Model risk
OpRisk North America: Crisis highlighted op risk model failures, says Adachi
Model risk emerged as a key lesson from the crisis – and a significant variation in op risk modelling approaches exists today, says Sigor chair
Solvency II modelling could cause systemic risk, industry warns
Industry experts warn uniform modelling under Solvency II could lead to risk contagion
Bayesian lessons for payout structuring
Bayesian lessons for payout structuring
Data governance under the regulatory microscope
Consolidation process
Validating interest rate models under Solvency II
With Solvency II fast approaching, obtaining approval for your internal model is increasingly important. A key part of this process will be to demonstrate the ability of the model’s scenario generation to describe the evolution of interest rates…
Beyond distributional analysis
In the third article in a four-part series, David Rowe considers the need for financial risk management to move beyond distributional analysis to consider more qualitative inputs
It's NOT the econometrics, stupid
Risk modelling has come under the microscope since the onset of the crisis, with many blaming market risk models for exacerbating the crisis. Elizabeth Sheedy presents a defence of quantitative techniques
Tails of the unexpected
Credit Models
The top 10
OpRisk & Compliance outlines the top 10 challenges readers and their firms will face in 2008. By David Benyon, with additional reporting by Ellen Davis
A call to action
The global credit crunch shows just how much the world's financial services firms need to raise their game when it comes to risk management, says Charles Dallara, managing director of the Institute for International Finance. By Ellen Davis
Questioning the numbers
Model risk has become a key focus for financial institutions. But how do dealers ensure their models are implemented correctly and that they accurately reflect the risks an institution is running? By Laurence Neville
Breaking down the model
Brett Humphreys and Andy Dunn outline a method to help energy companies minimise potential model risk and thereby avoid costly errors in valuing deals.
Breaking down the model
Brett Humphreys and Andy Dunn outline a method to help energy companies minimise potential model risk and thereby avoid costly errors in valuing deals