Written for graduate students and professionals, Risk Management and Simulation introduces simulation modeling and computational techniques for solving risk management problems. The book contains extensive review questions and includes detailed quantitative and computational exercises. Topics include simulation, risk modeling, stochastic processes, risk management, and risk analysis.
MATLAB, Econometrics Toolbox, Financial Instruments Toolbox, Financial Toolbox, Optimization Toolbox, and Statistics and Machine Learning Toolbox are used to solve application examples. In addition, a supplemental set of MATLAB program files is available for download.