Quantitative analysis
Calibrating inflation
Cutting Edge: Inflation Models
Caja Segovia
Quant Analysis
Aviva
Quant Analysis
West Bromwich
Quant Analysis
Banco Cooperativo Espanol
Quant Analysis
Computation methods - Smoking adjoints: fast Monte Carlo Greeks
Monte Carlo calculation of price sensitivities for hedging is often very time- consuming. Michael Giles and Paul Glasserman develop an adjoint method to accelerate the calculation. The method is particularly effective in estimating sensitivities to a…
Inflation-indexed securities - Inflation with a smile
In the current inflation-indexed markets, most traded options have zero or even negative strikes. This highlights the need for a smile-consistent valuation of caps and floors on inflation rates. To this end, Fabio Mercurio and Nicola Moreni propose a…
Optimal allocation to hedge funds
Lionel Martellini and Mathieu Vaissie argue that it is only by taking into account the exact nature and composition of their existing portfolio that institutional investors can maximise the benefits they can expect from investing in hedge funds. To this…
Tips options in the Jarrow-Yildirim model
Marc Henrard proposes an explicit pricing formula for inflation bond options using the Jarrow-Yildirim model. The formula resembles that for coupon bond options in the Heath-Jarrow-Morton model
A practical operational risk scenario analysis quantification
Thomas Alderweireld, João Garcia and Luc Léonard define an operational risk scenario analysis and its quantification technique, leading to the determination of the loss distribution characteristics.
Bradford & Bingley
Quant Analysis
BCC Caravaggio
Quant Analysis
BNP Paribas
Quant Analysis
Credit Mutuel
Quant Analysis
Operational risk - Operational VAR: a closed-form approximation
Klaus Bocker and Claudia Kluppelberg investigate a simple loss-distribution model for operational risk. They show that, when loss data is heavy-tailed (which in practice it is), a simple closed-form approximation for operational value-at-risk (VAR) can…
A practical operational risk scenario analysis quantification
Thomas Alderweireld, João Garcia and Luc Léonard define an operational risk scenario analysis and its quantification technique, leading to the determination of the loss distribution characteristics. The method is based on simple questions put to…
Beyond Black-Litterman: views on non-normal markets
In normally distributed markets, the Black-Litterman technique allows managers to construct portfolios that account for their views on a set of expected returns. Attilio Meucci extends the Black-Litterman framework to generic market distributions and…
Quant analysis by StructuredRetailProducts.com
Quant analysis
Kleinwort Benson
Quant Analysis
Sparkasse Hannover
Quant Analysis
Fintro
Quant Analysis
Fortis Bank
Quant Analysis
Cutting edge - Omega portfolio construction with Johnson distributions
The omega risk-adjusted performance measure with Johnson distributions accounts comprehensively and non-discretionarily for the first potentially persistent moments including skewness and kurtosis. The Johnson-omega ratio thus overcomes the shortcomings…
An empirical analysis of equity default swaps (II): multivariate insights
Equity default swaps (EDSs) have attracted much attention recently because of their similarities to credit default swaps on the one hand and American-style digital puts on the other. Particular interest has focused on collateralised debt obligations…