The Latest Methods and Strategies for Successfully Trading and Managing Risk in Today's Volatile Energy Markets The updated Second Edition of Energy Risk presents an authoritative overview of the contemporary energy trading arena, combining the lesson's from the last decade with proven methods and strategies required for valuing energy derivatives and managing risk in these ever volatile markets. Written by renowned energy risk expert Dragana Pilipovic this revised classic examines market behavior, covering both quantitative analysis and trader-oriented insights. The book shows how to establish a modeling process that involves the key players_managers, traders, quantitative analysts, and engineers_and provides practical answers to energy trading and risk management questions. The Second Edition of Energy Risk features: Detailed coverage of the primary factors that influence energy risk Techniques for building marked-to-market forward price curves, creating volatility matrices, and valuing complex options Specific guidelines and tools for achieving risk goals New to this edition: three new chapters on the emerging energy market and marked-to-market issues; new material on energy-specific models, seasonal effects, and the derivation of the mean-reverting price model; and more

Praise for Energy and Power Risk Management "Energy and Power Risk Management identifies and addresses the key issues in the development of the turbulent energy industry and the challenges it poses to market players. An insightful and far-reaching book written by two renowned professionals." -Helyette Geman, Professor of Finance University Paris Dauphine and ESSEC "The most up-to-date and comprehensive book on managing energy price risk in the natural gas and power markets. An absolute imperative for energy traders and energy risk management professionals." -Vincent Kaminski, Managing Director Citadel Investment Group LLC "Eydeland and Wolyniec's work does an excellent job of outlining the methods needed to measure and manage risk in the volatile energy market." -Gerald G. Fleming, Vice President, Head of East Power Trading, TXU Energy Trading "This book combines academic rigor with real-world practicality. It is a must-read for anyone in energy risk management or asset valuation." -Ron Erd, Senior Vice President American Electric Power

Addressing the important issues of worldwide energy price risk management, this work assembles the leading industry figures to explain general theories and practices for hedging risk, and specific methods to effectively manage risk in markets such as coal, natural gas, electricity, and hydropower.

Mathematical techniques for trading and risk management. Managing Energy Risk closes the gap between modern techniques from financial mathematics and the practical implementation for trading and risk management. It takes a multi-commodity approach that covers the mutual influences of the markets for fuels, emission certificates, and power. It includes many practical examples and covers methods from financial mathematics as well as economics and energy-related models.

This book surveys the mechanics of energy markets and the valuation of structures commonly arising in practice. The presentation balances quantitative issues and practicalities facing portfolio managers, with substantial attention paid to the ways in which common methods fail in practice and to alternative methods when they exist. The book will provide readers with the analytical foundation required to function in modern energy trading and risk management groups.

Price Risk Management and Trading. Energy risk management expert, Tom James, does it again. His latest book is a timely addition to the rapidly developing energy trading markets. This book should be on every energy trader, risk manager and corporate planer's desk. it is an easy read as Tom goes into great detail to explain the intricacies of this market and its various unique elements. - Peter C. Fusaro, Chairman, Global Change Associates Inc., Best-selling Author and Energy Expert This sensible and practical guide is essential for those seeking an understanding of commerce in energy derivatives. beyond merely informative, this hand book for the practitioner details the finer points of the use of derivatives as tools for price-risk management. No energy trading desk should be without it. - Ethan L. Cohen, Senior Director, Utility and Energy Technology, UtiliPoint International Inc. Energy markets are much more volatile than other commodity markets, so risk mitigation is more of a concern. Energy prices, for example, can be affected by weather, geopo9litical turmoil, changes in tax and legal systems, OPEC decisions, analysis' reports, transportation issues, and supply and demand - to name just a few factors. Tom James's book is a practical guide to assessing and managing these risks. It is a must-read for senior management as well as risk and financial professionals.- Don Stowers, Editor, Oil & Gas Financial Journal This book is the most comprehensive on price risk management-centric efforts. It provides the reader with a tangible experience of derivatives in today's capital and energy markets. The breadth and scope of the passages are immense, in that both developed and developing countries' energy markets are considered and examples applied. Terrific read! - Rashpal Bhatti, Marketing Manager, Energy Trading Asia, Enron/BHP Billiton Tom James has simplified the intricacies of a very complex market. In this new market of "hot" commodities, he has been able to give a fresh course to those who are new to the energy markets and a solid review for those that are well seasoned. he covers everything within the oil market from A to Z in this book and does it well. Coming from a financial background myself, it's good to finally find a book that can bring a better understanding to the field of energy commodities. - Carl Larry, Vice President Citi Energy Global Commodities

The book describes both mathematical and computational tools for energy and power risk management, deriving from first principles stochastic models for simulating commodity risk and how to design robust C++ to implement these models.