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This book provides a hands-on guide to how financial models are actually implemented and used in practice, on a daily basis, for pricing and risk-management purposes. It shows how to put these models into use in production while minimizing the cost of implementation and maximizing robustness and control. Addressing some of the most important and cutting-edge issues, it describes how to build the necessary models in order to risk manage all the costs involved in options fabrication within the world of equity derivatives and hybrids. This is achieved by extending classical models and improving them in order to account for complex features. The book is primarily aimed at market practitioners (traders, risk managers, risk control, top managers), as well as Masters students in Quantitative/Mathematical Finance. It will also be useful for instructors hoping to enrich their courses with practical examples. The prerequisites are basic stochastic calculus and a general knowledge of financial markets and financial derivatives.
This book provides a hands-on guide to how financial models are actually implemented and used in practice, on a daily basis, for pricing and risk-management purposes. It shows how to put these models into use in production while minimizing the cost of implementation and maximizing robustness and control. Addressing some of the most important and cutting-edge issues, it describes how to build the necessary models in order to risk manage all the costs involved in options fabrication within the world of equity derivatives and hybrids. This is achieved by extending classical models and improving them in order to account for complex features. The book is primarily aimed at market practitioners (traders, risk managers, risk control, top managers), as well as Masters students in Quantitative/Mathematical Finance. It will also be useful for instructors hoping to enrich their courses with practical examples. The prerequisites are basic stochastic calculus and a general knowledge of financial markets and financial derivatives.
The go-to-guide for building projection models for financial analysis and valuation—updated with new content and materials Building Financial Models is considered the best guide to designing and building financial models for use in a wide variety of finance roles. This third edition of the popular resource features updated content, new materials, and a more accessible instructional layout supported by all new exercise files available to readers from a companion website. As with previous editions, the book offers a hands-on approach for creating a core model that is supported by broad coverage of cornerstone accounting and finance principles. The author, a seasoned developer and trainer with over 25 years’ experience developing financial models, takes you step by step through the entire process of developing a projection model. From the basics of accounting and Excel to the final “tips and tricks” for a completed model, you will be led assuredly through the steps of building an integrated financial statement model, one that can serve as the core for transactions or analysis in the LBO, M&A, business valuation model, or credit underwriting space. ●NEW: Updates on the latest Microsoft Excel shortcuts, functions, accounting concepts and modeling techniques●NEW: “Tips and tricks” on how to make your final model product both user-friendly and solidly built●NEW: Additional materials on valuation analysis and sections on scenarios and sensitivity analysis through the use of Data Tables●Online access to sample models you can download, and more
A properly structured financial model can provide decision makers with a powerful planning tool that helps them identify the consequences of their decisions before they are put into practice. Introduction to Financial Models for Management and Planning enables professionals and students to learn how to develop and use computer-based models for financial planning. Providing critical tools for the financial toolbox, this volume shows how to use these tools to build successful models. Placing a strong emphasis on the structure of models, the book focuses on developing models that are consistent with the theory of finance and, at the same time, are practical and usable. The authors introduce powerful tools that are imperative to the financial management of the operating business. These include interactive cash budgets and pro forma financial statements that balance even under the most extreme assumptions, valuation techniques, forecasting techniques that range from simple averages to time series methods, Monte Carlo simulation, linear programming, and optimization. The tools of financial modeling can be used to solve the problems of planning the firm’s investment and financing decisions. These include evaluating capital projects, planning the financing mix for new investments, capital budgeting under capital constraints, optimal capital structure, cash budgeting, working capital management, mergers and acquisitions, and constructing efficient security portfolios. While the primary emphasis is on models related to corporate financial management, the book also introduces readers to a variety of models related to security markets, stock and bond investments, portfolio management, and options. This authoritative book supplies broad-based coverage and free access to @Risk software for Monte Carlo simulation, making it an indispensible text for professionals and students in financial management. Please contact customer service for access to the software if your copy of the book does not contain this information.
The 2008 financial crisis was a watershed moment which clearly influenced the public's perception of the role of 'finance' in society. Since 2008, a plethora of books and newspaper articles have been produced accusing the academic community of being unable to produce valid models which can accommodate those extreme events. This unique Handbook brings together leading practitioners and academics in the areas of banking, mathematics, and law to present original research on the key issues affecting financial modelling since the 2008 financial crisis. As well as exploring themes of distributional assumptions and efficiency the Handbook also explores how financial modelling can possibly be re-interpreted in light of the 2008 crisis.
The ability to effectively create and interpret financial models is one of the most valued skills in corporate finance--from Wall Street to Main Street. Now, the acclaimed guide to designing, building, and implementing valuation projection models is fully revised and expanded to keep finance and accounting professionals competitive in today's marketplace. This second edition of Building Financial Models continues the tradition of its predecessor by providing a hands-on approach to creating a core model that is supported by broad coverage of cornerstone accounting and finance principles. Additionally, this updated volume features: Entirely new coverage of discounted cash flow (DCF) modeling Excel formulas for making powerful calculations within the spreadsheet In-depth explanations of both the principles and mechanics of projection models Building Financial Models helps readers practice good thinking and apply sound knowledge of their tools--two key attributes to producing robust and easy-to-use models. This practical guide takes you step by step through the entire process of developing a projection model, with a full chapter dedicated to each phase. By the end, you will have a working, dynamic spreadsheet financial model for making projections for industrial and manufacturing companies. Furthermore, this Second Edition provides the vocabulary and syntax of model building so you can tailor core models to fit any size company and allow for quick input changes to test sensitivity. The companion website www.buildingfinancialmodel.com offering example spreadsheets will give you a head start on developing your own models. A flexible and successful financial projection model does more than just add numbers--it explains the complex relationships between those numbers and illuminates ways to use those associations to add value to an enterprise. Building Financial Models is the only book you need to create and implement a fluid financial projection model that is both state of the art and user friendly.
Financial models in Excel allow investment analysts and other finance professionals to take the laborious number crunching out of financial analysis and forecasting. Models help them to gain meaningful insights into the way that a business is working and focus attention on areas to improve bottom-line results. They can also be used as powerful tools to test the potential impact of various risks on business performance. In this brand new guide, financial modelling expert Paul Lower presents step-by-step instructions for seven spreadsheet models that will help the user to gain a better understanding of the financial data coming out of a business. These seven models can be used to: 1. Assess how a business is performing on key financial indicators. 2. Produce sales and cost forecasts. 3. Create a cash flow forecast. 4. Understand the impact of product price changes on profitability. 5. Assess potential investment decisions. 6. Check the sensitivity of key financial measures to risk events. 7. Produce a business valuation. The book also includes downloadable spreadsheets of the author’s original Excel models and introductory chapters about best practice when modelling in Excel. With this suite of seven tools, a financial analyst will be equipped to use Excel to achieve a deep understanding of a business and its financial data.
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.
Understanding the overall impact of a decision in a manufacturing system can be challenging given the complex production and financial structures in today's companies. While knowing the direct result of a local change may be easy, anticipating the real impact to the rest of the business can be difficult. Nonetheless, managers are faced with this dilemma on a regular basis as they try to support the larger organization, taking appropriate actions as best they can. Based on a project at Novartis Vaccines and Diagnostics for an influenza vaccine, this thesis helps address some of the key questions managers face. It discusses a technique for more accurately determining the implications of these common manufacturing decisions: * How much should be spent to improve a particular component? * What are the impacts of expanding into new markets? " Which parameters in the factory most deserve managerial attention? * What are the appropriate tradeoffs to make when deciding on materials purchasing? Using concepts from throughput accounting, a model is developed from a detailed cost structure analysis, linking the financial and production aspects of the system. Whenever a parameter is changed, the model simulates how the rest of the system would perform through a linear program that replicates the production scheduling process. Thus, a manager is able to experiment with the tool in order to observe the overall impact of the change being considered and levy a decision based on the anticipated costs and benefits projected by the model. As a result, managers can distribute resources in a more efficient manner and align decision making throughout the organization. This thesis discusses the modeling approach, historical validation and initial insights for the current system. It also covers techniques for future applications and identifies the underlying organizational challenges that must be addressed to achieve a global optimum.
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.