{"id":68034,"date":"2026-05-18T18:58:59","date_gmt":"2026-05-18T16:58:59","guid":{"rendered":"https:\/\/swissgrc.com\/en\/?post_type=webinar&p=68034"},"modified":"2026-10-15T17:45:13","modified_gmt":"2026-10-15T15:45:13","slug":"modern-approaches-to-risk-quantification-how-stochastics-and-simulation-make-the-future-tangible","status":"publish","type":"webinar","link":"https:\/\/swissgrc.com\/en\/webinar\/modern-approaches-to-risk-quantification-how-stochastics-and-simulation-make-the-future-tangible\/","title":{"rendered":"Modern approaches to risk quantification: How stochastics and simulation make the future tangible"},"content":{"rendered":"\r\n

How can organizations make risks more tangible and enable sound decision-making under uncertainty? Modern approaches to risk quantification go far beyond traditional heat maps and subjective assessments. By leveraging stochastic methods, simulations, and quantitative models, organizations can assess risks more transparently, simulate scenarios, and strengthen data-driven strategic decision-making.<\/p>\r\n\r\n\r\n\r\n

In this webinar, Florian Worm<\/strong>, Founder & Managing Director of Volatilis<\/a> GmbH, Prof. Dr. Stefan Hunziker<\/strong>, Professor of Risk Management and Head Competence Center Risk & Compliance Management at Lucerne University of Applied Sciences and Arts, as well as Nikolai Tsenov<\/strong>, Head Solutions & Innovation at Swiss GRC<\/a>, will explore modern approaches to risk quantification and demonstrate how quantitative methods are already being successfully applied in corporate management and decision-making processes.<\/p>\r\n\r\n\r\n\r\n

The session will combine academic perspectives with practical business applications, ranging from the fundamentals of stochastic modeling to the use of quantitative methods in the boardroom. Participants will also gain insights into how modern risk quantification and simulation approaches can be integrated within the GRC Toolbox to support informed and data-driven decisions. Key topics include:<\/p>\r\n\r\n\r\n\r\n