Elements of Financial Risk Management

Other | September 1, 2003

byChristoffersen, Peter, Peter Christoffersen

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Elements of Financial Risk Management offers an introduction to modern risk management. It focuses on implementation, especially recent techniques which facilitate bridging the gap between standard textbooks on risk and real-life risk management systems.

It identifies key features of risk asset returns and captures them in tractable statistical models in the companion website. It presents step-by-step approaches as a means to solve problems.

This book is intended for three types of readers with an interest in financial risk management. First, Master's and Ph.D. students specializing in finance and economics. Second, market practitioners with a quantitative undergraduate or graduate degree. Third, a small group of advanced undergraduates majoring in either economics, engineering, finance, or another quantitative field.

The book will also suit those in financial engineering courses who have strong quantitative backgrounds and those in Ph.D. courses.



*Pinpoints key features of risk asset returns and captures them in tractable statistical models in the companion website *Presents step-by-step approaches as a means to solve problems *Visible patterns in the data motivate the choices of tools, and when tools fall short, it presents the next tool

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From the Publisher

Elements of Financial Risk Management offers an introduction to modern risk management. It focuses on implementation, especially recent techniques which facilitate bridging the gap between standard textbooks on risk and real-life risk management systems. It identifies key features of risk asset returns and captures them in tractable st...

Format:OtherDimensions:214 pages, 1 × 1 × 1 inPublished:September 1, 2003Publisher:Academic PressLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:0080472613

ISBN - 13:9780080472614

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Table of Contents

Risk Management and Financial Returns; Volatility Forecasting; Correlation Modeling; Modeling the Conditional Distribution; Simulation-Based Methods; Option Pricing; Modeling Option Risk; Backtesting and Stress Testing