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| driver based financial modeling: 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. |
| driver based financial modeling: Financial Modeling for Decision Making Ron Messer, 2020-09-01 This book provides accounting students in post-secondary institutions with an advanced level understanding of how to use MS-Excel to make business decisions. It reflects real-life applications of this important analytical tool, which has become the accepted industry standard for spreadsheet software. |
| driver based financial modeling: The Handbook of Financial Modeling Jack Avon, 2020-11-25 Financial modeling is a crucial concept for business leaders to understand and execute effectively, but few have the tools necessary to do so. While many professionals are familiar with financial statements and accounting reports, not many are truly proficient at building an accurate and practical financial model from the ground up. The Handbook of Financial Modeling provides these skills and so much more. Now in its second edition, The Handbook of Financial Modeling takes into account the new tech released since its successful initial release. Author Jack Avon uses his expertise to analyze the changes and improvements in industry-wide financial modeling through the past five years, in addition to instilling core concepts for readers of all experience levels. Approaching your company’s financial issues with a modeler’s perspective will transform and improve the rest of your business career’s trajectory. Financial professionals, students, business leaders, aspiring CFOs, and more will come away with all the tools necessary to precisely and efficiently monitor an organization’s assets and project future performance. The engaging case studies and Avon’s expert analysis leave you prepared to monitor and predict your organization’s finances effectively. Financial modeling’s latest technology is at your fingertips, and this book’s deep understanding of the topic ensures that you stay ahead of the pack. What You Will Learn Approach financial issues and solutions from a modeler's perspective Discover the importance of thinking about end users when developing a financial model Plan, design, and build a fully functional financial modelWho This Book Is For Analysts who would typically be middle management, VPs, and associates. It is also written for business graduates and MBA students. |
| driver based financial modeling: Financial Modeling, Actuarial Valuation and Solvency in Insurance Mario V. Wüthrich, Michael Merz, 2013-04-04 Risk management for financial institutions is one of the key topics the financial industry has to deal with. The present volume is a mathematically rigorous text on solvency modeling. Currently, there are many new developments in this area in the financial and insurance industry (Basel III and Solvency II), but none of these developments provides a fully consistent and comprehensive framework for the analysis of solvency questions. Merz and Wüthrich combine ideas from financial mathematics (no-arbitrage theory, equivalent martingale measure), actuarial sciences (insurance claims modeling, cash flow valuation) and economic theory (risk aversion, probability distortion) to provide a fully consistent framework. Within this framework they then study solvency questions in incomplete markets, analyze hedging risks, and study asset-and-liability management questions, as well as issues like the limited liability options, dividend to shareholder questions, the role of re-insurance, etc. This work embeds the solvency discussion (and long-term liabilities) into a scientific framework and is intended for researchers as well as practitioners in the financial and actuarial industry, especially those in charge of internal risk management systems. Readers should have a good background in probability theory and statistics, and should be familiar with popular distributions, stochastic processes, martingales, etc. |
| driver based financial modeling: The Nonprofit Business Plan David La Piana, Heather Gowdy, Lester Olmstead-Rose, Brent Copen, 2017-03-24 A fresh, compelling approach to establishing a sustainable, results-driven nonprofit business plan. Nonprofits often use the terms “strategic planning” and “business planning” interchangeably, but a good business plan goes beyond the traditional strategic plan with its focus on mission and vision, goals and objectives. The Nonprofit Business Plan, created by the nationally recognized nonprofit consultant experts at La Piana Consulting, helps your nonprofit organization understand what a strategic business plan is and why you need one, then provides a practical, proven process for creating a successful, sustainable business model. This groundbreaking resource further explains how your nonprofit can determine whether a potential undertaking is economically viable—a vital tool in today’s economic climate—and how to understand and solve challenges as they arise. With detailed instructions, worksheets, essential tools, case studies, and a rigorous financial analysis presented clearly and accessibly for executives, board members, and consultants, The Nonprofit Business Plan is also an important resource for non-specialist audiences such as potential funders and investors. This innovative step-by-step guide will provide your team with a solid set of business decisions so that your nonprofit can achieve maximum results for years to come. |
| driver based financial modeling: Wiley Guide to Fair Value Under IFRS James P. Catty, 2010-04-09 Your one indispensable guide to all the Fair Value requirements of IFRS Acomplete guide to the complex valuation requirements of IFRS, this book includes chapters on theoretical and practical applications, with extensive examples illustrating the required techniques for each application. Appropriate for anyone involved professionally with finance—managers, accountants, investors, bankers, instructors, and students—this guide draws on a stellar panel of expert contributors from fourteen countries who provide international coverage and insight into a diverse range of topics, including: Fair Value in implementing IFRS Market Approach Income Approach—Capitalization and Discounting Methods Economic and Industry Conditions Cost of Capital Financial Statement Analyses Impairment Testing Intellectual Property Rights (patents, copyrights, trademarks) Projecting Financial Statements Liabilities Customer Relationships Share-based Payment Plant and Equipment Guide to Fair Value Under IFRS is the first international valuation book of its kind. Fully compliant with the Certified Valuation Analyst curriculum, it provides detailed guidance as to how fair value is to be determined and fills numerous gaps in common understanding of IFRS requirements. |
| driver based financial modeling: The Mathematics of Financial Modeling and Investment Management Sergio M. Focardi, Frank J. Fabozzi, 2004-04-12 the mathematics of financial modeling & investment management The Mathematics of Financial Modeling & Investment Management covers a wide range of technical topics in mathematics and finance-enabling the investment management practitioner, researcher, or student to fully understand the process of financial decision-making and its economic foundations. This comprehensive resource will introduce you to key mathematical techniques-matrix algebra, calculus, ordinary differential equations, probability theory, stochastic calculus, time series analysis, optimization-as well as show you how these techniques are successfully implemented in the world of modern finance. Special emphasis is placed on the new mathematical tools that allow a deeper understanding of financial econometrics and financial economics. Recent advances in financial econometrics, such as tools for estimating and representing the tails of the distributions, the analysis of correlation phenomena, and dimensionality reduction through factor analysis and cointegration are discussed in depth. Using a wealth of real-world examples, Focardi and Fabozzi simultaneously show both the mathematical techniques and the areas in finance where these techniques are applied. They also cover a variety of useful financial applications, such as: * Arbitrage pricing * Interest rate modeling * Derivative pricing * Credit risk modeling * Equity and bond portfolio management * Risk management * And much more Filled with in-depth insight and expert advice, The Mathematics of Financial Modeling & Investment Management clearly ties together financial theory and mathematical techniques. |
| driver based financial modeling: Introduction to Lean Financial Model IntroBooks, 2016-01-29 The financial services quarter has been a straggler in implementing lean tools and exercises, possibly for the reason that of their industrializing origins. But those approaches are slowly altering. As more banks find out the paybacks of lean processes such as minor costs, lesser errors, quicker cycle eras and far better competences wide-scale acceptance by the industry is just a subject of time. But old habits often die hard, and slowly. Keeping this scenario in mind, this book Introduction to Lean Financial Model has been fashioned in a very organized as well as understandable manner which is very easy for a reader to grasp; especially the ones for whom this topic is totally new. In this book you will come across all the important aspects which are discussed in sequence. These include the following: The lean start-up Lean Financial Model What is required to start a lean financial model? Top 9 highlights of lean financial model Completing lean financial model An example of how to create lean financial model What makes financial model simpler than you think ****************************** IntroBooks delivers up to the minute information covering everything on a topic in only one hour of reading. This book is written to give essential information in a straight-to-the-point, easy to read format. We have cut out technical jargon, waffle and unnecessary filler to ensure you get the essential information you need to achieve your goals with confidence. |
| driver based financial modeling: Investment Banking Joshua Rosenbaum, Joshua Pearl, 2020-03-20 A timely update to the global bestselling book on investment banking and valuation – this new edition reflects valuable contributions from Nasdaq and the global law firm Latham & Watkins LLP plus access to the online valuation models and course. In the constantly evolving world of finance, a solid technical foundation is an essential tool for success. Due to the fast-paced nature of this world, however, no one was able to take the time to properly codify its lifeblood--namely, valuation and dealmaking. Rosenbaum and Pearl originally responded to this need in 2009 by writing the first edition of the book that they wish had existed when they were trying to break into Wall Street. Investment Banking: Valuation, LBOs, M&A, and IPOs, 3rd Edition is a highly accessible and authoritative book written by investment bankers that explains how to perform the valuation work and financial analysis at the core of Wall Street – comparable companies, precedent transactions, DCF, LBO, M&A analysis...and now IPO analytics and valuation. Using a step-by-step, how-to approach for each methodology, the authors build a chronological knowledge base and define key terms, financial concepts, and processes throughout the book. The genesis for the original book stemmed from the authors' personal experiences as students interviewing for investment banking positions. As they both independently went through the rigorous process, they realized that their classroom experiences were a step removed from how valuation and financial analysis were performed in real-world situations. Consequently, they created this book to provide a leg up to those individuals seeking or beginning careers on Wall Street – from students at undergraduate universities and graduate schools to career changers looking to break into finance. Now, over 10 years after the release of the first edition, the book is more relevant and topical than ever. It is used in over 200 universities globally and has become a go-to resource for investment banks, private equity, investment firms, and corporations undertaking M&A transactions, LBOs, IPOs, restructurings, and investment decisions. While the fundamentals haven't changed, the environment must adapt to changing market developments and conditions. As a result, Rosenbaum and Pearl have updated their widely adopted book accordingly, turning the latest edition of Investment Banking: Valuation, LBOs, M&A, and IPOs into a unique and comprehensive training package, which includes: Two new chapters covering IPOs plus insightful contributions from Nasdaq, the leading U.S. exchange and technology provider for IPOs and new listings, and global law firm Latham & Watkins LLP Access to six downloadable valuation model templates, including Comparable Companies Analysis, Precedent Transactions Analysis, Discounted Cash Flow Analysis, Leveraged Buyout Analysis, M&A Analysis, and IPO Valuation Six-month access to online Wiley Investment Banking Valuation Course featuring bite-sized lessons, over five hours of video lectures, 100+ practice questions, and other investment banking study tools Launch your career on Wall Street and hone your financial expertise with Rosenbaum and Pearl’s real-world knowledge and forward-looking guidance in the latest edition of Investment Banking: Valuation, LBOs, M&A, and IPOs. |
| driver based financial modeling: Running a Food Hub: Volume Two, a Business Operations Guide James Matson, Jeremiah Thayer, Jessica Shaw, 2015-09-17 This report is part of a multi-volume technical report series entitled, Running a Food Hub, with this guide serving as a companion piece to other United States Department of Agriculture (USDA) reports by providing in-depth guidance on starting and running a food hub enterprise. In order to compile the most current information on best management and operations practices, the authors used published information on food hubs, surveyed numerous operating food hubs, and pulled from their existing experience and knowledge of working directly with food hubs across the country as an agricultural business consulting firm. The report’s main focus is on the operational issues faced by food hubs, including choosing an organizational structure, choosing a location, deciding on infrastructure and equipment, logistics and transportation, human resources, and risks. As such, the guide explores the different decision points associated with the organizational steps for starting and implementing a food hub. For some sections, sidebars provide “decision points,” which food hub managers will need to address to make key operational decisions. This illustrated guide may assist the operational staff at small businesses or third-party organizations that may provide aggregation, marketing, and distribution services from local and regional producers to assist with wholesale, retail, and institution demand at government institutions, colleges/universities, restaurants, grocery store chains, etc. Undergraduate students pursuing coursework for a bachelor of science degree in food science, or agricultural economics may be interested in this guide. Additionally, this reference work will be helpful to small businesses within the food trade discipline. |
| driver based financial modeling: Financial Modelling in Python Shayne Fletcher, Christopher Gardner, 2010-10-28 Fletcher and Gardner have created a comprehensive resource that will be of interest not only to those working in the field of finance, but also to those using numerical methods in other fields such as engineering, physics, and actuarial mathematics. By showing how to combine the high-level elegance, accessibility, and flexibility of Python, with the low-level computational efficiency of C++, in the context of interesting financial modeling problems, they have provided an implementation template which will be useful to others seeking to jointly optimize the use of computational and human resources. They document all the necessary technical details required in order to make external numerical libraries available from within Python, and they contribute a useful library of their own, which will significantly reduce the start-up costs involved in building financial models. This book is a must read for all those with a need to apply numerical methods in the valuation of financial claims. –David Louton, Professor of Finance, Bryant University This book is directed at both industry practitioners and students interested in designing a pricing and risk management framework for financial derivatives using the Python programming language. It is a practical book complete with working, tested code that guides the reader through the process of building a flexible, extensible pricing framework in Python. The pricing frameworks' loosely coupled fundamental components have been designed to facilitate the quick development of new models. Concrete applications to real-world pricing problems are also provided. Topics are introduced gradually, each building on the last. They include basic mathematical algorithms, common algorithms from numerical analysis, trade, market and event data model representations, lattice and simulation based pricing, and model development. The mathematics presented is kept simple and to the point. The book also provides a host of information on practical technical topics such as C++/Python hybrid development (embedding and extending) and techniques for integrating Python based programs with Microsoft Excel. |
| driver based financial modeling: Changing the Game Graham Christie, Michael Vullings, 2021-06-25 The Complete and Comprehensive Guide to Business Transformation As digital technologies and consumer expectations continue to disrupt almost every industry sector, companies are placing greater emphasis on developing and implementing transformation programs. Changing the Game offers the practical knowledge required to create a dramatic step-change in company performance. Designed for executives and managers responsible for a transformation in any type of company and situation, this comprehensive real-world playbook covers the change process from start to finish — from assessing the situation and determining strategic priorities, to developing a roadmap, establishing the governance structure, managing initiative delivery, and evaluating the impact of the transformation. Adopting a robust and pragmatic approach to every stage of business transformation, this authoritative volume explains where to start, identifies key areas of focus, and describes the strategies, decisions, and actions necessary for achieving results. Throughout the text, case studies of leading organizations highlight essential tools and approaches, examine key challenges, and evaluate their impact. A wealth of practical tools help readers build a foundation for change in their organization, define a clear path forward, mobilize teams, assign responsibilities, execute initiatives, track progress, sustain momentum, and more. Provides detailed guidance on envisioning, designing, managing, and delivering a successful company, function or team transformation Enables readers to create a dramatic change in company performance with a results-focused approach based on leading management practices Contains more than 20 in-depth sections representing the entire transformation journey Includes numerous ready-to-use tools and templates, including 50 exhibits, that can be adopted in any organization to accelerate results Features tips and advice from top-level executives at leading companies and government organizations Changing the Game: The Playbook for Leading Business Transformation is an invaluable step-by-step blueprint for executives, managers, teams, and consultants involved in devising and executing transformation programs. |
| driver based financial modeling: Financial Management Exam Study Guide , Welcome to the forefront of knowledge with Cybellium, your trusted partner in mastering the cutting-edge fields of IT, Artificial Intelligence, Cyber Security, Business, Economics and Science. Designed for professionals, students, and enthusiasts alike, our comprehensive books empower you to stay ahead in a rapidly evolving digital world. * Expert Insights: Our books provide deep, actionable insights that bridge the gap between theory and practical application. * Up-to-Date Content: Stay current with the latest advancements, trends, and best practices in IT, Al, Cybersecurity, Business, Economics and Science. Each guide is regularly updated to reflect the newest developments and challenges. * Comprehensive Coverage: Whether you're a beginner or an advanced learner, Cybellium books cover a wide range of topics, from foundational principles to specialized knowledge, tailored to your level of expertise. Become part of a global network of learners and professionals who trust Cybellium to guide their educational journey. www.cybellium.com |
| driver based financial modeling: The Essentials of Financial Modeling in Excel Michael Rees, 2023-02-06 A concise and practical guide to financial modeling in Excel In The Essentials of Financial Modeling in Excel: A Concise Guide to Concepts and Methods, veteran quantitative modeling and business analysis expert Dr. Michael Rees delivers a practical and hands-on introduction to financial modeling in Excel. The author offers readers a well-structured and strategic toolkit to learn modeling from scratch, focusing on the core economic concepts and the structures commonly required within Excel models. Divided into six parts, the book discusses the use of models and the factors to consider when designing and building models so that they can be as powerful as possible, yet simple. . Readers will also find: The foundational structures and calculations most frequently used in modeling, including growth- and ratio-based methods, corkscrews, and waterfall analysis Walkthroughs of economic modeling, measurement, and evaluation, and the linking of these to the decision criteria. These include breakeven and payback analysis, compounding, discounting, calculation of returns, loan calculations, and others Structured approaches for modeling in corporate finance, including financial statement modeling, cash flow valuation, cost of capital, and ratio analysis Techniques to implement sensitivity and scenario analysis Core aspects of statistical analysis, including data preparation, manipulation, and integration The use of approximately 100 Excel functions within example modeling contexts Further Topics Sections, which introduce advanced aspects of many areas, in order to provide further benefit to more advance readers, whilst presenting the truly essential topics separately. Examples of these include introductions to PowerQuery and PowerPivot, as well as advanced waterfall structures An invaluable, all-in-one blueprint for learning financial modeling in Excel, this book is ideal for beginning and intermediate financial professionals and students seeking to build and reinforce essential topics in financial modeling. |
| driver based financial modeling: The Impact of Digital Transformation and FinTech on the Finance Professional Volker Liermann, Claus Stegmann, 2019-10-02 This book demystifies the developments and defines the buzzwords in the wide open space of digitalization and finance, exploring the space of FinTech through the lens of the financial services professional and what they need to know to stay ahead. With chapters focusing on the customer interface, payments, smart contracts, workforce automation, robotics, crypto currencies and beyond, this book aims to be the go-to guide for professionals in financial services and banking on how to better understand the digitalization of their industry. The book provides an outlook of the impact digitalization will have in the daily work of a CFO/CRO and a structural influence to the financial management (including risk management) department of a bank. |
| driver based financial modeling: Financial Modeling in Excel For Dummies Danielle Stein Fairhurst, 2017-04-11 Make informed business decisions with the beginner's guide to financial modeling using Microsoft Excel Financial Modeling in Excel For Dummies is your comprehensive guide to learning how to create informative, enlightening financial models today. Not a math whiz or an Excel power-user? No problem! All you need is a basic understanding of Excel to start building simple models with practical hands-on exercises and before you know it, you'll be modeling your way to optimized profits for your business in no time. Excel is powerful, user-friendly, and is most likely already installed on your computer—which is why it has so readily become the most popular financial modeling software. This book shows you how to harness Excel's capabilities to determine profitability, develop budgetary projections, model depreciation, project costs, value assets and more. You'll learn the fundamental best practices and know-how of financial modeling, and how to put them to work for your business and your clients. You'll learn the tools and techniques that bring insight out of the numbers, and make better business decisions based on quantitative evidence. You'll discover that financial modeling is an invaluable resource for your business, and you'll wonder why you've waited this long to learn how! Companies around the world use financial modeling for decision making, to steer strategy, and to develop solutions. This book walks you through the process with clear, expert guidance that assumes little prior knowledge. Learn the six crucial rules to follow when building a successful financial model Discover how to review and edit an inherited financial model and align it with your business and financial strategy Solve client problems, identify market projections, and develop business strategies based on scenario analysis Create valuable customized templates models that can become a source of competitive advantage From multinational corporations to the mom-and-pop corner store, there isn't a business around that wouldn't benefit from financial modeling. No need to buy expensive specialized software—the tools you need are right there in Excel. Financial Modeling in Excel For Dummies gets you up to speed quickly so you can start reaping the benefits today! |
| driver based financial modeling: 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. |
| driver based financial modeling: Regression Modeling with Actuarial and Financial Applications Edward W. Frees, 2010 This book teaches multiple regression and time series and how to use these to analyze real data in risk management and finance. |
| driver based financial modeling: Financial Modeling Stephane Crepey, 2013-06-13 Backward stochastic differential equations (BSDEs) provide a general mathematical framework for solving pricing and risk management questions of financial derivatives. They are of growing importance for nonlinear pricing problems such as CVA computations that have been developed since the crisis. Although BSDEs are well known to academics, they are less familiar to practitioners in the financial industry. In order to fill this gap, this book revisits financial modeling and computational finance from a BSDE perspective, presenting a unified view of the pricing and hedging theory across all asset classes. It also contains a review of quantitative finance tools, including Fourier techniques, Monte Carlo methods, finite differences and model calibration schemes. With a view to use in graduate courses in computational finance and financial modeling, corrected problem sets and Matlab sheets have been provided. Stéphane Crépey’s book starts with a few chapters on classical stochastic processes material, and then... fasten your seatbelt... the author starts traveling backwards in time through backward stochastic differential equations (BSDEs). This does not mean that one has to read the book backwards, like a manga! Rather, the possibility to move backwards in time, even if from a variety of final scenarios following a probability law, opens a multitude of possibilities for all those pricing problems whose solution is not a straightforward expectation. For example, this allows for framing problems like pricing with credit and funding costs in a rigorous mathematical setup. This is, as far as I know, the first book written for several levels of audiences, with applications to financial modeling and using BSDEs as one of the main tools, and as the song says: it's never as good as the first time. Damiano Brigo, Chair of Mathematical Finance, Imperial College London While the classical theory of arbitrage free pricing has matured, and is now well understood and used by the finance industry, the theory of BSDEs continues to enjoy a rapid growth and remains a domain restricted to academic researchers and a handful of practitioners. Crépey’s book presents this novel approach to a wider community of researchers involved in mathematical modeling in finance. It is clearly an essential reference for anyone interested in the latest developments in financial mathematics. Marek Musiela, Deputy Director of the Oxford-Man Institute of Quantitative Finance |
| driver based financial modeling: The Budget and Structure of the Ministry of Justice Great Britain: Parliament: House of Commons: Justice Committee, 2012-08-18 Incorporating HC 1679-i-v, Session 2010-12. Report is contained in Volume 1 (ISBN 9780215047557) |
| driver based financial modeling: Valuation McKinsey & Company Inc., Tim Koller, Marc Goedhart, David Wessels, 2010-07-16 The number one guide to corporate valuation is back and better than ever Thoroughly revised and expanded to reflect business conditions in today's volatile global economy, Valuation, Fifth Edition continues the tradition of its bestselling predecessors by providing up-to-date insights and practical advice on how to create, manage, and measure the value of an organization. Along with all new case studies that illustrate how valuation techniques and principles are applied in real-world situations, this comprehensive guide has been updated to reflect new developments in corporate finance, changes in accounting rules, and an enhanced global perspective. Valuation, Fifth Edition is filled with expert guidance that managers at all levels, investors, and students can use to enhance their understanding of this important discipline. Contains strategies for multi-business valuation and valuation for corporate restructuring, mergers, and acquisitions Addresses how you can interpret the results of a valuation in light of a company's competitive situation Also available: a book plus CD-ROM package (978-0-470-42469-8) as well as a stand-alone CD-ROM (978-0-470-42457-7) containing an interactive valuation DCF model Valuation, Fifth Edition stands alone in this field with its reputation of quality and consistency. If you want to hone your valuation skills today and improve them for years to come, look no further than this book. |
| driver based financial modeling: Basics of Financial Reporting & Analysis for Small to Medium-Sized Businesses Norman Oro, 2015-05-20 This ebook is an introduction to the essentials of the finance function within a private business. Specifically, it is intended to be a modestly priced overview for those who have limited experience with financial reports and are considering or already running a privately-held small to medium-sized business. It would also serve as a useful resource for finance people working in such companies. This book is written to impart a solid general understanding of financial reporting and analysis to help the reader realize their business goals. The text assumes a general knowledge of finance, as well as an understanding of high school level math and statistics. |
| driver based financial modeling: Performance Management Gary Cokins, 2009-03-17 Praise for Praise for Performance Management: Integrating Strategy Execution, Methodologies, Risk, and Analytics A highly accessible collection of essays on contemporary thinking in performance management. Readers will get excellent overviews on the Balanced Scorecard, strategy maps, incentives, management accounting, activity-based costing, customer lifetime value, and sustainable shareholder value creation. —Robert S. Kaplan, Harvard Business School; coauthor of The Balanced Scorecard: Translating Strategy into Action, The Execution Premium, and many other books Gary Cokins demonstrates in this book that performance management is not a mysterious black art, but a structured, process-oriented discipline. If you want your performance management system to be a smoothly running analytical machine, read and apply the ideas in this book—it's all you need. —Thomas H. Davenport, President's Distinguished Professor of Information Technology and Management, Babson College; coauthor of Competing on Analytics: The New Science of Winning Drawing on a deep reservoir of knowledge and experience gained from hundreds of customer engagements around the world, Gary Cokins offers an authoritative examination of the major dimensions of performance management. Cokins not only paints a rich and textured view of the major principles and concepts driving performance management implementations, he offers a nuanced look at the important subtleties that can spell the difference between success and failure. This is an informative and enjoyable text to read! —Wayne Eckerson, Director of Research, The Data Warehouse Institute (TDWI); author of Performance Dashboards: Measuring, Monitoring, and Managing Your Business [In this] very insightful book, the view of an integrated performance management framework with a goal to link various operational activities with business strategy is an excellent approach to manage and improve business. Gary's explanation of risk-based performance management, for providing the capability to achieve long-term objectives with reliably calculated risks, is definitely thought provoking. —Srini Pallia, Global Head and Vice President of Business Technology Services, Wipro Technologies, Bangalore, India Gary Cokins is clearly one of the world's thought leaders in the area of performance management, and the need for integrated performance management, improvement and execution is clearly at a premium in these challenging economic times. This book is a must read for CEOs, CFOs, and management accountants around the globe seeking higher levels of sustainable business performance for their stakeholders. —Jeffrey C. Thomson, President and CEO, Institute of Management Accountants |
| driver based financial modeling: Outperform with Expectations-Based Management Tom Copeland, Aaron Dolgoff, 2011-09-28 CEOs and managers live and die by delivering superior performance to shareholders. This is why expectations-based management has been developed. Outperform with Expectations-Based Management (EBM) introduces a revolutionary new performance metric that links performance standards, performance measurement, and the achievement of performance. It's easy to say that if a CEO can get performance measurement right, then performance improvement will follow. But what is the right measure of performance, and how do you use it to improve performance? Authors Tom Copeland and Aaron Dolgoff answer these questions and many more, as they show you how to find the measure of performance that has the strongest link to the creation of wealth for the owners of both public and private companies. They answer the puzzle of why growth in earnings is not correlated with shareholder returns and explain the under- and over-investment traps. And they explain how clear communications to investors and managers alike improve value. The bottom line is that share prices go up when companies exceed expectations -- short-term and long-term -- of income statement and balance sheet performance and daily operating value drivers. Gain a complete understanding of EBM and discover how to do this, and much more, while staying competitive in an unforgiving business environment. |
| driver based financial modeling: Hands-On Financial Modeling with Excel for Microsoft 365 Shmuel Oluwa, 2022-06-17 Explore a variety of Excel features, functions, and productivity tips for various aspects of financial modeling Key Features Explore Excel's financial functions and pivot tables with this updated second edition Build an integrated financial model with Excel for Microsoft 365 from scratch Perform financial analysis with the help of real-world use cases Book DescriptionFinancial modeling is a core skill required by anyone who wants to build a career in finance. Hands-On Financial Modeling with Excel for Microsoft 365 explores financial modeling terminologies with the help of Excel. Starting with the key concepts of Excel, such as formulas and functions, this updated second edition will help you to learn all about referencing frameworks and other advanced components for building financial models. As you proceed, you'll explore the advantages of Power Query, learn how to prepare a 3-statement model, inspect your financial projects, build assumptions, and analyze historical data to develop data-driven models and functional growth drivers. Next, you'll learn how to deal with iterations and provide graphical representations of ratios, before covering best practices for effective model testing. Later, you'll discover how to build a model to extract a statement of comprehensive income and financial position, and understand capital budgeting with the help of end-to-end case studies. By the end of this financial modeling Excel book, you'll have examined data from various use cases and have developed the skills you need to build financial models to extract the information required to make informed business decisions.What you will learn Identify the growth drivers derived from processing historical data in Excel Use discounted cash flow (DCF) for efficient investment analysis Prepare detailed asset and debt schedule models in Excel Calculate profitability ratios using various profit parameters Obtain and transform data using Power Query Dive into capital budgeting techniques Apply a Monte Carlo simulation to derive key assumptions for your financial model Build a financial model by projecting balance sheets and profit and loss Who this book is for This book is for data professionals, analysts, traders, business owners, and students who want to develop and implement in-demand financial modeling skills in their finance, analysis, trading, and valuation work. Even if you don't have any experience in data and statistics, this book will help you get started with building financial models. Working knowledge of Excel is a prerequisite. |
| driver based financial modeling: Mergers, Acquisitions, and Other Restructuring Activities Donald M. DePamphilis, 2003 This work includes updated cases and grounded models which reflect the theoretical underpinnings of the field. Expanded usage of key idea section headings enable the student to understand more easily the key point in each section of each chapter. |
| driver based financial modeling: Financial Modeling Joachim Häcker, Dietmar Ernst, 2017-12-11 This book provides a comprehensive introduction to modern financial modeling using Excel, VBA, standards of financial modeling and model review. It offers guidance on essential modeling concepts around the four core financial activities in the modern financial industry today: financial management; corporate finance; portfolio management and financial derivatives. Written in a highly practical, market focused manner, it gives step-by-step guidance on modeling practical problems in a structured manner. Quick and interactive learning is assured due to the structure as a training course which includes applied examples that are easy to follow. All applied examples contained in the book can be reproduced step by step with the help of the Excel files. The content of this book serves as the foundation for the training course Certified Financial Modeler. In an industry that is becoming increasingly complex, financial modeling is a key skill for practitioners across all key sectors of finance and banking, where complicated problems often need to be solved quickly and clearly. This book will equip readers with the basic modeling skills required across the industry today. |
| driver based financial modeling: Valuation Workbook McKinsey & Company Inc., 2020-09-02 A vital companion to the bestselling guide to corporate valuation Valuation Workbook, 7th Edition is the ideal companion to McKinsey's Valuation, helping you get a handle on difficult concepts and calculations before using them in the real world. This workbook reviews all things valuation, with chapter-by-chapter summaries and comprehensive questions and answers that allow you to test your knowledge and skills. Useful both in the classroom and for self-study, this must-have guide is essential for reviewing and applying the renowned McKinsey & Company approach to valuation and reinforces the major topics discussed in detail in the book. Fully updated to align with the latest edition of Valuation, this workbook is an invaluable learning tool for students and professionals alike and an essential part of the McKinsey Valuation suite. |
| driver based financial modeling: Love to Excel Jules Nkansah, 2017-08-22 Starting out your career as an analyst or budding entrepreneur? Looking to upgrade your skills and give yourself a boost? Building your aptitude in financial modelling with this series will give you the edge you need. Financial modelling holds the key to decision-making in business and everyday life, be it through business case and budget development, portfolio analysis or market sizing. In this series, we take you on an uncharted path to building your financial modelling expertise, in an easy to follow, step-by-step case study approach. |
| driver based financial modeling: Value-Based Management in Government Douglas W. Webster, Gary Cokins, 2020-01-22 Provides step-by-step guidance on implementing and using a value-based management system within the government Countless books on proposed management practices have been written and published over the past century. Some of these have focused on specific management practices for government. In more recent decades, the topics of strategic planning, performance management, cost management and risk management have been extensively covered. However, little has been offered as an approach to integrate these and numerous other management methods and practices in a manner that maximizes the delivery of value to the organization’s key stakeholders. A general management framework is presented in this book in a manner particularly applicable to government organizations. Value-Based Management in Government introduces a new, integrating framework for management practices that optimizes the balancing of results sought; resources supplied and allocated; and risks accepted. These considerations are all balanced for the purpose of delivering maximum stakeholder value. The book offers guidance on how strategic planning, performance management, cost/resource management, and risk management must all be integrated as part of a portfolio management framework across the organization. The book also discusses the role of information technology (IT) in providing data for insights and decision-making, and the importance of organizational change management to implement the needed organizational and behavioral changes. Beginning by explaining the concept of Value-Based Management for the public sector and government, the text goes on to explore topics such as the evolutionary stages of maturity of management accounting, the benefit of attributes (e.g., value-add versus nonvalue-add) in cost data, predictive planning with expense projections, risk management, and various performance measurements (e.g., key performance indicators [KPIs] ). This authoritative book: Discusses a framework for balancing and integrating cost, performance, and risk Explains IT systems integration issues related to activity-based cost management (ABC/M) Addresses why some ABC/M implementation projects fail to meet expectations Describes how quality management efforts can be measured in financial terms Explores the wider uses of predictive accounting (e.g., driver-based budgeting, what-if scenario analysis) Provides organizational change management insights and recommendations needed to achieve the required changes in management decision-making. Value-Based Management in Government is an important source of information for leaders, executives, managers, and employee teams working within or with government organizations. |
| driver based financial modeling: Enterprise Growth Strategy Dhirendra Kumar, 2010 Even during economic downturns businesses have to grow to survive and compete in domestic and international markets. There is always a need to plan for future growth. Enterprise Growth Strategy presents the total process of a growth strategy. Dr Kumar is an engineer who entered the academic world following a long career in manufacturing business and has since taught almost every aspect of business and management. The 'growth strategy' concept he has developed is comprehensive and manifestly practical. Dr Kumar describes mechanisms by which businesses can gain market share; develop, modify, or upgrade products; acquire new or expand existing businesses; transform resources to increase revenue and profitability; reduce cycle time; and empower business associates. Quality concepts - market growth, financial and core competency - are outlined and a variety of growth strategy tools presented. The relationship between continuous improvement metrics and business growth metrics is explained and their relevance to financial performance examined. Examples and case studies are presented to illustrate how different business areas such as Sales and Marketing; Product Development; Operations; Support Services; and the Finance function, contribute. Leadership responsibilities, employee participation in the execution of growth strategy, culture and change issues are also discussed. Business leaders, managers and consultants, academics and teachers, as well as higher level students on business-related courses will find enormous value in this book. It is unusual, if not unique, in presenting the total process from vision to mission, to development of a growth strategy, implementation of initiatives, use of tools, and measurement of both operational and financial outcomes. |
| driver based financial modeling: Mastering Financial Modeling: A Professional’s Guide to Building Financial Models in Excel Eric Soubeiga, 2013-07-16 All the precision of financial modeling--and none of the complexity Evidence-based decision making is only as good as the external evidence on which it is based. Financial models uncover potential risks on a company’s balance sheet, but the complexity of these instruments has limited their effectiveness. Now, Mastering Financial Modeling offers a simplified method for building the fast and accurate financial models serious evidencebased decision makers need. What sets this practical guide apart is its learning-on-the-job approach. Unlike other books that teach modeling in a vacuum, this superior method uses a diverse collection of case studies to convey each step of the building process. Learning on the job connects the dots between the proper Excel formulas and functions and the real-world situations where you want to use them. By learning through association, you can absorb the information quickly and have it ready to use when you need it. The book starts right off on building models--from creating a standalone cash flow model through integrating it with an income statement and balance sheet. Along the way, you will master the skill set you need to build advanced financial models. With only a basic knowledge of accounting and finance, individual investors and financial professionals alike can: Create a core model and customize it for companies in most industries Understand every working component of a financial model and what each one tells you about a company Format cells and sheets in Excel for easily repeatable modeling Written with the practitioner in mind, Mastering Financial Modeling shows you how to ensure your model is ready for real-world application by safeguarding it against modeling errors. It covers a full array of Excel's builtin auditing and testing tools and illustrates how to build customized error-checking tools of your own to catch the inaccuracies that typically fall through the cracks. Get the most out of your data with Mastering Financial Modeling. Mastering Financial Modeling brings the power of financial models down to earth and puts it in the hands of investors, bankers, and private equity professionals who don't have a passion for crunching numbers. Nowhere else can you get step-by-step instruction on building these valuable tools from an elite World Bank investment officer. Starting from the ground up, Eric Soubeiga shows you how to interpret and build financial models in Microsoft Excel that will accurately assess any company’s valuation and profit potential. Even if you have unsuccessfully tried financial modeling in the past, this book will reach you because it associates every lesson to the business world you work in daily. Chapter by chapter, you will master financial modeling, and in the end, you will: Command authority over building every aspect of a financial model Be capable of explaining the accounting and finance concepts behind the mechanics of modeling Confidently determine a company’s ability to generate cash flows for its capital investors with discounted cash flow (DCF) modeling Execute powerful spreadsheet calculations in Excel Most importantly, as a decision maker, the insight you bring to the table through your sophisticated understanding and application of financial modeling will benefit every stakeholder. See what leading professionals around the world already know--Mastering Financial Modeling is the most comprehensive guide on the market for designing, building, and implementing valuation projection models. What it does from there is up to you. |
| driver based financial modeling: Encyclopedia of Financial Models Frank J. Fabozzi, 2012-10-15 An essential reference dedicated to a wide array of financial models, issues in financial modeling, and mathematical and statistical tools for financial modeling The need for serious coverage of financial modeling has never been greater, especially with the size, diversity, and efficiency of modern capital markets. With this in mind, the Encyclopedia of Financial Models, 3 Volume Set has been created to help a broad spectrum of individuals—ranging from finance professionals to academics and students—understand financial modeling and make use of the various models currently available. Incorporating timely research and in-depth analysis, the Encyclopedia of Financial Models is an informative 3-Volume Set that covers both established and cutting-edge models and discusses their real-world applications. Edited by Frank Fabozzi, this set includes contributions from global financial experts as well as academics with extensive consulting experience in this field. Organized alphabetically by category, this reliable resource consists of three separate volumes and 127 entries—touching on everything from asset pricing and bond valuation models to trading cost models and volatility—and provides readers with a balanced understanding of today's dynamic world of financial modeling. Frank Fabozzi follows up his successful Handbook of Finance with another major reference work, The Encyclopedia of Financial Models Covers the two major topical areas: asset valuation for cash and derivative instruments, and portfolio modeling Fabozzi explores the critical background tools from mathematics, probability theory, statistics, and operations research needed to understand these complex models Organized alphabetically by category, this book gives readers easy and quick access to specific topics sorted by an applicable category among them Asset Allocation, Credit Risk Modeling, Statistical Tools 3 Volumes onlinelibrary.wiley.com Financial models have become increasingly commonplace, as well as complex. They are essential in a wide range of financial endeavors, and this 3-Volume Set will help put them in perspective. |
| driver based financial modeling: 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. |
| driver based financial modeling: Project Finance for Business Development John E. Triantis, 2018-03-12 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. |
| driver based financial modeling: Budgeting, Forecasting, and Planning In Uncertain Times Michael Coveney, Gary Cokins, 2017-04-24 Budgeting, planning and forecasting are critical management tasks that not only impact the future success of an organization, but can threaten its very survival if done badly. Yet in spite of their importance, the speed and complexity of today’s business environment has caused a rapid decrease in the planning time horizon. As a consequence, the traditional planning processes have become unsuitable for most organization’s needs. In this book, students will find new, original insights, including: 7 planning models that every organization needs to plan and manage performance 6 ways in which performance can be viewed A planning framework based on best management practices that can cope with an unpredictable business environment The application of technology to planning and latest developments in systems Results of the survey conducted for the book on the state of planning in organizations |
| driver based financial modeling: The Strategic CFO Ulrich Hommel, Michael Fabich, Ervin Schellenberg, Lutz Firnkorn, 2011-10-20 The role of the Chief Financial Officer (CFO) has substantially changed in a world characterized by globalized financial markets and truly global products. The accelerated development of new technologies, products, and markets has led to an increasingly dynamic and uncertain competitive situation. The book demonstrates and discusses the impact of this changing corporate environment on the role and responsibilities of the CFO. A more holistic view that integrates business and financial decisions is required in order to manage these challenges of globalization. The book shows how the CFO can adopt and implement this management approach and thus play a vital role in the firm’s value creation. |
| driver based financial modeling: Handbook of Recent Advances in Commodity and Financial Modeling Giorgio Consigli, Silvana Stefani, Giovanni Zambruno, 2017-09-30 This handbook includes contributions related to optimization, pricing and valuation problems, risk modeling and decision making problems arising in global financial and commodity markets from the perspective of Operations Research and Management Science. The book is structured in three parts, emphasizing common methodological approaches arising in the areas of interest: - Part I: Optimization techniques - Part II: Pricing and Valuation - Part III: Risk Modeling The book presents to a wide community of Academics and Practitioners a selection of theoretical and applied contributions on topics that have recently attracted increasing interest in commodity and financial markets. Within a structure based on the three parts, it presents recent state-of-the-art and original works related to: - The adoption of multi-criteria and dynamic optimization approaches in financial and insurance markets in presence of market stress and growing systemic risk; - Decision paradigms, based on behavioral finance or factor-based, or more classical stochastic optimization techniques, applied to portfolio selection problems including new asset classes such as alternative investments; - Risk measurement methodologies, including model risk assessment, recently applied to energy spot and future markets and new risk measures recently proposed to evaluate risk-reward trade-offs in global financial and commodity markets; and derivatives portfolio hedging and pricing methods recently put forward in the financial community in the aftermath of the global financial crisis. |
| driver based financial modeling: Management Accounting and Control Michel Charifzadeh, Andreas Taschner, 2017-10-30 Management accounting has been the basic toolbox in business administration for decades. Today it is an integral part of all curricula in business education and no student can afford not to be familiar with its basic concepts and instruments. At the same time, business in general, and management accounting in particular, is becoming more and more international. English clearly has evolved as the lingua franca of international business. Academics, students as well as practitioners exchange their views and ideas, discuss concepts and communicate with each other in English. This is certainly also true for management accounting and control. Management Accounting is becoming more and more international. ?Management Accounting and Control? is a new textbook in English covering concepts and instruments of management accounting at an introductory level (primarily at the Bachelor level, but also suited for general management and MBA courses due to a strong focus on practical relevance). This textbook covers all topics that are relevant in management accounting in business organizations that are typically covered in German and Central European Bachelor courses on management accounting and control. After a general introduction to the field of management accounting and control the book discusses cost management as an extension of cost accounting. Typical cost management instruments such as target costing, life cycle costing and process-based costing approaches are explained in detail. Differences between Anglo-American activity-based costing (ABC) and German process-based costing are highlighted. The book then turns to an extensive discussion of planning and budgeting tasks in management accounting with a strong focus on the practical application of the topic such as developing a budget in practice. Another chapter is dedicated to a comparison of traditional budgeting with modern /alternative budgeting approaches. A major part of the book is dedicated to the broad area of performance management. The relevance of financial statement information for performance management purposes is discussed in detail. In addition, the most widely spread financial performance indicators are illustrated using real-world examples. The book also includes detailed content on value-based management control concepts. In a consecutive chapter, performance measurement is linked with strategy while extensively discussing the Balanced Scorecard as a key tool in strategic performance management. The remaining parts of the book deal with management reporting as one of the main operative tasks in management accounting practice. The book closes with insight into new fields and developments that currently influence management accounting practices and research and promise to play an increasingly important role in the future. |
| driver based financial modeling: The Oxford Guide to Financial Modeling Thomas S. Y. Ho, Sang Bin Lee, 2004-01-15 The essential premise of this book is that theory and practice are equally important in describing financial modeling. In it the authors try to strike a balance in their discussions between theories that provide foundations for financial models and the institutional details that provide the context for applications of the models. The book presents the financial models of stock and bond options, exotic options, investment grade and high-yield bonds, convertible bonds, mortgage-backed securities, liabilities of financial institutions--the business model and the corporate model. It also describes the applications of the models to corporate finance. Furthermore, it relates the models to financial statements, risk management for an enterprise, and asset/liability management with illiquid instruments. The financial models are progressively presented from option pricing in the securities markets to firm valuation in corporate finance, following a format to emphasize the three aspects of a model: the set of assumptions, the model specification, and the model applications. Generally, financial modeling books segment the world of finance as investments, financial institutions, corporate finance, and securities analysis, and in so doing they rarely emphasize the relationships between the subjects. This unique book successfully ties the thought processes and applications of the financial models together and describes them as one process that provides business solutions. Created as a companion website to the book readers can visit www.thomasho.com to gain deeper understanding of the book's financial models. Interested readers can build and test the models described in the book using Excel, and they can submit their models to the site. Readers can also use the site's forum to discuss the models and can browse server based models to gain insights into the applications of the models. For those using the book in meetings or class settings the site provides Power Point descriptions of the chapters. Students can use available question banks on the chapters for studying. |
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