In this paper we analyze insurance demand when the utility function depends both upon final wealth and the level of … documented in real insurance markets. …

This paper presents a welfare analysis of several capital insurance programs in a rational expectation equilibrium … setting. We first explicitly characterize the equilibrium of each capital insurance program. Then, we demonstrate that a … capital insurance program based on aggregate loss is better than classical insurance, when big financial institutions have …

Business and credit cycles have an impact on credit insurance, as they do on other businesses. Nevertheless, in credit … insurance, the impact of the systemic risk is even more important and can lead to major losses during a crisis. Because of this … credit insurance. This paper proposes a model aiming to estimate future losses of a credit insurance portfolio, while taking …

We study risk-minimization for a large class of insurance contracts. Given that the individual progress in time of … visiting an insurance policy's states follows an F-doubly stochastic Markov chain, we describe different state-dependent types … of insurance benefits. These cover single payments at maturity, annuity-type payments and payments at the time of a …

We study the optimal insurance design problem. This is a risk sharing problem between an insured and an insurer. The … for the insurance cover. This risk-adjusted premium calculation principle uses the cost-of-capital approach as it is … suggested (and used) by the regulator and the insurance industry. …

selection problems. More specifically, a modified version of the normal constraint method is implemented with a global solver in … experiments are carried out on a set of portfolios to be optimized for an EU-based non-life insurance company. Both performance …

model, typically used during the technical pricing of a non-life insurance product. For the frequency model, the need of two … with the concept of exposure, which is the duration of a policy or insurance contract. Frequency data typically have a …

In insurance rate-making, the use of statistical machine learning techniques such as artificial neural networks (ANN …) is an emerging approach, and many insurance companies have been using them for pricing. However, due to the complexity of … model specification and its implementation, model explainability may be essential to meet insurance pricing transparency for …

This paper models the gradual elements of catastrophic events on non-life insurance capital with a particular focus on … types of insurance product. …