Value-at-risk (VAR)

Confidence in controlling risk measures

Insurers increasingly use stochastic simulation approaches for estimating risk capital, but numerical errors are rarely measured. A control variate method can improve the accuracy dramatically without increasing the number of simulations.

Energy Risk Europe 2010

Energy Risk's 2010 annual Europe conference brought leading chief risk officers, quantitative analysts and regulators to London to discuss key risk management issues

Assessment of longevity risk under Solvency II

As the implementation of Solvency II looms, the calibration of the standard formula remains a controversial issue as the industry runs the fifth quantitative impact study. But the current design overshoots the one in 200 year confidence level.

Understanding value at risk for insurers

Deborah Cernauskas, Gabriel David and Anthony Tarantino propose an amended approach to value-at-risk that focuses on the drivers of risk and the use of agent-based modelling and simulation to capture the bounded rationality of human decision-making

Asia Risk 15: Kenji Fujii, Mizuho Securities

Japanese financial institutions have faced severe tests during the past 15 years including rogue trading scandals, huge non-performing loans and a need to adopt aggressive regulatory rules. Kenji Fujii maps out these challenges and indicates how they…

How to make VAR go voom

An amended approach to value-at-risk that focuses on the drivers of risk and the use of agent-based modelling and simulation to capture the bounded rationality of human decision-making

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