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| financial modelling for project finance: Corporate and Project Finance Modeling Edward Bodmer, 2014-11-10 A clear and comprehensive guide to financial modeling and valuation with extensive case studies and practice exercises Corporate and Project Finance Modeling takes a clear, coherent approach to a complex and technical topic. Written by a globally-recognized financial and economic consultant, this book provides a thorough explanation of financial modeling and analysis while describing the practical application of newly-developed techniques. Theoretical discussion, case studies and step-by-step guides allow readers to master many difficult modeling problems and also explain how to build highly structured models from the ground up. The companion website includes downloadable examples, templates, and hundreds of exercises that allow readers to immediately apply the complex ideas discussed. Financial valuation is an in-depth process, involving both objective and subjective parameters. Precise modeling is critical, and thorough, accurate analysis is what bridges the gap from model to value. This book allows readers to gain a true mastery of the principles underlying financial modeling and valuation by helping them to: Develop flexible and accurate valuation analysis incorporating cash flow waterfalls, depreciation and retirements, updates for new historic periods, and dynamic presentation of scenario and sensitivity analysis; Build customized spreadsheet functions that solve circular logic arising in project and corporate valuation without cumbersome copy and paste macros; Derive accurate measures of normalized cash flow and implied valuation multiples that account for asset life, changing growth, taxes, varying returns and cost of capital; Incorporate stochastic analysis with alternative time series equations and Monte Carlo simulation without add-ins; Understand valuation effects of debt sizing, sculpting, project funding, re-financing, holding periods and credit enhancements. Corporate and Project Finance Modeling provides comprehensive guidance and extensive explanation, making it essential reading for anyone in the field. |
| financial modelling for project finance: Financial Modelling for Project Finance Penelope a Lynch, 2017-12-15 A practical guide to creating, developing and using cash flow models for project finance. Relevant cross-industry, including energy, power, renewables and infrastructure, and for funding structures including classic project finance, PFI, PPP, BOT & DCF valuation. Clear explanation of theory and methods, plus self-study exercises. |
| financial modelling for project finance: Project Finance for Business Development John E. Triantis, 2018-05-08 Raise the skill and competency level of project finance organizations Project Finance for Business Development helps readers understand how to develop a competitive advantage through project finance. Most importantly, it shows how different elements of project finance, such as opportunity screening and evaluation, project development, risk management, and due diligence come together to structure viable and financeable projects—which are crucial pieces missing from the current literature. Eliminating misconceptions about what is really important for successful project financings, this book shows you how to develop, structure, and implement projects successfully by creating competitive advantage. By shedding light on project finance failures, it also helps you avoid failures of your own. • Offers a roadmap for successful financing, participant roles and responsibilities, and assessing and testing project viability • Considers project finance from a broad business development and competitive advantage • Provides a strategic decision-forecasting perspective • Delves deeper than existing treatments of project finance into decisions needed to create and implement effective financing plans Helping readers develop, structure, and implement projects successfully by creating competitive advantage, this book is a useful tool for project sponsors and developers, helping them structure and implement projects by creating competitive advantage. |
| financial modelling for project finance: Principles of Project Finance E. R. Yescombe, 2013-11-13 The Second Edition of this best-selling introduction for practitioners uses new material and updates to describe the changing environment for project finance. Integrating recent developments in credit markets with revised insights into making project finance deals, the second edition offers a balanced view of project financing by combining legal, contractual, scheduling, and other subjects. Its emphasis on concepts and techniques makes it critical for those who want to succeed in financing large projects. With extensive cross-references and a comprehensive glossary, the Second Edition presents anew a guide to the principles and practical issues that can commonly cause difficulties in commercial and financial negotiations. - Provides a basic introduction to project finance and its relationship with other financing techniques - Describes and explains: sources of project finance; typical commercial contracts (e.g., for construction of the project and sale of its product or services) and their effects on project-finance structures; project-finance risk assessment from the points of view of lenders, investors, and other project parties; how lenders and investors evaluate the risks and returns on a project; the rôle of the public sector in public-private partnerships and other privately-financed infrastructure projects; how all these issues are dealt with in the financing agreements |
| financial modelling for project finance: Financial Model Detective Hedieh Kianyfard, 2019-06-15 I used to love Kinder Surprise as a kid, and now opening up someone else's financial model gives me the same sensation. Unnecessarily complex models are like those gifts that require an engineering background to assemble; the overly simplified models are like the readily assembled figurine of dinosaurs that end up in the trash right away, and good financial models are like those gifts that you still keep inyour secret shoe box.Within the pages of this financial modeling manual, you will find hints and tricks on how to conduct a preliminary review of a financial model and decide as early as possible whether you want to work with the inherited model or build your own model instead. |
| financial modelling for project finance: Corporate and Project Finance Modeling Edward Bodmer, 2014 A clear and comprehensive guide to financial modeling and valuation with extensive case studies and practice exercises Corporate and Project Finance Modeling takes a clear, coherent approach to a complex and technical topic. Written by a globally-recognized financial and economic consultant, this book provides a thorough explanation of financial modeling and analysis while describing the practical application of newly-developed techniques. Theoretical discussion, case studies and step-by-step guides allow readers to master many difficult modeling problems and also explain how to build highly structured models from the ground up. The companion website includes downloadable examples, templates, and hundreds of exercises that allow readers to immediately apply the complex ideas discussed. Financial valuation is an in-depth process, involving both objective and subjective parameters. Precise modeling is critical, and thorough, accurate analysis is what bridges the gap from model to value. This book allows readers to gain a true mastery of the principles underlying financial modeling and valuation by helping them to: Develop flexible and accurate valuation analysis incorporating cash flow waterfalls, depreciation and retirements, updates for new historic periods, and dynamic presentation of scenario and sensitivity analysis; Build customized spreadsheet functions that solve circular logic arising in project and corporate valuation without cumbersome copy and paste macros; Derive accurate measures of normalized cash flow and implied valuation multiples that account for asset life, changing growth, taxes, varying returns and cost of capital; Incorporate stochastic analysis with alternative time series equations and Monte Carlo simulation without add-ins; Understand valuation effects of debt sizing, sculpting, project funding, re-financing, holding periods and credit enhancements. Corporate and Project Finance Modeling provides comprehensive guidance and extensive explanation, making it essential reading for anyone in the field. |
| financial modelling for project finance: Financial Modeling and Valuation Paul Pignataro, 2013-07-10 Written by the Founder and CEO of the prestigious New York School of Finance, this book schools you in the fundamental tools for accurately assessing the soundness of a stock investment. Built around a full-length case study of Wal-Mart, it shows you how to perform an in-depth analysis of that company's financial standing, walking you through all the steps of developing a sophisticated financial model as done by professional Wall Street analysts. You will construct a full scale financial model and valuation step-by-step as you page through the book. When we ran this analysis in January of 2012, we estimated the stock was undervalued. Since the first run of the analysis, the stock has increased 35 percent. Re-evaluating Wal-Mart 9months later, we will step through the techniques utilized by Wall Street analysts to build models on and properly value business entities. Step-by-step financial modeling - taught using downloadable Wall Street models, you will construct the model step by step as you page through the book. Hot keys and explicit Excel instructions aid even the novice excel modeler. Model built complete with Income Statement, Cash Flow Statement, Balance Sheet, Balance Sheet Balancing Techniques, Depreciation Schedule (complete with accelerating depreciation and deferring taxes), working capital schedule, debt schedule, handling circular references, and automatic debt pay downs. Illustrative concepts including detailing model flows help aid in conceptual understanding. Concepts are reiterated and honed, perfect for a novice yet detailed enough for a professional. Model built direct from Wal-Mart public filings, searching through notes, performing research, and illustrating techniques to formulate projections. Includes in-depth coverage of valuation techniques commonly used by Wall Street professionals. Illustrative comparable company analyses - built the right way, direct from historical financials, calculating LTM (Last Twelve Month) data, calendarization, and properly smoothing EBITDA and Net Income. Precedent transactions analysis - detailing how to extract proper metrics from relevant proxy statements Discounted cash flow analysis - simplifying and illustrating how a DCF is utilized, how unlevered free cash flow is derived, and the meaning of weighted average cost of capital (WACC) Step-by-step we will come up with a valuation on Wal-Mart Chapter end questions, practice models, additional case studies and common interview questions (found in the companion website) help solidify the techniques honed in the book; ideal for universities or business students looking to break into the investment banking field. |
| financial modelling for project finance: Project Finance in Theory and Practice Stefano Gatti, 2012-08-22 Stefano Gatti describes the theory that underpins this cutting-edge industry, and then provides illustrations and examples from actual practice to illustrate that theory. |
| financial modelling for project finance: Financial Modelling for Project Finance Penelope Lynch, Penny Lynch, 2011 Financial Modelling for Project Finance, 2nd edition is accompanied by supporting spreadsheets illustrating the methods explained and providing an example solution to the exercises. |
| financial modelling for project finance: Introduction to Project Finance in Renewable Energy Infrastructure Farid Mohamadi, 2021-04-20 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. |
| financial modelling for project finance: Financial Modelling for Project Finance Penelope Lynch, 2014-05-14 |
| financial modelling for project finance: Corporate and Project Finance Modeling Edward Bodmer, 2014-10-10 A clear and comprehensive guide to financial modeling and valuation with extensive case studies and practice exercises Corporate and Project Finance Modeling takes a clear, coherent approach to a complex and technical topic. Written by a globally-recognized financial and economic consultant, this book provides a thorough explanation of financial modeling and analysis while describing the practical application of newly-developed techniques. Theoretical discussion, case studies and step-by-step guides allow readers to master many difficult modeling problems and also explain how to build highly structured models from the ground up. The companion website includes downloadable examples, templates, and hundreds of exercises that allow readers to immediately apply the complex ideas discussed. Financial valuation is an in-depth process, involving both objective and subjective parameters. Precise modeling is critical, and thorough, accurate analysis is what bridges the gap from model to value. This book allows readers to gain a true mastery of the principles underlying financial modeling and valuation by helping them to: Develop flexible and accurate valuation analysis incorporating cash flow waterfalls, depreciation and retirements, updates for new historic periods, and dynamic presentation of scenario and sensitivity analysis; Build customized spreadsheet functions that solve circular logic arising in project and corporate valuation without cumbersome copy and paste macros; Derive accurate measures of normalized cash flow and implied valuation multiples that account for asset life, changing growth, taxes, varying returns and cost of capital; Incorporate stochastic analysis with alternative time series equations and Monte Carlo simulation without add-ins; Understand valuation effects of debt sizing, sculpting, project funding, re-financing, holding periods and credit enhancements. Corporate and Project Finance Modeling provides comprehensive guidance and extensive explanation, making it essential reading for anyone in the field. |
| financial modelling for project finance: Practical Financial Modelling Jonathan Swan, 2015-07-28 Practical Financial Modelling, 3e is a book on model development and model assurance. It enhances the modelling process by emphasizing controls and checks for accuracy and reliability. New content on validation and verification, model use and sensitivity analysis is presented alongside a modelling methodology that underpins the various proprietary standards used in financial modelling today. It provides more details than other books and yet is general enough for applying its methodology to many applications. This book isn't just about the details of building cash flow models, it's about building better cash flow models. - This new edition increases the number of worked examples and introduces new material on the audit sheet and audit workbook methodologies, and the delta sheet approach to sensitivity analysis - It provides the developer with a toolkit of modelling techniques and a framework of error controls to reduce the risk of spreadsheet error - The methodology and structure conforms with the modelling principles defined by the Institute of Chartered Accountants of England and Wales; and the model assurance processes ensure compliance with the UK public sector Macpherson Report and regulatory requirements such as Sarbanes-Oxley |
| financial modelling for project finance: Principles of Financial Modelling Michael Rees, 2018-03-19 The comprehensive, broadly-applicable, real-world guide to financial modelling Principles of Financial Modelling – Model Design and Best Practices Using Excel and VBAcovers the full spectrum of financial modelling tools and techniques in order to provide practical skills that are grounded in real-world applications. Based on rigorously-tested materials created for consulting projects and for training courses, this book demonstrates how to plan, design and build financial models that are flexible, robust, transparent, and highly applicable to a wide range of planning, forecasting and decision-support contexts. This book integrates theory and practice to provide a high-value resource for anyone wanting to gain a practical understanding of this complex and nuanced topic. Highlights of its content include extensive coverage of: Model design and best practices, including the optimisation of data structures and layout, maximising transparency, balancing complexity with flexibility, dealing with circularity, model audit and error-checking Sensitivity and scenario analysis, simulation, and optimisation Data manipulation and analysis The use and choice of Excel functions and functionality, including advanced functions and those from all categories, as well as of VBA and its key areas of application within financial modelling The companion website provides approximately 235 Excel files (screen-clips of most of which are shown in the text), which demonstrate key principles in modelling, as well as providing many examples of the use of Excel functions and VBA macros. These facilitate learning and have a strong emphasis on practical solutions and direct real-world application. For practical instruction, robust technique and clear presentation, Principles of Financial Modelling is the premier guide to real-world financial modelling from the ground up. It provides clear instruction applicable across sectors, settings and countries, and is presented in a well-structured and highly-developed format that is accessible to people with different backgrounds. |
| financial modelling for project finance: Project Financing: Analyzing And Structuring Projects Carmel De Nahlik, Frank J Fabozzi, 2021-04-14 This book covers the project financing process from the perspective of a wider and more general group of stakeholders by addressing the three key elements of cash flow; collateral/support structures; and risk management. Following a detailed description of project financing in the first chapter, the authors discuss the project financing process, modelling and risk management, public private partnerships and project financing in practice including the use of the principles in a range of different contexts. A sound understanding of project management is fundamental to successful project financing, as is the need to have a clear plan for a project to communicate the essential information that different stakeholders require.A successful project financing starts with the different phases of a project and descriptions of the key risk areas include the challenges in estimating the cost of a project and the general principles of financial modelling with a discussion of the unique aspects of financial modelling for different industries. Throughout the book, short recent international case studies are used to illustrate successful and unsuccessful projects allowing the lessons learned to be visible and there are many examples of specific applications of project finance techniques throughout the text.Bundle Set: Project Financing (Analyzing and Structuring Projects & Financial Instruments and Risk Management) |
| financial modelling for project finance: Modeling Structured Finance Cash Flows with Microsoft Excel Keith A. Allman, 2010-12-28 A practical guide to building fully operational financial cash flow models for structured finance transactions Structured finance and securitization deals are becoming more commonplace on Wall Street. Up until now, however, market participants have had to create their own models to analyze these deals, and new entrants have had to learn as they go. Modeling Structured Finance Cash Flows with Microsoft Excel provides readers with the information they need to build a cash flow model for structured finance and securitization deals. Financial professional Keith Allman explains individual functions and formulas, while also explaining the theory behind the spreadsheets. Each chapter begins with a discussion of theory, followed by a section called Model Builder, in which Allman translates the theory into functions and formulas. In addition, the companion website features all of the modeling exercises, as well as a final version of the model that is created in the text. Note: Companion website and other supplementary materials are not included as part of eBook file. |
| financial modelling for project finance: Project Finance in Construction Tony Merna, Yang Chu, Faisal F. Al-Thani, 2010-06-04 Project finance has spread worldwide and includes numerousindustrial projects from power stations and waste-disposal plantsto telecommunication facilities, bridges, tunnels, railwaynetworks, and now also the building of hospitals, educationfacilities, government accommodation and tourist facilities. Despite financial assessment of PF projects being fundamental tothe lender’s decision, there is little understanding of howthe use of finance is perceived by individual stakeholders; why andhow a financial assessment is performed; who should be involved;where and when it should be performed; what data should be used;and how financial assessments should be presented. Current uncertainty in financial markets makes many sponsors ofconstruction project financings carefully consider bank liquidity,the higher cost of finance, and general uncertainty for demand.This has resulted in the postponement of a number of projects incertain industry sectors. Governments have seen tax receiptsdrastically reduced which has affected their ability to financeinfrastructure projects, often irrespective of the perceiveddemand. Equity providers still seek to invest, however there areless opportunities due to market dislocation. Due to the demand forglobal infrastructure it is believed that project financings willreturn to their pre-crunch levels, or more so, howeverlenders’ liquidity costs will be passed on to the borrowers.Lenders will also be under stricter regulation both internally andexternally. The steps outlined in the guide are designed to provide a basicunderstanding for all those involved or interested in bothstructuring and assessing project financings. Secondary contractsinvolving constructors, operators, finance providers, suppliers andofftakers can be developed and assessed to determine theircommercial viability over a projects life cycle. Special Features a structured guide to assessing the commercial viabilityof construction projects explains economic metrics to use in the decision makingprocess detailed case study shows how stakeholders apply the concept ofproject finance |
| financial modelling for project finance: Structured Finance Modeling with Object-Oriented VBA Evan Tick, 2011-07-28 A detailed look at how object-oriented VBA should be used to model complex financial structures This guide helps readers overcome the difficult task of modeling complex financial structures and bridges the gap between professional C++/Java programmers writing production models and front-office analysts building Excel spreadsheet models. It reveals how to model financial structures using object-oriented VBA in an Excel environment, allowing desk-based analysts to quickly produce flexible and robust models. Filled with in-depth insight and expert advice, it skillfully illustrates the art of object-oriented programming for the explicit purpose of modeling structured products. Residential mortgage securitization is used as a unifying example throughout the text. |
| financial modelling for project finance: Project Financing: Financial Instruments And Risk Management Carmel De Nahlik, Frank J Fabozzi, 2021-05-05 The book describes the different tools and techniques available to anyone who is engaged in providing funding or advice to a project. Project finance is ultimately about applying three basic principles to a funding situation and from these three, all the other ideas flow including contracts. First, there needs to be a cash flow coming from the project that is capable of being captured by finance providers. Second, there needs to be a group of assets that can be segregated and contained by making sure they cannot be taken away by other parties and thirdly there needs to be a risk envelope that is well understood and managed dynamically during the project's life. To do this, a network of contracts must exist to support the rights of the different stakeholders and their legal claims on the project. In this book the authors examine all of these aspects and provide some examples/mini-cases of project structures and approaches. The book begins and ends with a longer case study of two projects that were standalone examples of project financing and controversial for different reasons at the time of their fundraising.Bundle Set: Project Financing (Analyzing and Structuring Projects & Financial Instruments and Risk Management) |
| financial modelling for project finance: Introduction to Project Finance Andrew Fight, 2005-08-26 The term project finance is now being used in almost every language in every part of the world. It is the solution to infrastructure, public and private venture capital needs. It has been successfully used in the past to raise trillions of dollars of capital and promises to continue to be one of the major financing techniques for capital projects in both developed and developing countries.Project Finance aims to provide: *Overview of project finance*Understanding of the key risks involved in project finance and techniques for mitigating risk*Techniques for effective evaluation of project finance from both a financial and credit perspectiveThe author differentiates between recourse and non-recourse funding, tackles the issues of feasibility, identifies the parties normally involved with project finance plans, and details techniques for realistic cash flow preparation.*Inspired by basic entry level training courses that have been developed by major international banks worldwide*Will enable students, and those already in the finance profession, to gain an understanding of the basic information and principles of project finance*Includes questions with answers, study topics, practical 'real world' examples and an extensive bibliography |
| financial modelling for project finance: Using Excel for Business Analysis Danielle Stein Fairhurst, 2015-05-18 This is a guide to building financial models for business proposals, to evaluate opportunities, or to craft financial reports. It covers the principles and best practices of financial modelling, including the Excel tools, formulas, and functions to master, and the techniques and strategies necessary to eliminate errors. |
| financial modelling for project finance: Financial Modeling for Business Owners and Entrepreneurs Tom Y. Sawyer, 2014-09-22 Financial Modeling for Business Owners and Entrepreneurs: Developing Excel Models to Raise Capital, Increase Cash Flow, Improve Operations, Plan Projects, and Make Decisions may be one of the most important books any entrepreneur or manager in a small or medium-sized enterprise will read. It combines logical business principles and strategies with a step-by-step methodology for planning and modeling a company and solving specific business problems. You’ll learn to create operational and financial models in Excel that describe the workings of your company in quantitative terms and that make it far more likely you will avoid the traps and dead ends many businesses fall into. Serial entrepreneur and financial expert Tom Y. Sawyer shows how to break your company down into basic functional and operational components that can be modeled. The result is a financial model that, for example, you can literally take to the bank or bring to local angel investors to receive the funding you need to launch your business or a new product. Or it might be a model that shows with startling clarity that your new product development effort is a likely winner—or loser. Even better, you’ll learn to create models that will serve as guideposts for ongoing operations. You’ll always know just where you are financially, and where you need to be. The models you will learn to build in Financial Modeling for Business Owners and Entrepreneurs can be used to: Raise capital for startup or any stage of growth Plan projects and new initiatives Make astute business decisions, including go/no-go assessments Analyze ROI on your product development and marketing expenditures Streamline operations, manage budgets, improve efficiency, and reduce costs Value the business when it is time to cash out or merge In addition to many valuable exercises and tips for using Excel to model your business, this book contains a combination of practical advice born of hard-won lessons, advanced strategic thought, and the insightful use of hard skills. With a basic knowledge of Excel assumed, it will help you learn to think like an experienced business person who expects to make money on the products or services offered to the public. You’ll discover that the financial model is a key management tool that, if built correctly, provides invaluable assistance every step of the entrepreneurial journey. Tom Y. Sawyer has used the principles this book contains to create financial models of numerous startup and early-stage companies, assisting them in planning for and raising the capital that they needed to grow their businesses and ultimately exit with multiples of their initial investment. Financial Modeling for Business Owners and Entrepreneurs, a mini-MBA in entrepreneurship and finance, will show you how you can do the same. Note: This book is an updated version of Sawyer's 2009 title, Pro Excel Financial Modeling. |
| financial modelling for project finance: Using Excel for Business and Financial Modelling Danielle Stein Fairhurst, 2019-03-25 A hands-on guide to using Excel in the business context First published in 2012, Using Excel for Business and Financial Modelling contains step-by-step instructions of how to solve common business problems using financial models, including downloadable Excel templates, a list of shortcuts and tons of practical tips and techniques you can apply straight away. Whilst there are many hundreds of tools, features and functions in Excel, this book focuses on the topics most relevant to finance professionals. It covers these features in detail from a practical perspective, but also puts them in context by applying them to practical examples in the real world. Learn to create financial models to help make business decisions whilst applying modelling best practice methodology, tools and techniques. • Provides the perfect mix of practice and theory • Helps you become a DIY Excel modelling specialist • Includes updates for Excel 2019/365 and Excel for Mac • May be used as an accompaniment to the author’s online and face-to-face training courses Many people are often overwhelmed by the hundreds of tools in Excel, and this book gives clarity to the ones you need to know in order to perform your job more efficiently. This book also demystifies the technical, design, logic and financial skills you need for business and financial modelling. |
| financial modelling for project finance: Ppp and Project Finance Das, Prabuddha, 2012 |
| financial modelling for project finance: Continuing Financial Modelling Liam Bastick, 2020-09-01 . |
| financial modelling for project finance: Building Financial Models John S. Tjia, 2004-01-10 Financial modeling is essential for determining a company's current value and projecting its future performance, yet few books explain how to build models for accurately interpreting financial statements. Building Financial Models is the first book to correct this oversight, unveiling a step-by-step process for creating a core model and then customizing it for companies in virtually any industry. Covering every aspect of building a financial model, it provides a broad understanding of the actual mechanics of models, as well as their foundational accounting and finance concepts. |
| financial modelling for project finance: Financial Analysis and Modeling Using Excel and VBA Chandan Sengupta, 2009-11-09 An updated look at the theory and practice of financial analysis and modeling Financial Analysis and Modeling Using Excel and VBA, Second Edition presents a comprehensive approach to analyzing financial problems and developing simple to sophisticated financial models in all major areas of finance using Excel 2007 and VBA (as well as earlier versions of both). This expanded and fully updated guide reviews all the necessary financial theory and concepts, and walks you through a wide range of real-world financial problems and models that you can learn from, use for practice, and easily adapt for work and classroom use. A companion website includes several useful modeling tools and fully working versions of all the models discussed in the book. Teaches financial analysis and modeling and illustrates advanced features of Excel and VBA, using a learn-by-doing approach Contains detailed coverage of the powerful features of Excel 2007 essential for financial analysis and modeling, such as the Ribbon interface, PivotTables, data analysis, and statistical analysis Other titles by Sengupta: Financial Modeling Using C++ and The Only Proven Road to Investment Success Designed for self-study, classroom use, and reference This comprehensive guide is an essential read for anyone who has to perform financial analysis or understand and implement financial models. |
| financial modelling for project finance: Financial Modeling in Developing Countries Sean C. Keough, 2018-08-26 This book contains a few of the critical financial management tools and lessons that entrepreneurs, investors and financial professionals need to succeed when doing business in developing markets.⟨br⟩Since moving to Addis Ababa in 2014, I have worked as an investor, advisor and owner-operator in Ethiopia, one of the world''s most exciting developing markets. I now co-manage Ethiopia Investments Ltd., a permanent capital investment vehicle focused on Ethiopia, and serve as General Manager for EQOS Global, Ethiopia''s first dedicated business process outsourcing (BPO) company.⟨br⟩This book has five chapters:* Chapter 1 - My Path to Ethiopia, One of the World''s Most Exciting Developing Markets* Chapter 2 - Why Financial Management Matters More in Developing Markets* Chapter 3 - The Forecast Financial Model* Chapter 4 - Sensitivity Analysis and Other Key Analyses* Chapter 5 - Final Advice for Entrepreneurs in Developing Markets⟨br⟩Chapter 2 walks through issues that are unique to the business environments of developing markets and how they are different than issues faced by companies in more developed markets: * Handling currency devaluations, * Setting dynamic pricing strategies* Managing the treasury function between home and base currencies* Understanding burn-rate* Planning for inflation shocks* Managing net working capital defensively* Forecasting raw materials needs* Planning for supply chain shocks* Forecasting market demands* Planning for flexible tax impacts* And many more...⟨br⟩Chapter 3 includes a detailed walk-through of a Microsoft Excel-based financial model that considers treatment of the issues discussed in Chapter 2.⟨br⟩Chapter 4 makes use of the Microsoft Excel-based financial model to give you greater control and understanding over the variables that impact your business. This chapter will help you answer questions like, How does the change in the price of my products on the export market impact my cash burn-rate in my home market? or How would a large currency devaluation impact the price that an investor would pay for a stake of equity in my business?⟨br⟩Finally, Chapter 5 includes advice for entrepreneurs, both local and expat, thinking about what it would take to set-up shop in a developing market. ⟨br⟩I wrote this book with the following six audiences in mind:* Entrepreneurs - This book is for entrepreneurs in developing markets who are either in the process of setting up a new business or considering it. A developing entrepreneur can be either a local entrepreneur or an immigrant (expat) entrepreneur and the advice in this book will be helpful no matter where you are from.* Investors - This book is for investors who are focused on developing markets and hoping to understand how the approach that works in more developed markets may look completely different for developing markets. * Financial professionals - This book is also for financial professionals such as CFOs, Finance Managers and Financial Analysts looking to understand how business practices in developing economies differ from more developed markets. * Investment Advisors - This book is also for investment advisors building advisory practices in developing countries who are hoping to bridge the gap between developing and developed markets.* Students - This book is also for students, both formal and informal, looking to learn more about business in developing countries. * Professionals - Finally, this book is for professionals interested in learning more about doing business in developing countries. ⟨br⟩This is the book that I wish I had when left my investment banking job and got on the plane from San Francisco to Addis Ababa in January 2014. Every lesson in this book has been learned by my team and me, sometimes painfully, and I hope that you find it to be helpful for you as you take on similar challenges, no matter where you are trying to operate. |
| financial modelling for project finance: Project Finance for Construction and Infrastructure Frederik Pretorius, Berry-Fong Chung-Hsu, Arthur McInnes, Paul Lejot, Douglas Arner, 2008-04-30 This is a self-contained text on the logic and institutions of project finance, supplemented by a series of project finance case studies illustrating applications in different economic environments, across different jurisdictions and at different stages of development. It will introduce an analytical framework drawing on applied institutional economics that includes and concentrates primarily on an analysis of the institutional logic behind generic project finance arrangements. The application of the institutional framework will be demonstrated with project cases from Hong Kong, Thailand, India, Europe and Azerbaijan – each at different stages of development. While each project case will have a general theme and will highlight aspects of interest to built environment professionals, it will primarily be used to illustrate one or more specific PF/PFI principle. |
| financial modelling for project finance: Project Finance for the International Petroleum Industry Robert Clews, 2016-04-07 This overview of project finance for the oil and gas industry covers financial markets, sources and providers of finance, financial structures, and capital raising processes. About US$300 billion of project finance debt is raised annually across several capital intensive sectors—including oil and gas, energy, infrastructure, and mining—and the oil and gas industry represents around 30% of the global project finance market. With over 25 year's project finance experience in international banking and industry, author Robert Clews explores project finance techniques and their effectiveness in the petroleum industry. He highlights the petroleum industry players, risks, economics, and commercial/legal arrangements. With petroleum industry projects representing amongst the largest industrial activities in the world, this book ties together concepts and tools through real examples and aims to ensure that project finance will continue to play a central role in bringing together investors and lenders to finance these ventures. - Combines the theory and practice of raising long-term funding for capital intensive projects with insights about the appeal of project finance to the international oil and gas industry - Includes case studies and examples covering projects in the Arctic, East Africa, Latin America, North America, and Australia - Emphasizes the full downstream value chain of the industry instead of limiting itself to upstream and pipeline project financing - Highlights petroleum industry players, risks, economics, and commercial and legal arrangements |
| financial modelling for project finance: Models & Methods for Project Selection Samuel B. Graves, Jeffrey L. Ringuest, 2012-12-06 Models & Methods for Project Selection systematically examines in this book treatment the latest work in the field of project selection modeling. The models presented are drawn from mathematical programming, decision theory, and finance. These models are examined in two categorical streams: the management science stream and the financial model stream. The book describes the assumptions and limitations of each model and provides appropriate solution methodologies. Its organization follows three main themes: *Criteria for Choice: Chapters 1-3 investigate the effect of the choice of optimization criteria on the results of the portfolio optimization problem. *Risk and Uncertainty: Chapters 4-7 deal with uncertainty in the project selection problem. *Non-Linearity and Interdependence: These chapters deal with problems of non-linearity and interdependence as they arise in the project selection problem. Chapters 8, 9 and 10 present solution methodologies, which can be used to solve these most general project selection models. |
| financial modelling for project finance: Renewable Energy Finance Santosh Raikar, Seabron Adamson, 2024-09-20 Renewable Energy Finance: Theory and Practice, Second Edition integrates the special characteristics of renewable energy with key elements of project finance. Through a mixture of fundamental analysis and real-life examples, readers learn how renewable energy project finance deals mix finance, public policy, legal, engineering and environmental issues. This book investigates the economics of large-scale green power production and incentive mechanisms and how they fit into the global energy industries. It also examines how distributed energy resources such as residential solar and batteries can be financed at the scale needed to play a significant role in the future energy mix. The authors examine how renewable energy projects get financed and built using modern non-recourse project finance structures. It also highlights recent innovations such as Green Bonds and Sustainability Linked Loans that have emerged in the context of ESG investments. The scope of the book is global, and it illustrates how renewable energy project finance has evolved in various places (such as the tax-equity structures used in the United States, due to the corporate tax incentives used there) to cope with local regulatory and policy environments. - Supports efforts to achieve environmental sustainability through renewable financing projects and cleaner production techniques - Provides some real-life case studies to help readers to understand how a project gets financed and built, including the critical interplays between the different financing elements based on how real deals are done - Offers project finance models on a companion website—for wind and solar projects, for example—based on real investment banking experience that can form the basis for student projects and independent study - New to this edition: two new chapters on Addressing Technology Risks for Successful Clean Energy Transition and Financing Green Hydrogen Projects bring the text up to date |
| financial modelling for project finance: Project Financing Frank J. Fabozzi, Carmel F. de Nahlik, 2012 The eighth edition is a fundamental and essential update to the seventh edition published in 2000. This new edition examines a comprehensive range of existing and newer topics that are relevant to project financing in 2012 and explores current trends in the project finance and leasing industries. |
| financial modelling for project finance: Financing Large Projects M. Fouzul Kabir Khan, Robert J. Parra, 2003 |
| financial modelling for project finance: Machine Learning and Data Science Blueprints for Finance Hariom Tatsat, Sahil Puri, Brad Lookabaugh, 2020-10-01 Over the next few decades, machine learning and data science will transform the finance industry. With this practical book, analysts, traders, researchers, and developers will learn how to build machine learning algorithms crucial to the industry. You'll examine ML concepts and over 20 case studies in supervised, unsupervised, and reinforcement learning, along with natural language processing (NLP). Ideal for professionals working at hedge funds, investment and retail banks, and fintech firms, this book also delves deep into portfolio management, algorithmic trading, derivative pricing, fraud detection, asset price prediction, sentiment analysis, and chatbot development. You'll explore real-life problems faced by practitioners and learn scientifically sound solutions supported by code and examples. This book covers: Supervised learning regression-based models for trading strategies, derivative pricing, and portfolio management Supervised learning classification-based models for credit default risk prediction, fraud detection, and trading strategies Dimensionality reduction techniques with case studies in portfolio management, trading strategy, and yield curve construction Algorithms and clustering techniques for finding similar objects, with case studies in trading strategies and portfolio management Reinforcement learning models and techniques used for building trading strategies, derivatives hedging, and portfolio management NLP techniques using Python libraries such as NLTK and scikit-learn for transforming text into meaningful representations |
| financial modelling for project finance: Hands-On Financial Modeling with Microsoft Excel 2019 Shmuel Oluwa, 2019-07-11 Explore the aspects of financial modeling with the help of clear and easy-to-follow instructions and a variety of Excel features, functions, and productivity tips Key FeaturesA non data professionals guide to exploring Excel's financial functions and pivot tablesLearn to prepare various models for income and cash flow statements, and balance sheetsLearn to perform valuations and identify growth drivers with real-world case studiesBook Description Financial modeling is a core skill required by anyone who wants to build a career in finance. Hands-On Financial Modeling with Microsoft Excel 2019 examines various definitions and relates them to the key features of financial modeling with the help of Excel. This book will help you understand financial modeling concepts using Excel, and provides you with an overview of the steps you should follow to build an integrated financial model. You will explore the design principles, functions, and techniques of building models in a practical manner. Starting with the key concepts of Excel, such as formulas and functions, you will learn about referencing frameworks and other advanced components of Excel for building financial models. Later chapters will help you understand your financial projects, build assumptions, and analyze historical data to develop data-driven models and functional growth drivers. The book takes an intuitive approach to model testing, along with best practices and practical use cases. By the end of this book, you will have examined the data from various use cases, and you will have the skills you need to build financial models to extract the information required to make informed business decisions. What you will learnIdentify the growth drivers derived from processing historical data in ExcelUse discounted cash flow (DCF) for efficient investment analysisBuild a financial model by projecting balance sheets, profit, and lossApply a Monte Carlo simulation to derive key assumptions for your financial modelPrepare detailed asset and debt schedule models in ExcelDiscover the latest and advanced features of Excel 2019Calculate profitability ratios using various profit parametersWho this book is for This book is for data professionals, analysts, traders, business owners, and students, who want to implement and develop a high in-demand skill of financial modeling in their finance, analysis, trading, and valuation work. This book will also help individuals that have and don't have any experience in data and stats, to get started with building financial models. The book assumes working knowledge with Excel. |
| financial modelling for project finance: Project Finance Graham D. Vinter, 1998 Examining the legal issues involved in the tendering, negotiation, financial structuring and management of infrastructure and energy projects, this second edition of the text is updated to reflect over 200 new issues and developments. The volume is written in a practical way to provide guidance on the specific parts of many branches of law that are brought into play in a typical project financing. New sections on risk allocation in power purchase agreements; co-generation; the UK's Private Finance Initiative; and the running of bids in the context of compulsory competitive tendering regimes are also included. There are expanded sections on export credit agencies, force majeure and operating and maintenance agreements. |
| financial modelling for project finance: The Great Mental Models, Volume 1 Shane Parrish, Rhiannon Beaubien, 2024-10-15 Discover the essential thinking tools you’ve been missing with The Great Mental Models series by Shane Parrish, New York Times bestselling author and the mind behind the acclaimed Farnam Street blog and “The Knowledge Project” podcast. This first book in the series is your guide to learning the crucial thinking tools nobody ever taught you. Time and time again, great thinkers such as Charlie Munger and Warren Buffett have credited their success to mental models–representations of how something works that can scale onto other fields. Mastering a small number of mental models enables you to rapidly grasp new information, identify patterns others miss, and avoid the common mistakes that hold people back. The Great Mental Models: Volume 1, General Thinking Concepts shows you how making a few tiny changes in the way you think can deliver big results. Drawing on examples from history, business, art, and science, this book details nine of the most versatile, all-purpose mental models you can use right away to improve your decision making and productivity. This book will teach you how to: Avoid blind spots when looking at problems. Find non-obvious solutions. Anticipate and achieve desired outcomes. Play to your strengths, avoid your weaknesses, … and more. The Great Mental Models series demystifies once elusive concepts and illuminates rich knowledge that traditional education overlooks. This series is the most comprehensive and accessible guide on using mental models to better understand our world, solve problems, and gain an advantage. |
| financial modelling for project finance: Machine Learning in Finance Matthew F. Dixon, Igor Halperin, Paul Bilokon, 2020-07-01 This book introduces machine learning methods in finance. It presents a unified treatment of machine learning and various statistical and computational disciplines in quantitative finance, such as financial econometrics and discrete time stochastic control, with an emphasis on how theory and hypothesis tests inform the choice of algorithm for financial data modeling and decision making. With the trend towards increasing computational resources and larger datasets, machine learning has grown into an important skillset for the finance industry. This book is written for advanced graduate students and academics in financial econometrics, mathematical finance and applied statistics, in addition to quants and data scientists in the field of quantitative finance. Machine Learning in Finance: From Theory to Practice is divided into three parts, each part covering theory and applications. The first presents supervised learning for cross-sectional data from both a Bayesian and frequentist perspective. The more advanced material places a firm emphasis on neural networks, including deep learning, as well as Gaussian processes, with examples in investment management and derivative modeling. The second part presents supervised learning for time series data, arguably the most common data type used in finance with examples in trading, stochastic volatility and fixed income modeling. Finally, the third part presents reinforcement learning and its applications in trading, investment and wealth management. Python code examples are provided to support the readers' understanding of the methodologies and applications. The book also includes more than 80 mathematical and programming exercises, with worked solutions available to instructors. As a bridge to research in this emergent field, the final chapter presents the frontiers of machine learning in finance from a researcher's perspective, highlighting how many well-known concepts in statistical physics are likely to emerge as important methodologies for machine learning in finance. |
| financial modelling for project finance: Financial Forecasting, Analysis, and Modelling Michael Samonas, 2015-01-20 Risk analysis has become critical to modern financial planning Financial Forecasting, Analysis and Modelling provides a complete framework of long-term financial forecasts in a practical and accessible way, helping finance professionals include uncertainty in their planning and budgeting process. With thorough coverage of financial statement simulation models and clear, concise implementation instruction, this book guides readers step-by-step through the entire projection plan development process. Readers learn the tools, techniques, and special considerations that increase accuracy and smooth the workflow, and develop a more robust analysis process that improves financial strategy. The companion website provides a complete operational model that can be customised to develop financial projections or a range of other key financial measures, giving readers an immediately-applicable tool to facilitate effective decision-making. In the aftermath of the recent financial crisis, the need for experienced financial modelling professionals has steadily increased as organisations rush to adjust to economic volatility and uncertainty. This book provides the deeper level of understanding needed to develop stronger financial planning, with techniques tailored to real-life situations. Develop long-term projection plans using Excel Use appropriate models to develop a more proactive strategy Apply risk and uncertainty projections more accurately Master the Excel Scenario Manager, Sensitivity Analysis, Monte Carlo Simulation, and more Risk plays a larger role in financial planning than ever before, and possible outcomes must be measured before decisions are made. Uncertainty has become a critical component in financial planning, and accuracy demands it be used appropriately. With special focus on uncertainty in modelling and planning, Financial Forecasting, Analysis and Modelling is a comprehensive guide to the mechanics of modern finance. |
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