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Modeling and Valuation of Energy Structures

Modeling and Valuation of Energy Structures
Author: Daniel Mahoney
Publisher: Springer
Total Pages: 474
Release: 2016-01-26
Genre: Business & Economics
ISBN: 1137560150

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Commodity markets present several challenges for quantitative modeling. These include high volatilities, small sample data sets, and physical, operational complexity. In addition, the set of traded products in commodity markets is more limited than in financial or equity markets, making value extraction through trading more difficult. These facts make it very easy for modeling efforts to run into serious problems, as many models are very sensitive to noise and hence can easily fail in practice. Modeling and Valuation of Energy Structures is a comprehensive guide to quantitative and statistical approaches that have been successfully employed in support of trading operations, reflecting the author's 17 years of experience as a front-office 'quant'. The major theme of the book is that simpler is usually better, a message that is drawn out through the reality of incomplete markets, small samples, and informational constraints. The necessary mathematical tools for understanding these issues are thoroughly developed, with many techniques (analytical, econometric, and numerical) collected in a single volume for the first time. A particular emphasis is placed on the central role that the underlying market resolution plays in valuation. Examples are provided to illustrate that robust, approximate valuations are to be preferred to overly ambitious attempts at detailed qualitative modeling.


Modeling and Valuation of Energy Structures

Modeling and Valuation of Energy Structures
Author: Daniel Mahoney
Publisher: Springer
Total Pages: 547
Release: 2016-01-26
Genre: Business & Economics
ISBN: 1137560150

Download Modeling and Valuation of Energy Structures Book in PDF, ePub and Kindle

Commodity markets present several challenges for quantitative modeling. These include high volatilities, small sample data sets, and physical, operational complexity. In addition, the set of traded products in commodity markets is more limited than in financial or equity markets, making value extraction through trading more difficult. These facts make it very easy for modeling efforts to run into serious problems, as many models are very sensitive to noise and hence can easily fail in practice. Modeling and Valuation of Energy Structures is a comprehensive guide to quantitative and statistical approaches that have been successfully employed in support of trading operations, reflecting the author's 17 years of experience as a front-office 'quant'. The major theme of the book is that simpler is usually better, a message that is drawn out through the reality of incomplete markets, small samples, and informational constraints. The necessary mathematical tools for understanding these issues are thoroughly developed, with many techniques (analytical, econometric, and numerical) collected in a single volume for the first time. A particular emphasis is placed on the central role that the underlying market resolution plays in valuation. Examples are provided to illustrate that robust, approximate valuations are to be preferred to overly ambitious attempts at detailed qualitative modeling.


Introduction to Project Finance in Renewable Energy Infrastructure

Introduction to Project Finance in Renewable Energy Infrastructure
Author: Farid Mohamadi
Publisher: Springer Nature
Total Pages: 283
Release: 2021-04-20
Genre: Business & Economics
ISBN: 3030687406

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What is project finance? What makes project or structured finance so relevant for large renewable energy infrastructure? Which vocabulary do I need to know in order to speak the same language during meetings with lawyers, investors, bankers and engineers? These questions and many more are answered throughout this book, offering real world examples to bridge the gap between theory and practice. The book details the role of each stakeholder in the development of renewable energy projects, the interconnection between all the agreements, the financial process from fundraising to financial close, the processes of due diligence, risk analysis, project investment valuation and much more. It also provides with an introduction to Portfolio Management using renewable energy assets and an explanation of the role of Climate Finance in green energy investments. The commented glossary enables readers to unpick the jargon used in project finance for renewable energy, and the numerous creative figures and comprehensive tables aid with understanding. Offering a complete picture of the discipline, Introduction to Project Finance in Renewable Energy Infrastructure will be of value to professionals, engineers and academics alike interested in understanding the process and components of project finance in renewable energy infrastructures, in both private and public-private contexts.


Energy Modeling in Architectural Design

Energy Modeling in Architectural Design
Author: Timothy L. Hemsath
Publisher: Routledge
Total Pages: 294
Release: 2017-07-06
Genre: Architecture
ISBN: 1317496337

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Energy Modeling in Architectural Design demonstrates how design elements can lead to energy savings, to help you reduce the energy footprint of your buildings. In addition to identifying climate opportunities, you’ll also learn fundamental passive design elements for software-agnostic energy modeling of your projects from conception. Using parametric models and testing each element during design will lead you to create beautiful and high-performance buildings. Illustrated with more than 100 color images, this book also includes a pattern guide for high-performance buildings, discusses energy and daylighting optimization, and has a glossary for easy reference.


Valuation and Risk Management in Energy Markets

Valuation and Risk Management in Energy Markets
Author: Glen Swindle
Publisher: Cambridge University Press
Total Pages: 499
Release: 2014-02-17
Genre: Business & Economics
ISBN: 1107036844

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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.


Energy and Power Risk Management

Energy and Power Risk Management
Author: Alexander Eydeland
Publisher: John Wiley & Sons
Total Pages: 506
Release: 2003-02-03
Genre: Business & Economics
ISBN: 0471455873

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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


Modelling Methods for Energy in Buildings

Modelling Methods for Energy in Buildings
Author: Chris Underwood
Publisher: John Wiley & Sons
Total Pages: 312
Release: 2008-04-15
Genre: Technology & Engineering
ISBN: 1405153008

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Climate change mitigation and sustainable practices are now at the top of political and technical agendas. Environmental system modelling provides a way of appraising options and this book will make a significant contribution to the uptake of such systems. It provides knowledge of the principles involved in modelling systems, builds confidence amongst designers and offers a broad perspective of the potential of these new technologies. The aim of the book is to provide an understanding of the concepts and principles behind predictive modelling methods; review progress in the development of the modelling software available; and explore modelling in building design through international case studies based on real design problems.


Energy Modeling

Energy Modeling
Author: Milton F. Searl
Publisher: Routledge
Total Pages: 283
Release: 2016-03-22
Genre: Nature
ISBN: 1317358996

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In 1973, a seminar was held by Resources for the Future to bring together the new and growing community of scholars researching into the general field of energy modelling. Originally published in the same year, this report gathers together all of the papers presented at that seminar in order to further spread the results of these studies with those who were unable to attend. The papers cover a full range of techniques used for energy modelling whilst commenting on current government and industry models. This title will be of interest to students of Environmental Studies.


The Application of Income Valuation Models to Energy Utilities

The Application of Income Valuation Models to Energy Utilities
Author: Andrew C.. Hackett
Publisher:
Total Pages: 104
Release: 2013
Genre:
ISBN:

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The goal of valuation models that value publicly traded companies would appear simple enough: to provide a single number that represents a company's value. For the mature, stable energy utility industry, an industry traditionally shielded from competitive market forces, it would appear to be particularly straightforward. Yet, even in this industry, the application of valuation models is not straightforward. There are multiple reasons for this: valuation models use historical data to make predictions on the future, and the past is not always a reliable guide to the future; valuations can be highly sensitive to the choice of inputs and for certain inputs there are not widely held agreements in the field on which ones to use; companies can face unique economic circumstances, requiring the selection of a model that best fits these circumstances; and finally, industries change, and valuation models need to reflect these changes to ensure that they are properly predicting the future risks and growth potentials of the companies that they are attempting to value. By applying income valuation techniques to the energy utility Pacific Gas and Electric Co. (PG&E), several conclusions can be reached. First, a valuation model must match the company it is attempting to value: there is no such thing as a universal valuation model that can be applied to all companies. Second, since companies compete for capital in competitive markets, company valuations should be viewed against their industry peers and industry averages. In the case of PG&E, a model needs to take into account its distressed growth in the immediate term caused by the effects and consequences of the San Bruno gas explosion of September 9, 2010. By comparing PG&E's valuation to two of its industry peers, Xcel Energy and NextEra Energy, one can better understand why the market values these companies differently and why different valuation models need to be applied to all three to capture their unique economic realities: PG&E with distressed short-term growth, Xcel Energy with stable growth, and NextEra Energy with a higher growth potential from a higher reinvestment of capital into generating assets. Finally, since valuation models are forward-looking, these models need to take into account changing industry structures. In the case of energy utilities, deregulation in electrical generation has created both higher growth prospects, but also greater market risks, and valuation models will need to capture these.


Applied Data Analysis and Modeling for Energy Engineers and Scientists

Applied Data Analysis and Modeling for Energy Engineers and Scientists
Author: T. Agami Reddy
Publisher: Springer Science & Business Media
Total Pages: 446
Release: 2011-08-09
Genre: Technology & Engineering
ISBN: 1441996133

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Applied Data Analysis and Modeling for Energy Engineers and Scientists fills an identified gap in engineering and science education and practice for both students and practitioners. It demonstrates how to apply concepts and methods learned in disparate courses such as mathematical modeling, probability,statistics, experimental design, regression, model building, optimization, risk analysis and decision-making to actual engineering processes and systems. The text provides a formal structure that offers a basic, broad and unified perspective,while imparting the knowledge, skills and confidence to work in data analysis and modeling. This volume uses numerous solved examples, published case studies from the author’s own research, and well-conceived problems in order to enhance comprehension levels among readers and their understanding of the “processes”along with the tools.