Motivated by insurance applications, we propose a new approach for the validation of real-world economic scenarios. This approach is based on the statistical test developed by Chevyrev and Oberhauser (2022) and relies on the notions of signature and maximum mean distance. This test allows to check whether two samples of stochastic processes paths come from the same distribution. Our contribution is to apply this test to a variety of stochastic processes exhibiting different pathwise properties (Hölder regularity, autocorrelation, and regime switches) and which are relevant for the modelling of stock prices and stock volatility as well as of inflation in view of actuarial applications.


Speaker: Hervé Andrès
Session Moderator: Łukasz Delong

In this concluding session of our three-part series, our speakers will explore recent developments in insurance solvency regulations across Asia, focusing on Japan’s Economic Value-Based Solvency Regulation (ESR) and Korea’s K-ICS. We will examine the design, implementation status, and key challenges of each framework. In Japan, preparations are underway for the implementation of ESR in the fiscal year ending March 2026, with key issues including strengthening governance, managing interest rate risk, and enhancing disclosure practices. In contrast, Korea has already adopted K-ICS, facing practical challenges such as alignment with IFRS 17 and disparities in company readiness. The session will also discuss how both systems align with international capital standards (ICS) and the strategic responses required from insurers. It will provide practical insights for industry professionals navigating this period of regulatory transition.