Value-at-risk (VAR)

Where the buck stops

Risk management units alone cannot avoid the damage from periodic bouts of irrational exuberance. That responsibility lies with the chief executive, argues David Rowe

VAR exceptions reflect volatile season

Investment banks reported increased numbers of high trading losses in the third quarter of this year, highlighting the volatility in the financial markets and casting doubt on their risk modelling.

Standing on the threshold

A 'one distribution fits all' approach is not the best option for op risk models. Carsten Steinhoff and Rainer Baule explain why a tailor-made model is therefore vital to the accuracy of loss distribution models

Cracking VAR with kernels

Value-at-risk analysis has become a key measure of portfolio risk in recent years, but how can we calculate the contribution of some portfolio component? Eduardo Epperlein and Alan Smillie show how kernel estimators can be used to provide a fast,…

Operational VAR: meaningful means

Making the assumption that the distribution of operational loss severity has finite mean, Klaus Böcker and Jacob Sprittulla suggest a refined version of the analytical operational value-at-risk theorem derived in Böcker & Klüppelberg (2005), which…

Dealing with seller's risk

The risk of trade receivables securitisations comes from both the pool of assets and the seller of the assets. Vivien Brunel develops a model for securitisation exposures that deals with both risks, and analyses in detail the interplay between debtors'…

You need to sign in to use this feature. If you don’t have a Risk.net account, please register for a trial.

Sign in
You are currently on corporate access.

To use this feature you will need an individual account. If you have one already please sign in.

Sign in.

Alternatively you can request an individual account here