Technical paper/Value-at-risk (VAR)

Operational VAR: a closed-form approximation

Klaus Böcker and Claudia Klüppelberg investigate a simple loss distribution model for operational risk. They show that, when loss data is heavy-tailed (which in practice it is), a simple closed-form approximation for operational VAR can be obtained. They…

Time for multi-period capital models

Several financial institutions use single-period models to determine their credit portfolio lossdistribution, calculate their loss volatility and assign economic capital. Here, Kevin Thompson,Alistair McLeod, Panayiotis Teklos and Shobhit Gupta…

A Markovian approach to modelling correlated defaults

Vladyslav Putyatin, David Prieul and Svetlana Maslova unveil a simple dynamic binomial credit model with a Poissonian mixing distribution to satisfy the constraints faced by financial institutions assessing their credit exposure in a consistent manner…

Understanding the expected loss debate

The final draft of the new global Accord on bank regulatory capital – Basel II – has been delayed. A critical and unresolved issue is whether banks should include expected losses in their measure of credit risk. The IMF's Paul Kupiec reports on efforts…

Using the grouped t-copula

Student-t copula models are popular, but can be over-simplistic when used to describe credit portfolios where the risk factors are numerous or dissimilar. Here, Stéphane Daul, Enrico De Giorgi, Filip Lindskog and Alexander McNeil construct a new,…

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