In this paper, we study two optimisation settings for an insurance company, under the constraint that the terminal surplus at a deterministic and finite time follows a normal distribution with a given mean and a given variance. In both cases, the surplus of the insurance company is assumed to follow a Brownian motion with drift. First, we allow the insurance company to pay dividends and seek to maximise the expected discounted dividend payments or to minimise the ruin probability under the terminal distribution constraint. Here, we find explicit expressions for the optimal strategies in both cases: in discrete and continuous time settings. Second, we let the insurance company buy a reinsurance contract for a pool of insured or a branch of business. To achieve a certain level of sustainability (i.e. the collected premia should be sufficient to buy reinsurance and to pay the occurring…
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Taxonomy
TopicsProbability and Risk Models · Insurance, Mortality, Demography, Risk Management · Insurance and Financial Risk Management
