Handbook of Financial Risk Management: Simulations and Case Studies

This authoritative handbook illustrates practical implementation of simulation techniques in the banking and financial industries through use of real-world, time-sensitive applications. Striking a balance between theory and practice, it demonstrates how simulation algorithms can be used to solve practical problems and showcases how accuracy and efficiency in implementing various simulation methods can be used as indispensable tools in risk management. It also covers topics such as volatility, fixed-income derivatives, LIBOR Market Models, risk measures, and includes over two-dozen recognized simulation models.

About the Author

N. H. CHAN is Choh-Ming Li Chair Professor of Statistics at The Chinese University of Hong Kong and Associate Editor of six journals. Dr. Chan is also the author of Time Series: Applications to Finance with R and S-Plus, Second Edition, published by Wiley.

H. Y. WONG is Associate Professor in the Risk Management Science Program of the Department of Statistics at The Chinese University of Hong Kong. His areas of interest include data analysis, statistical computing, risk management, and stochastic calculus.