Energy Power Risk: Derivatives, Computation and Optimization
Energy Power Risk: Derivatives, Computation and Optimization is a comprehensive guide presenting the latest mathematical and computational tools required for the quantification and management of energy power risk. Written by a practitioner with many years’ experience in the field, it provides readers with valuable insights in to the latest practices and methodologies used in today’s markets, showing readers how to create innovative quantitative models for energy and power risk and derivative valuation. 

The book begins with an introduction to the mathematics of Brownian motion and stochastic processes, covering Geometric Brownian motion, Ito’s lemma, Ito’s Isometry, the Ornstein Uhlenbeck process and more. It then moves on to the simulation of power prices and the valuation of energy derivatives, before considering software engineering techniques for energy risk and portfolio optimization. The book also covers additional topics including wind and solar generation, intraday storage, generation and demand optionality. 

Written in a highly practical manner and with example C++ and VBA code provided throughout, Energy Power Risk: Derivatives, Computation and Optimization will be an essential reference for quantitative analysts, financial engineers and other practitioners in the field of energy risk management, as well as researchers and students interested in the industry and how it works.
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Energy Power Risk: Derivatives, Computation and Optimization
Energy Power Risk: Derivatives, Computation and Optimization is a comprehensive guide presenting the latest mathematical and computational tools required for the quantification and management of energy power risk. Written by a practitioner with many years’ experience in the field, it provides readers with valuable insights in to the latest practices and methodologies used in today’s markets, showing readers how to create innovative quantitative models for energy and power risk and derivative valuation. 

The book begins with an introduction to the mathematics of Brownian motion and stochastic processes, covering Geometric Brownian motion, Ito’s lemma, Ito’s Isometry, the Ornstein Uhlenbeck process and more. It then moves on to the simulation of power prices and the valuation of energy derivatives, before considering software engineering techniques for energy risk and portfolio optimization. The book also covers additional topics including wind and solar generation, intraday storage, generation and demand optionality. 

Written in a highly practical manner and with example C++ and VBA code provided throughout, Energy Power Risk: Derivatives, Computation and Optimization will be an essential reference for quantitative analysts, financial engineers and other practitioners in the field of energy risk management, as well as researchers and students interested in the industry and how it works.
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Energy Power Risk: Derivatives, Computation and Optimization

Energy Power Risk: Derivatives, Computation and Optimization

by George Levy
Energy Power Risk: Derivatives, Computation and Optimization

Energy Power Risk: Derivatives, Computation and Optimization

by George Levy

Hardcover

$128.99 
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Overview

Energy Power Risk: Derivatives, Computation and Optimization is a comprehensive guide presenting the latest mathematical and computational tools required for the quantification and management of energy power risk. Written by a practitioner with many years’ experience in the field, it provides readers with valuable insights in to the latest practices and methodologies used in today’s markets, showing readers how to create innovative quantitative models for energy and power risk and derivative valuation. 

The book begins with an introduction to the mathematics of Brownian motion and stochastic processes, covering Geometric Brownian motion, Ito’s lemma, Ito’s Isometry, the Ornstein Uhlenbeck process and more. It then moves on to the simulation of power prices and the valuation of energy derivatives, before considering software engineering techniques for energy risk and portfolio optimization. The book also covers additional topics including wind and solar generation, intraday storage, generation and demand optionality. 

Written in a highly practical manner and with example C++ and VBA code provided throughout, Energy Power Risk: Derivatives, Computation and Optimization will be an essential reference for quantitative analysts, financial engineers and other practitioners in the field of energy risk management, as well as researchers and students interested in the industry and how it works.

Product Details

ISBN-13: 9781787435285
Publisher: Emerald Publishing Limited
Publication date: 12/10/2018
Pages: 344
Product dimensions: 5.98(w) x 9.02(h) x 0.87(d)

About the Author

George Levy works as a Quantitative Analyst at RWE npower developing systems to estimate both the risk and value associated with energy contracts. He has been invited to speak at numerous conferences and published articles in various international journals including: Energy Risk Magazine, The Journal of Computational Finance, and Software Practice & Experience. He is also the author of two books: Computational Finance: Numerical Methods for Pricing Financial Derivatives, Academic Press (2004), and Computational Finance using C and C#: Derivatives and Valuation (2nd Edition), Academic Press (2016).

Table of Contents

List of Figures ix

List of Tables xiii

Notations xv

Preface xvii

Chapter 1 Overview 1

Chapter 2 Brownian Motion and Stochastic Processes 3

Chapter 3 Fundamental Power Price Model 33

Chapter 4 Single Asset European Options 45

Chapter 5 Single Asset American Style Options 115

Chapter 6 Multi-asset Options 163

Chapter 7 Power Contracts 189

Chapter 8 Portfolio Optimization 223

Chapter 9 Example C++ Classes 245

Appendix A The Greeks for Vanilla European Options 259

Appendix B Standard Statistical Results 265

Appendix C Statistical Distribution Functions 275

Appendix D Mathematical Reference 291

Appendix E Answers to Problems 297

References 315

Index 321

Preface

Chapter 1. Overview
Chapter 2. Brownian Motion and Stochastic Processes
Chapter 3. Fundamental Power Price Model
Chapter 4. Single Asset European Options
Chapter 5. Single Asset American Style Options
Chapter 6. Multi-Asset Options
Chapter 7. Power Contracts
Chapter 8. Portfolio Optimisation
Chapter 9. Example C++ Classes
Appendix A. The Greeks for Vanilla European Options
Appendix B. Standard Statistical Results
Appendix C. Statistical Distribution Functions
Appendix D. Mathematical Reference
Appendix E. Answers to Problems
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