The 8 best project finance modelling for 2024
Finding the best project finance modelling suitable for your needs isnt easy. With hundreds of choices can distract you. Knowing whats bad and whats good can be something of a minefield. In this article, weve done the hard work for you.
Best project finance modelling
1. Financial Modelling for Project Finance: Pre-financial close cashflow modelling in Excel (LAC finance texts)
Description
This workbook draws on the author's thirty years of practical real world experience and provides a detailed description of how to plan and build a pre-financial close Project Finance cash flow model. Providing sufficient theory to give the context for each modelling topic, it focuses on detailed practical methods. Topics covered include treatment of flexible timing assumptions, inflation, multiple currencies, circular calculations, debt and equity calculations, cover factors and IRRs and the use of the model to produce alternative base case scenarios and sensitivity cases. This edition is based on the updated 2010 second edition, produced by a new publisher following withdrawal of Euromoney from book publishing. It includes a section on optimization, covering the theory and practice of optimising revenues and/or funding structures to meet specific constraints such as cover factor and IRR requirements, whilst targeting outcomes such as lowest achievable NPV of project revenues, relevant to PFI and PPP funding structures. The workbook concludes with a series of exercises which work through the process of building a model from a set of illustrative data. Excel files illustrating topics in the book and supporting the exercises are available via the author, (contact details given in the text). Where relevant, information is given for both Excel 2003 and 2007, versions which bridge the main change in Excel functionality from menu to ribbon control.
2. Financial Modelling for Project Finance, 2nd Edition
Description
This workbook provides a detailed description of how to plan and build a pre-financial close Project Finance cash flow model. Providing sufficient theory to give the context for each modelling topic, it focuses on detailed practical methods. Topics covered include treatment of flexible timing assumptions, inflation, multiple currencies, circular calculations, debt and equity calculations, cover factors and IRRs and the use of the model to produce alternative base case scenarios and sensitivity cases. The new edition includes revisions to methods and techniques and new topics developed in response to market changes. Includes a new section on optimization, covering the theory and practice of optimising revenues and/or funding structures to meet specific constraints such as cover factor and IRR requirements, whilst targeting outcomes such as lowest achievable NPV of project revenues. The workbook concludes with a series of exercises which work through the process of building a model from a set of illustrative data. Spreadsheets accompany the workbook and have been re-written to reflect the methods and principles in the new edition, and to include the new topics. Where relevant the new edition also describes processes for both 2003 and 2007 versions of Excel.3. Metals and Energy Finance: Application of Quantitative Finance Techniques to the Evaluation of Minerals, Coal and Petroleum Projects (Second Edition)
Description
Given the design component it involves, financial engineering should be considered equal to conventional engineering. By adopting this complementary approach, financial models can be used to identify how and why timing is critical in optimizing return on investment and to demonstrate how financial engineering can enhance returns to investors. Metals and Energy Finance capitalizes on this approach, and identifies and examines the investment opportunities offered across the extractive industry's cycle, from exploration through evaluation, pre-production development, development and production. The textbook also addresses the similarities of a range of natural resource projects, whether minerals or petroleum, while at the same time identifying their key differences.This new edition has been comprehensively revised with a new chapter on Quantitative Finance and three additional case studies. Contemporary themes in the revised edition include the current focus on the transition from open pit to underground mining as well as the role of real option valuations applied to marginal projects that may have value in the future.This innovative textbook is clear and concise in its approach. Both authors have extensive experience within the academic environment at a senior level as well as track records of hands-on participation in projects within the natural resources and financial services sectors. Metals and Energy Finance will be invaluable to both professionals and graduate students working in the field of mineral and petroleum business management.4. Metals And Energy Finance: Advanced Textbook On The Evaluation Of Mineral And Energy Projects
Description
Given the design component it involves, financial engineering should be considered equal to conventional engineering. By adopting this complementary approach, financial models can be used to identify how and why timing is critical in optimizing return on investment and to demonstrate how financial engineering can enhance returns to investors. Metals and Energy Finance capitalizes on this approach, and identifies and examines the investment opportunities offered across the extractive industry's cycle, from exploration through evaluation, pre-production development, development and production. The textbook also addresses the similarities of a range of natural resource projects, whether minerals or petroleum, while at the same time identifying their key differences. This innovative textbook is clear and concise in its approach, and is illustrated throughout with case studies and exercises used at professional training sessions. As the sum of 45 years' international experience in industry and teaching mining geology, mineral exploration and mineral project appraisal, Metals and Energy Finance will be invaluable to both professionals and graduate students working in the field of mineral and petroleum business management.5. Renewable Energy and Energy Efficiency: Assessment of Projects and Policies
Description
The recent rise to prominence of renewable energy and energy efficiency has been driven by their potential to lower the environmental impacts of energy use. As these technologies mature they must demonstrate not only their environmental benefits, but also their economic competitiveness. The relative costs and benefits of each potential project, whether large or small, must be systematically modelled and assessed before they can be financed and implemented.Renewable Energy and Energy Efficiency: Assessment of Projects and Policies deals with the appraisal of such projects against financial and non-financial criteria, illustrating the assessment tools necessary to make appropriate, evidence based decisions as efficiently as possible. The most important technologies are first described, stressing their economic and performance characteristics. Key project appraisal concepts are then introduced, approaches to modelling the cash flows in energy projects are described, and the issues of uncertainty and optimisation are fully discussed. These financial concepts, together with methods for estimating greenhouse gas emissions, are extended to address aspects of energy policy. Illustrated with many case studies this is an ideal introduction to financial and non-financial appraisal techniques as applied to energy efficient and renewable energy technologies.
6. Tools for Thinking: Modelling in Management Science
Description
With over 30 years experience as a management teacher and consultant, Mike Pidd provides the tools for thinking that will help us to think through the consequences of decisions before we act.The third edition of Tools for Thinking builds on the successes of the previous two editions. It creates a bridge between the soft and hard (Operations Research) OR schools of thought and provides an empirically based framework in which to place them. Focusing on modelling as an activity, rather than on models and techniques, Mike Pidd shows how models can be employed to explore possible future scenarios and to make sense of managerial vision.
This third edition has been fully revised and updated without changing its focus. It features a new chapter on Decision Analysis and includes up-to-date examples using popular softwares, such as Precision Tree, @Risk and Micro Saint Sharp, to illustrate how these help in developing and using management science models as tools for thinking.
7. Making Hard Decisions with DecisionTools
Feature
Cengage LearningDescription
MAKING HARD DECISIONS WITH DECISIONTOOLS is a new edition of Bob Clemen's best-selling title, MAKING HARD DECISIONS. This straightforward book teaches the fundamental ideas of decision analysis, without an overly technical explanation of the mathematics used in decision analysis. This new version incorporates and implements the powerful DecisionTools software by Palisade Corporation, the world's leading toolkit for risk and decision analysis. At the end of each chapter, topics are illustrated with step-by-step instructions for DecisionTools. This new version makes the text more useful and relevant to students in business and engineering.8. Hedge Fund Modelling and Analysis using MATLAB (The Wiley Finance Series)
Description
The second book in Darbyshire and Hamptons Hedge Fund Modelling and Analysis series, Hedge Fund Modelling and Analysis Using MATLAB takes advantage of the huge library of built-in functions and suite of financial and analytic packages available to MATLAB. This allows for a more detailed analysis of some of the more computationally intensive and advanced topics, such as hedge fund classification, performance measurement and mean-variance optimisation. Darbyshire and Hamptons first book in the series, Hedge Fund Modelling and Analysis Using Excel & and VBA, is seen as a valuable supplementary text to this book.
Starting with an overview of the hedge fund industry the book then looks at a variety of commercially available hedge fund data sources. After covering key statistical techniques and methods, the book discusses mean-variance optimisation, hedge fund classification and performance with an emphasis on risk-adjusted return metrics. Finally, common hedge fund market risk management techniques, such as traditional Value-at-Risk methods, modified extensions and expected shortfall are covered.
The books dedicated website, www.darbyshirehampton.com provides free downloads of allthe data and MATLAB source code, as well as other useful resources.
Hedge Fund Modelling and Analysis Using MATLAB serves as a definitive introductory guide to hedge fund modelling and analysis and willprovide investors, industry practitioners and students alike witha usefulrange of tools and techniques for analysing and estimating alpha and beta sources of return, performing manager ranking and market risk management.
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