Financial Risk Manager Handbook, 4th Edition

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Edition: 4th
Format: Paperback
Pub. Date: 2007-06-01
Publisher(s): Wiley
List Price: $170.00

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Summary

An essential guide to financial risk management and the only way to get a great overview of the subjects covered in the GARP FRM ExamThe Financial Risk Management Exam (FRM Exam) is given by the Global Association of Risk Professionals (GARP) annually in November for risk professionals who want to earn FRM(r) certification. The Financial Risk Manager Handbook, Fourth Edition is the definitive guide for those preparing to take the FRM Exam as well as a valued working reference for risk professionals. Written with the full support of GARP, and containing questions and solutions from previous exams, this book is a valuable resource for professionals responsible for or associated with financial risk management.

Author Biography

Philippe Jorion is Professor of Finance at the Paul Merage School of Business at the University of California at Irvine. He holds an MBA and a PhD from the University of Chicago and a degree in engineering from the University of Brussels. Dr. Jorion has authored more than eighty publications—directed towards academics and practitioners—on the topic of risk management and international finance. He is on the editorial board of a number of financial journals and was editor of the Journal of Risk. He has won the Smith Breeden Prize for research, the William F. Sharpe Award for Scholarship in Financial Research, and the Graham and Dodd Scroll Award. He has written the first three editions of Financial Risk Manager Handbook (Wiley), as well as Financial Risk Management: Domestic and International Dimensions; Big Bets Gone Bad: Derivatives and Bankruptcy in Orange County; and Value at Risk: The New Benchmark for Managing Financial Risk.

Table of Contents

Introduction
Quantitative Analysis
Bond Fundamentals
Discounting, Present, and Future Value
Price-Yield Relationship
Bond Price Derivatives
Important Formulas
Answers to Chapter Examples
Appendix
Fundamentals of Probability
Characterizing Random Variables
Multivariate Distribution Functions
Functions of Random Variables
Important Distribution Functions
Limit Distributions
Important Formulas
Answers to Chapter Examples
Appendix
Fundamentals of Statistics
Real Data
Parameter Estimation
Regression Analysis
Important Formulas
Answers to Chapter Examples
Monte Carlo Methods
Simulations with One Random Variable
Implementing Simulations
Multiple Sources of Risk
Important Formulas
Answers to Chapter Examples
Capital Markets
Introduction to Derivatives
Overview of Derivatives Markets
Forward Contracts
Futures Contracts
Swap Contracts
Important Formulas
Answers to Chapter Examples
Options
Option Payoffs
Option Premiums
Valuing Options
Other Option Contracts
Valuing Options by Numerical Methods
Important Formulas
Answers to Chapter Examples
Fixed-Income Securities
Overview of Debt Markets
Fixed-Income Securities
Analysis of Fixed-Income Securities
Spot and Forward Rates
Prepayment
Securitization
Important Formulas
Answers to Chapter Examples
Fixed-Income Derivatives
Forward Contracts
Futures
Swaps
Options
Important Formulas
Answers to Chapter Examples
Equity, Currency, and Commodity Markets
Equities
Convertible Bonds and Warrants
Equity Derivatives
Currency Markets
Currency Swaps
Commodities
Important Formulas
Answers to Chapter Examples
Market Risk Management
Introduction to Market Risk Measurement
Introduction to Financial Market Risks
VAR as a Downside Risk Measure
VAR Parameters
Elements of VAR Systems
Stress-Testing
Liquidity Risk
Important Formulas
Answers to Chapter Examples
Appendix
Sources of Market Risk
Sources of Loss: A Decomposition
Currency Risk
Fixed-Income Risk
Equity Risk
Commodity Risk
Risk Simplification
Important Formulas
Answers to Chapter Examples
Appendix
Hedging Linear Risk
Introduction to Futures Hedging
Optimal Hedging
Applications of Optimal Hedging
Important Formulas
Answers to Chapter Examples
Nonlinear Risk: Options
Evaluating Options
Option "Greeks"
Dynamic Hedging
Important Formulas
Answers to Chapter Examples
Modeling Risk Factors
Normal and Lognormal Distributions
Fat Tails
Time-Variation in Risk
Important Formulas
An
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