Financial risk management has become a popular practice amongst
financial institutions to protect against the adverse effects of
uncertainty caused by fluctuations in interest rates, exchange
rates, commodity prices, and equity prices. New financial
instruments and mathematical techniques are continuously developed
and introduced in financial practice. These techniques are being
used by an increasing number of firms, traders and financial risk
managers across various industries. "Risk and Financial Management:
Mathematical and Computational Methods" confronts the many issues
and controversies, and explains the fundamental concepts that
underpin financial risk management. 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
practicalflavour through many examples and applications.
General
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