Articles about Prometeia
Boosting regulatory assessment with GenAI: Prometeia’s use case for credit risk models
Prometeia’s GenAI tool provides institutions with the technology to remain competitive and compliant in a complex regulatory environment
Machine learning and AI in model risk management: a quant perspective
Statistical risk models face issues of validity as unprecedented events and social phenomena occur. However, artificial intelligence (AI) and machine learning can assist models in maximising accuracy. By Tiziano Bellini, head of risk integration…
Counterparty credit risk: special report 2022
This Risk.net special report contains a collection of articles that consider the impact of SA-CCR and how banks are adapting to the new regime, as well as the challenges of managing counterparty credit risk and reducing the cost of trading over-the…
Project finance risk methodologies
Federico Tacchetto, senior manager at Prometeia, describes how to calculate risk parameters for project finance exposures. Based on a simulation approach of the cashflows, it is assessed whether the generated net revenue will be sufficient to repay the…
Hints on quantification approaches
Tiziano Bellini, head of risk integration competence line, international markets at Prometeia, examines the key components of successful model risk management, focusing on the importance of integration, processes, governance and IT solutions to…
As Covid snaps credit models, lenders turn to stress-testing
Banks enlist scenario analysis to bolster creaking default models
Lenders reveal struggles over IFRS 9 roll-out
Size of task caught some banks unawares, leading to botched home-grown systems or data problems
Leading the way in the risk management (r)evolution
Sponsored feature: Prometeia
Risk software survey 2015: speed, compliance and valuation
Regulatory change drives innovation, with valuation, centralisation and speed taking centre stage