Extremes and Integrated Risk Management

Introduction

Paul Embrechts

and

The Bell Curve is Wrong: So What

Paul Embrechts

BASIC EXTREME VALUE THEORY

1 Extreme Value Theory for Risk Managers

Alexander J. McNeil

2 Measuring Risk with Extreme Value Theory

Richard L. Smith

3 Adaptive Threshold Selection in Tail Index Estimation

Jan Beirlant and Gunther Matthys

4 Pitfalls and Opportunities in the Use of Extreme Value Theory in Risk Management

Francis X. Diebold, Til Schuermann and John D. Stroughair

5 Modelling Multivariate Extremes

Paul Embrechts, Laurens de Haan and Xin Huang

RISK MEASURES AND EXTREME VALUE THEORY

6 Correlation: Pitfalls and Alternatives

Paul Embrechts, Alex McNeil and Daniel Straumann

7 Thinking Coherently

Philippe Artzner, Freddy Delbaen, Jean-Marc Eber and David Heath

APPLICATIONS TO FINANCE

8 Value-at-Risk and Extreme Returns

Jon Danielsson and Casper G. de Vries

9 Reading the Riskometer

Alexander J. McNeil

10 Extreme Value Theory: An Empirical Analysis of Equity Risk

John Gavin

11 From Value at Risk to Stress Testing: the Extreme Value Approach

François M. Longin

12 Is it Really Long Memory We See in Financial Returns?

Catalin Starica and Thomas Mikosch

13 Multivariate Extremes for Foreign Exchange Data

Catalin Starica

14 Spill-overs in Financial Markets

Stefan Straetmans

15 Modelling and Measuring Operational Risk

Marcelo Cruz, Rodney Coleman and Gerry Salkin

APPLICATIONS TO INSURANCE

16 Extreme Value Statistics and Wind Storm Losses: A Case Study

Holger Rootzén and Nader Tajvidi

17 Bayesian Risk Analysis

Richard L. Smith and Dougal Goodman

18 Developing Scenarios for Future Extreme Losses Using the POT Method

Alexander J. McNeil and Thomas Saladin