Quantitative analysis

Why be backward?

Originally developed as a tool for calibrating smile models, so-called forward methods can also be used to price options and derive Greeks. Here, Peter Carr and Ali Hirsa apply the technique to the pricing of continuously exercisable American-style put…

Coarse-grained CDOs

While analytical models of credit portfolio risk using conditional independence have been one of the most promising areas of recent research, they often involve granularity assumptions that are violated in CDO reference portfolios. Here, Michael Pykhtin…

Dealing with discrete dividends

Over the past year, we have published several papers on the issue of options on stocks with discrete dividends. At least three distinct models are used by practitioners, involving trade-offs between accuracy and tractability. Here, Remco Bos, Alexander…

The front-month proxy hedge

The front-month proxy hedge is a correlation-based hedge that seeks to neutralise the aggregate sensitivity of a portfolio to a futures curve by converting the individual futures hedges into a single hedge with respect to only the front-month contract…

Volatile volatilities

When pricing exotic interest rate derivatives, calibration of model parameters to vanilla cap or swaption prices can be especially time-consuming, especially if stochastic volatility is incorporated into the standard Libor market models or low…

Loan portfolio value

Using a conditional independence framework, Oldrich Vasicek derives a useful limiting form for the portfolio loss distribution with a single systematic factor. He then derives a risk-neutral distribution suitable for traded portfolios, and shows how…

Weather option pricing with transaction costs

The weather derivatives market is becoming more liquid, and dynamic hedging of weather options with weather swaps is now possible, though limited by transaction costs. Here Stephen Jewson investigates the effect of such hedging on option pricing

Loan portfolio value

Using a conditional independence framework, Oldrich Vasicek derives a useful limiting form for the portfolio loss distribution with a single systematic factor. He then derives a risk-neutral distribution suitable for traded portfolios, and shows how…

Unsystematic credit risk

Although Basel has shifted its treatment of unsystematic credit risk from the first, capital rules pillar (where it was called the 'granularity adjustment') to the second, supervisory pillar of the forthcoming Accord, this issue is of great practical…

Unsystematic credit risk

Although Basel has shifted its treatment of unsystematic credit risk from the first, capital rules pillar (where it was called the ‘granularity adjustment’) to the second, supervisory pillar of the forthcoming Accord, this issue is of great practical…

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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