"An efficient Bayesian Markov Chain Monte-Carlo method is developed to estimate the unknown parameters to address the computational complexity. Our empirical application to the mortality data collected for the Group of Seven (G7) nations demonstrates the efficacy of our approach."
This paper explores optimal insurance contracting for a decision maker facing ambiguous loss distributions. Using a p-Wasserstein ball...
This research examines how ESG performance impacts default probability (PD) in life and non-life insurance firms. Findings show that...
The study assesses the impact of Europe's Single Supervisory Mechanism on banks' balance sheets, finding that centrally supervised banks...
Commentaires