Praise for the First Edition
"...a nice, self-contained introduction to simulation and computational techniques in finance..."
- Mathematical Reviews
Simulation Techniques in Financial Risk Management, Second Edition takes a unique approach to the field of simulations by focusing on techniques necessary in the fields of finance and risk management. Thoroughly updated, the new edition expands on several key topics in these areas and presents many of the recent innovations in simulations and risk management, such as advanced option pricing models beyond the Black-Scholes paradigm, interest rate models, MCMC methods including stochastic volatility models simulations, model assets and model-free properties, jump diffusion, and state space modeling. TheSecond Edition features also features:
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Ngai Hang Chan, PhD, is Choh-Min Li Chair Professor of Statistics of the Department of Statistics at The Chinese University of Hong Kong. An elected Fellow of the Institute of Mathematical Statistics and the American Statistical Association, Professor Chan is also the co-editor and associate editor of 8 journals and author of Time Series: Applications to Finance with R and S-Plus, Second Editionand Handbook of Financial Risk Management: Simulations and Case Studies, both also published by Wiley. His research interests include statistical finance, risk management, time series, econometrics, and stochastic modeling.
Hoi-Ying Wong, PhD, is Professor in the Risk Management Science Program of the Department of Statistics at The Chinese University of Hong Kong. Professor Wong is also associate editor of one journal and the author ofHandbook of Financial Risk Management: Simulations and Case Studies, also published by Wiley. His research interests include derivatives pricing, interest rate modeling, financial risk management, and statistical finance.
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