Practical Methods of Financial Engineering and Risk Management - Tools for Modern Financial Professionals

Risk control, capital allocation, and realistic derivative pricing and hedging are critical concerns for major financial institutions and individual traders alike. Events from the collapse of Lehman Brothers to the Greek sovereign debt crisis demonstrate the urgent and abiding need for statistical tools adequate to measure and anticipate the amplitude of potential swings in the financial markets - from ordinary stock price and interest rate moves, to defaults, to those increasingly frequent "rare events" fashionably called black swan events . Yet many on Wall Street continue to rely on standard models based on artificially simplified assumptions that can lead to systematic (and sometimes catastrophic) underestimation of real risks.

In Practical Methods of Financial Engineering and Risk Management , Dr. Rupak Chatterjee - former director of the multi-asset quantitative research group at Citi - introduces finance professionals and advanced students to the latest concepts, tools, valuation techniques, and analytic measures being deployed by the more discerning and responsive Wall Street practitioners, on all operational scales from day trading to institutional strategy, to model and analyze more faithfully the real behavior and risk exposure of financial markets in the cold light of the post-2008 realities. Until one masters this modern skill set, one cannot allocate risk capital properly, price and hedge derivative securities realistically, or risk-manage positions from the multiple perspectives of market risk, credit risk, counterparty risk, and systemic risk.

The book assumes a working knowledge of calculus, statistics, and Excel, but it teaches techniques from statistical analysis, probability, and stochastic processes sufficient to enable the reader to calibrate probability distributions and create the simulations that are used on Wall Street to valuate various financial instruments correctly, model the risk dimensions of trading strategies, and perform the numerically intensive analysis of risk measures required by various regulatory agencies.

List of contents

Chapter 1. Financial InstrumentsChapter 2. Building a Yield CurveChapter 3. Statistical Analysis of Financial DataChapter 4. Stochastic ProcessesChapter 5. Optimal Hedging Monte Carlo (OHMC) MethodsChapter 6. Introduction to Credit DerivativesChapter 7. Basel II, Basel III, and Credit Valuation Adjustment (CVA)Chapter 8. Modeling Extreme Moves with Power LawsChapter 9. Asset Replication

About the author

Rupak Chatterjee is Director of the Multi-Asset Quantitative Research group at CitiGlobal Markets and Industry Professor in the School of Systems and Enterprises, Stevens Institute of Technology. He worked as a quantitative analyst at Barclays Capital, Credit Suisse, and HSBC. He took his PhD in theoretical physics at SUNY Stony Brook and completed a postdoctoral fellowship at The James Franck Institute, University of Chicago. He is the author of numerous papers on mathematical physics, discrete-time hedging problems using the Optimal Hedging Monte Carlo(OHMC) method, and the design and execution of systematic trading strategies.

Summary

Risk control, capital allocation, and realistic derivative pricing and hedging are critical concerns for major financial institutions and individual traders alike. Events from the collapse of Lehman Brothers to the Greek sovereign debt crisis demonstrate the urgent and abiding need for statistical tools adequate to measure and anticipate the amplitude of potential swings in the financial markets—from ordinary stock price and interest rate moves, to defaults, to those increasingly frequent "rare events" fashionably called black swan events. Yet many on Wall Street continue to rely on standard models based on artificially simplified assumptions that can lead to systematic (and sometimes catastrophic) underestimation of real risks.

In Practical Methods of Financial Engineering and Risk Management, Dr. Rupak Chatterjee— former director of the multi-asset quantitative research group at Citi—introduces finance professionals and advanced students to the latest concepts, tools, valuation techniques, and analytic measures being deployed by the more discerning and responsive Wall Street practitioners, on all operational scales from day trading to institutional strategy, to model and analyze more faithfully the real behavior and risk exposure of financial markets in the cold light of the post-2008 realities. Until one masters this modern skill set, one cannot allocate risk capital properly, price and hedge derivative securities realistically, or risk-manage positions from the multiple perspectives of market risk, credit risk, counterparty risk, and systemic risk.

The book assumes a working knowledge of calculus, statistics, and Excel, but it teaches techniques from statistical analysis, probability, and stochastic processes sufficient to enable the reader to calibrate probability distributions and create the simulations that are used on Wall Street to valuate various financial instruments correctly, model the risk dimensions of trading strategies, and perform the numerically intensive analysis of risk measures required by various regulatory agencies.

Product details

• Authors: Rupak Chatterjee
• Publisher: Springer, Berlin
• Languages: English
• Product format: Paperback / Softback
• Released: 01.03.2015
• EAN: 9781430261339
• ISBN: 978-1-4302-6133-9
• No. of pages: 388
• Dimensions: 155 mm x 231 mm x 23 mm
• Weight: 557 g
• Illustrations: XXIV, 388 p. 186 illus.
• Series: aPress
• Subjects: Social sciences, law, business > Business > Management; B, Business, Business and Management, Business and Management, general, Management science