NEW YORK, NY--(Marketwire - Sep 26, 2012) - Errors in financial models that banks use on a daily basis could lead to tremendous financial and non-financial losses. It is crucial for banks to ...

The PRA’s new supervisory statement extends banks’ model risk management obligations “across all models” - not just capital and stress testing. What steps must banks take to comply? Despite last ...

Every big bank has a risk management team whose job it is to keep the banks out of trouble. The teams use complex computers to guide the banks away from financial danger. But as the global credit ...

Regulators around the world differ in their approach to model risk management (MRM) regulation – including their definitions of what a model is. While some are more prescriptive, others such as the UK ...

Newest addition to Experian Assistant product family allows financial institutions to document, validate and monitor models with speed, transparency and audit-readiness “Manual documentation, siloed ...

More than a third of banks still do not quantitatively assess the impact of climate risk on credit portfolios, the findings of Risk.net ’s Climate Risk Benchmarking study show, despite some ...

The desire among financial institutions to better mitigate risk gained renewed prominence as a result of the financial crisis of 2008. Subsequent regulatory and governance requirements fostered ...

Effective risk attribution should be directly aligned with the underlying investment process to ensure relevance and actionable insights. Our research demonstrates how risk attribution can be aligned ...

In the dynamic landscape of decentralized finance (DeFi), risk management is the bedrock upon which sustainable lending protocols are built. The challenge lies in finding the delicate balance between ...

As banks race to adopt artificial intelligence, a debate is raging within the industry over how AI risks should be managed. Banks generally fall into one of two camps: those that treat AI as a model ...

Previous research has shown that patients discharged against medical advice are twice as likely to die and 10 times more likely to overdose. Risk prediction models may help clinicians identify ...