Harnessing counterparty credit risk using the open source risk engine

Join our host Roland Stamm, Partner at Acadia’s Quantitative Services team alongside his colleague Joey O’Brien (Senior Consultant) as they explore the topic of Backtesting of Future Risk Factors. This discussion is inspired by a recent client engagement, focusing on the utilization of the Open-Source Risk Engine (ORE) library within a counterparty credit risk framework and the process of validating exposure simulation models. The whitepaper discussed can be found here (https://www.acadia.inc/insight/backtesting-of-future-risk-factors-march-2024-an-open-source-approach-to-validation-case-study) for more details.

 The conversation shifts to the broader regulatory landscape, touching on recent developments from the Bank of England and the increased scrutiny following high-profile defaults like Credit Suisse in 2022 and Archegos. They discuss the implications of Basel III and FRTB on standardized model and how ORE is placed to aid in this challenge, alongside the cost benefits of using open-source software within the Internal Models Method (IMM).

Listen time: 20 mins