Energy Power Risk: Derivatives, Computation and Optimization

Author:   George Levy (RWE npower, UK)
Publisher:   Emerald Publishing Limited
ISBN:  

9781787435285


Pages:   344
Publication Date:   10 December 2018
Format:   Hardback
Availability:   In Print   Availability explained
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Energy Power Risk: Derivatives, Computation and Optimization


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Author:   George Levy (RWE npower, UK)
Publisher:   Emerald Publishing Limited
Imprint:   Emerald Publishing Limited
ISBN:  

9781787435285


ISBN 10:   1787435288
Pages:   344
Publication Date:   10 December 2018
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

Chapter 1. OverviewChapter 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

Reviews

Levy, a quantitative analyst who develops systems to estimate the risk and value associated with energy contracts in the UK, provides mathematical and computational tools for the quantification and management of energy/power risk and derivative valuations. He discusses the mathematics of Brownian motion and stochastic processes, the mathematics of spot and forward curve commodity models, Merton's jump diffusion model, non-normal distributions, the modeling of half hourly UK power pricing, and pricing single and multi-asset European and American derivatives, as well as Markowitz portfolio optimization and examples of how to create C++ vector and random number classes that facilitate the development of energy risk and derivative pricing software. He includes his research on UK power contracts, including the topics of power imbalance, renewable generation, intraday storage, and demand optionality. Basic understanding of linear algebra and calculus is assumed.--Annotation (c)2019 (protoview.com)


Levy, a quantitative analyst who develops systems to estimate the risk and value associated with energy contracts in the UK, provides mathematical and computational tools for the quantification and management of energy/power risk and derivative valuations. He discusses the mathematics of Brownian motion and stochastic processes, the mathematics of spot and forward curve commodity models, Merton's jump diffusion model, non-normal distributions, the modeling of half hourly UK power pricing, and pricing single and multi-asset European and American derivatives, as well as Markowitz portfolio optimization and examples of how to create C++ vector and random number classes that facilitate the development of energy risk and derivative pricing software. He includes his research on UK power contracts, including the topics of power imbalance, renewable generation, intraday storage, and demand optionality. Basic understanding of linear algebra and calculus is assumed. -- Annotation ©2019 * (protoview.com) *


Levy, a quantitative analyst who develops systems to estimate the risk and value associated with energy contracts in the UK, provides mathematical and computational tools for the quantification and management of energy/power risk and derivative valuations. He discusses the mathematics of Brownian motion and stochastic processes, the mathematics of spot and forward curve commodity models, Merton's jump diffusion model, non-normal distributions, the modeling of half hourly UK power pricing, and pricing single and multi-asset European and American derivatives, as well as Markowitz portfolio optimization and examples of how to create C++ vector and random number classes that facilitate the development of energy risk and derivative pricing software. He includes his research on UK power contracts, including the topics of power imbalance, renewable generation, intraday storage, and demand optionality. Basic understanding of linear algebra and calculus is assumed. -- Annotation (c)2019 * (protoview.com) *


Author Information

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).

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