Credit risk modelling
This panel will discuss ways to allocate resources and minimize potential exposure with a set of analytical tools to assess, simulate and quantify operational risk capital to improve business efficiency and performance across the enterprise.
More Credit risk modelling articles
Volume 16, Issue 5 (2014)
This paper presents a framework in which many structural credit risk models can be made hybrid by randomizing the default trigger while keeping the capital structure intact. This produces random recovery...
Underlines growing strategic importance of infrastructure bonds and MBS, finds survey
Committee may introduce new floors on internal model outputs, after a report on RWAs for credit risk in the banking book found wide variations in bank practices
In current credit risk models, default probabilities and recovery rates are often treated independently. However, when the structural connection between these quantities is neglected, the risk of large...
Empirical findings and theoretical studies suggest that firms adjust toward timevarying target leverage ratios. This paper studies the performances of the default probabilities generated from two structural...
Beyond the big three
The sovereign specialist
Top quant says a CVA model that is 80% accurate but takes 20% of the time is "very attractive"
In response to industry fears of a collateral crunch, regulators have revised the proposed rules on margining for uncleared over-the-counter (OTC) derivatives.You can find out more by downloading this white paper here.