We work on improving the integration of the non-stationary and multivariate nature of climate variables in the statistics field. Starting from the newly established mathematical framework, we allow non-life insurers to evaluate their risks pertaining to climate change by considering the inter-dependencies of risks.
We have developed an econometric modelling to analyze the determining factors (both exogenous and endogenous) impacting profitability and banking risks. Thereby interrogating the durability of the banking business models, formerly called “banking sustainability”, our work offers a new analytic framework to measure and anticipate impacts on the profitability and banking risk profile, depending on their specificities: retail bank, investment bank, mass retail bank, universal bank.
We are developing a model of an approach to understand the way in which business practices are applied in organizations. The program aims to model the best possible way to set people, teams and the eventually the whole organization in motion, and thereby lead the change depending on an organization’s practices and structure.
