Value-at-risk (VAR)
The three flavours of VaR
Each of the three methods of calculating value-at-risk has its pros and cons. Brian Shydlo of Sirius Solutions examines them
Component VAR for a non-normal world
It has become standard to account for non-normality when estimating portfolio value-at-risk, but there are few methods available to calculate the risk contributions of each component in a non-normal portfolio. Brian Peterson and Kris Boudt present a…
Component VAR for a non-normal world
Market Risk
Valid Assumptions Required: backtesting
Given the large number of assumptions made in calculating a value-at-risk, how can we have confidence in the quality of the resulting calculation? Brett Humphreys looks at using backtesting to evaluate quality.
Valid Assumptions Required: Monte Carlo VaR
Brett Humphreys discusses the many decisions associated with the calculation of a Monte Carlo value-at-risk.
The year of living riskily
VAR Survey
Valid Assumptions Required: delta-normal VaR
A delta-normal value-at-risk is one of the basic tools of risk management. Brett Humphreys discusses the assumptions associated with this calculation.
Looking forward to back testing
With increasing challenges to measure value-at-risk and meet high regulatory requirements, the focus has turned to back testing as a way of assuring models' adequacy. Carsten S Wehn proposes a new regime of back testing, combining state-of-the-art…
Valid Assumptions Required: calculating correlations
Correlation measures are major drivers of value-at-risk. Brett Humphreys and Eric Raleigh review assumptions associated with calculating correlation.
Total control
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