Technical paper/Risk management
Real-time counterparty credit risk management in Monte Carlo
Real-time counterparty credit risk management in Monte Carlo
Factors on demand
Linear factor models are commonly used by portfolio managers to capture sources of risk, traditionally split between systematic and idiosyncratic types. By using the conditional link between flexible bottom-up estimation, and top-down attribution, factor…
Factors on demand
Attilio Meucci introduces a multi-asset-class return decomposition framework that extends beyond the standard systematic-plus-idiosyncratic approach. This framework, which rests on the conditional link between flexible bottom-up estimation factor models…
Corporate risk management in European energy markets
Research Papers
Risk Management After Lehman
Can the constants used by quants and risk managers be trusted in the post-Lehman environment? Chris Schlegel of Southern Company looks at some of the pitfalls risk managers need to look out for when using constants and assesses why they are both vitally…
The saddlepoint method and portfolio optionalities
Richard Martin describes the application of saddlepoint methods to the calculation of tranche payouts and expected shortfall in loss distributions. Aside from computational use in their own right, the resulting formulas motivate a forthcoming discussion…
Generalising universal performance measures
Performance and risk measurement are fundamental quantitative activities in finance, andnew ways of measuring them are always of interest. A recently proposed procedure is theuniversal performance measure. Theofanis Darsinos and Stephen Satchell show…
Operational risk: a practitioner's view
The Basel Committee on Banking Supervision ("the Committee") released aconsultative document that included a regulatory capital charge for operationalrisk. Since the release of the document, the complexity of the concept of "operationalrisk" has led to…
Using Bayesian networks to predict op risk
By combining qualitative and quantitative data, Bayesian networks offer the perfect solution to the compelling need for an integrated approach to operational risk management, say Martin Neil and Ed Tranham.
Globalisation and equity index exposure
Equity diversification
Uncertain volatility
Market risk