Modelling

Models of good behaviour

The development of new models that describe the real dynamics of energy prices have to take into account the behavioural aspects of market players. The problem is how to quantify these aspects. Maria Kielmas reports

Associations send repo VAR protest to Basel Committee

US and UK industry associations have sent a joint letter to the Basel Committee on Banking Supervision expressing their "disappointment" that the multipliers for portfolio value-at-risk modelling of repo counterparty exposure will not be altered in the…

Asian basket spreads and other exotic averaging options

Giuseppe Castellacci and Michael Siclari of OpenLink introduce a class of exotic options that simultaneously generalises both Asian and basket options. They develop approximate analytic models for real-time pricing of complex instruments that average…

A decision model for selling park and loan services

The park and loan model is useful for gas storages and pipelines. The concept can be applied to many ‘when to sell’-type decisions. Here, Huagang ‘Hugh’ Li considers selling park and loan services as a financial and statistical decision on revenue and…

Minimising extremes

Portfolio diversification often breaks down in stressed market environments, but the co-movement of asset prices in a tail risk regime may be modelled using a coefficient of tail dependence. Here, Yannick Malevergne and Didier Sornette show how such…

Sponsor's article > Basel II and pro-cyclicality

The main argument for making regulatory capital requirements more risk-sensitive is to improve allocational efficiency. But this may lead to intensified business cycles if regulators fail to take measures to prevent such an impact.

Credit model evaluation

With the new Basel Capital Accord scheduled for implementation in 2005, banks are having to evaluate the credit scoring models that will enable them to meet the minimum standards for Basel’s internal ratings-based (IRB) approach. Selecting an appropriate…

Op risk modelling evolves

Operational risk is devilishly difficult to model, but dealers and software vendors are making headway. Automated op risk reporting, profiling and sophisticated operational value-at-risk (VAR) modelling are finally beginning to catch-on in banks.

Modeling and measuring operational risk

Recent operational risk events such as occurred at Barings, Daiwa, Sumitomo, and other institutions show the importance of measuring and controlling such operational risk. In this paper the authors present a quantitative operational risk measurement…

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