Risk and Financial Management – Mathematical and Computational Methods

• Provides a comprehensive introduction to the core topics of risk and financial management.
• Adopts a pragmatic approach, focused on computational, rather than just theoretical, methods.
• Bridges the gap between theory and practice in financial risk management
• Includes coverage of utility theory, probability, options and derivatives, stochastic volatility and value at risk.
• Suitable for students of risk, mathematical finance, and financial risk management, and finance practitioners.
• Includes extensive reference lists, applications and suggestions for further reading.

Risk and Financial Management: Mathematical and Computational Methods is ideally suited to both students of mathematical finance with little background in economics and finance, and students of financial risk management, as well as finance practitioners requiring a clearer understanding of the mathematical and computational methods they use every day. It combines the required level of rigor, to support the theoretical developments, with a practical flavour through many examples and applications.

Charles S. Tapiero is the Topfer Distinguished Professor of Financial Engineering and Technology Management at the New York University Polytechnic Institute. He is also Chair and founder of the Department of Finance and Risk Engineering, as well as cofounder and co-Editor in Chief of Risk and Decision Analysis.