Jean-Philippe Bouchaud co-founded the company Science & Finance, which merged with Capital Fund Management (CFM) in 2000, where he now supervises the research team with Marc Potters. He teaches statistical mechanics and finance in various Grandes Écoles, and has worked at CRNS and CEA-Saclay. He was awarded the CRNS Silver Medal in 1996. Marc Potters has been Head of Research at CFM since 1998, where he supervises thirty physics PhD's. He has published numerous articles in the new field of statistical finance, in particular on Random Matrix Theory applied to portfolio management. He works on various concrete applications of financial forecasting, option pricing and risk control.

• Foreword; Preface; 1. Probability theory: basic notions; 2. Maximum and addition of random variables; 3. Continuous time limit, Ito calculus and path integrals; 4. Analysis of empirical data; 5. Financial products and financial markets; 6. Statistics of real prices: basic results; 7. Non-linear correlations and volatility fluctuations; 8. Skewness and price-volatility correlations; 9. Cross-correlations; 10. Risk measures; 11. Extreme correlations and variety; 12. Optimal portfolios; 13. Futures and options: fundamental concepts; 14. Options: hedging and residual risk; 15. Options: the role of drift and correlations; 16. Options: the Black and Scholes model; 17. Options: some more specific problems; 18. Options: minimum variance Monte-Carlo; 19. The yield curve; 20. Simple mechanisms for anomalous price statistics; Index of most important symbols; Index.

From reviews of the first edition: '… provides a very useful stepping stone to understand the limitations of the Black-Scholes world to that of a more generalized theory of financial markets … Bouchard and Potters will then provide the reader with an insight and generalization that they may otherwise miss with direct application of more 'traditional' theory to the financial markets. To the experienced reader of financial theory, the book provides a useful reminder of the limitations of traditional theories and a number of useful tools that can be used in the more generalized world of financial risk.' David A. Scott C. Math. FIMA, Mathematics Today