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Quantitative analysis

A short cut to the rainbow

Per Horfelt designs an efficient and accurate method to price many popular multi-asset options such as options on the minimum and maximum of several assets and podiums. The method is based on a modification of the conditional independence model and is…

Looking forward to back testing

With increasing challenges to measure value-at-risk and meet high regulatory requirements, the focus has turned to back testing as a way of assuring models' adequacy. Carsten S Wehn proposes a new regime of back testing, combining state-of-the-art…

Valuing CDOs of ABSs

Charles Smithson and Neil Pearson discuss the valuation of collateralised debt obligations (CDOs), with a close look at CDOs of subprime residential mortage-backed securities

Counterparty risk and CCDSs under correlation

Counterparty risk under correlation is relatively unexplored in the financial literature. Damiano Brigo and Andrea Pallavicini extend previous analysis beyond swap portfolios. A stochastic-intensity jump-diffusion model is adopted for the default event,…

Vix option pricing in a jump-diffusion model

Artur Sepp discusses Vix futures and options and shows that their market prices exhibit positive volatility skew. To better model the market behaviour of the S&P 500 index and its associated volatility skew, he introduces the stochastic dynamics of the…

Information derivatives

Andrei Soklakov considers the problem of creating derivatives to provide tailored exposure to volatility risk. Information theory leads us to a whole class of such products. This class of 'information derivatives' includes the standard volatility…

Geometric mean variance

It is argued that a constrained mean variance framework is superior to Black-Litterman asset allocation, and can help an investor determine the mean excess return vector given their market views

Confidence intervals for corporate default rates

Rating agency default studies provide estimates of mean default rates over multiple time horizons but have never included estimates of the standard errors of the estimates. This is due at least in part to the challenge of accounting for the high degree…

The determinants of corporate credit spreads

Credit default swaps (CDSs) are an integral tool used for the management of credit risk by financial institutions. Despite their importance, good models for the determination of CDS spreads, also called corporate credit spreads, are not readily available…

Factor models for credit correlation

Stewart Inglis and Alex Lipton describe dynamic and static factor models for credit correlation, and show how the static model can be calibrated to the market and used for the pricing of standard and bespoke tranches, including tranchelets

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