Quantitative analysis

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…

World Cup trades hit fever pitch

As the dust settles on the World Cup and those that bought televisions on the basis that their national football team would win the tournament wonder how to match their rash expenditure with reality, Richard Jory reviews the copious research supporting…

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…

A new direction for weather derivatives

Specialised quanto products are now driving demand in the weather derivatives markets. Alex Davis looks at why this is the case, and how improvements in data provision are making this possible

Expanded smiles

Implementing models with stochastic as well as deterministic local volatility can be challenging. Here, Jesper Andreasen and Brian Huge describe an expansion approach for such models that avoids the high-dimensional partial differential equations usually…

A dynamic model for leveraged funds

Guido Giese derives a model for the performance and Sharpe ratio of leveraged and inverse index funds that follow a dynamic leveraged trading strategy, that is, they are rebalanced on a daily basis to ensure a constant degree of leverage with respect to…

A dynamic model for correlation

Equity markets have experienced a significant increase in correlation during the crisis, resulting in exotic derivatives portfolios realising large losses. As larger correlations in downward scenarios are already implied in the index option market in the…

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