Technical paper

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…

A joint state-space model for spot and futures power

Portfolio-wide risk management requires a model that accounts correctly for correlations between the spot asset and various futures products. Kjetil Kåresen and Egil Husby discuss a joint multi-factor model for power spot and futures prices and show how…

Avoiding pro-cyclicality

David Cosandey and Urs Wolf argue that, for small to medium-sized enterprises, Basel II is pro-cyclical because of a double-counting of the risks. They present two main directions for possible capital rules that would circumvent the pro-cyclicality…

Reconstructing volatility

Options on stock baskets have become a mainstay of the equity derivatives business, but pricing and hedging of such products is highly sensitive to implied volatility and correlation assumptions. Here, Marco Avellaneda, Dash Boyer-Olson, Jérôme Busca and…

Estimating oil price volatility: a Garch model

Nikolai Sidorenko, Michael Baron and Michael Rosenberg present a general framework for modelling energy price volatility. These models explain the volatility persistence and clustering present in many commodity prices. In addition, they can incorporate…

Component proponents

Principal component analysis is a widely used technique in finance but can be problematic when different data sets are grouped together. Christophe Pérignon and Christophe Villa show how to resolve this problem using a technique from biology called…

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