The Oxford Guide to Financial Modeling

The Oxford Guide to Financial Modeling

Author: Thomas S. Y. Ho

Publisher: Oxford University Press

ISBN: 0199727708

Category: Business & Economics

Page: 768

View: 798

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.

Financial Modeling in Excel For Dummies

Financial Modeling in Excel For Dummies

Author: Danielle Stein Fairhurst

Publisher: John Wiley & Sons

ISBN: 9781119357568

Category: Business & Economics

Page: 336

View: 930

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!

Financial Modeling, fifth edition

Financial Modeling, fifth edition

Author: Simon Benninga

Publisher: MIT Press

ISBN: 9780262368247

Category: Business & Economics

Page: 1048

View: 223

A substantially updated new edition of the essential text on financial modeling, with revised material, new data, and implementations shown in Excel, R, and Python. Financial Modeling has become the gold-standard text in its field, an essential guide for students, researchers, and practitioners that provides the computational tools needed for modeling finance fundamentals. This fifth edition has been substantially updated but maintains the straightforward, hands-on approach, with an optimal mix of explanation and implementation, that made the previous editions so popular. Using detailed Excel spreadsheets, it explains basic and advanced models in the areas of corporate finance, portfolio management, options, and bonds. This new edition offers revised material on valuation, second-order and third-order Greeks for options, value at risk (VaR), Monte Carlo methods, and implementation in R. The examples and implementation use up-to-date and relevant data. Parts I to V cover corporate finance topics, bond and yield curve models, portfolio theory, options and derivatives, and Monte Carlo methods and their implementation in finance. Parts VI and VII treat technical topics, with part VI covering Excel and R issues and part VII (now on the book’s auxiliary website) covering Excel’s programming language, Visual Basic for Applications (VBA), and Python implementations. Knowledge of technical chapters on VBA and R is not necessary for understanding the material in the first five parts. The book is suitable for use in advanced finance classes that emphasize the need to combine modeling skills with a deeper knowledge of the underlying financial models.

The Handbook of Financial Modeling

The Handbook of Financial Modeling

Author: Jack Avon

Publisher: Apress

ISBN: 9781430262053

Category: Business & Economics

Page: 504

View: 410

The ability to create and understand financial models that assess the valuation of a company, the projects it undertakes, and its future earnings/profit projections is one of the most valued skills in corporate finance. However, while many business professionals are familiar with financial statements and accounting reports, few are truly proficient at building an accurate and effective financial model from the ground up. That's why, in The Financial Modeling Handbook, Jack Avon equips financial professionals with all the tools they need to precisely and effectively monitor a company's assets and project its future performance. Based on the author's extensive experience building models in business and finance—and teaching others to do the same—The Handbook of Financial Modeling takes readers step by step through the financial modeling process, starting with a general overview of the history and evolution of financial modeling. It then moves on to more technical topics, such as the principles of financial modeling and the proper way to approach a financial modeling assignment, before covering key application areas for modeling in Microsoft Excel. Designed for intermediate and advanced modelers who wish to expand and enhance their knowledge, The Handbook of Financial Modeling also covers: The accounting and finance concepts that underpin working financial models; How to approach financial issues and solutions from a modeler's perspective; The importance of thinking about end users when developing a financial model; How to plan, design, and build a fully functional financial model; And more. A nuts-to-bolts guide to solving common financial problems with spreadsheets, The Handbook of Financial Modeling is a one-stop resource for anyone who needs to build or analyze financial models. What you’ll learn Key financial modeling principles, including best practices, principles around calculations, and the importance of producing clean, clear financial models How to design and implement a projection model that allows the user to change inputs quickly for sensitivity testing The proper way to approach a financial modeling assignment, from project planning all the way through to the documentation of the model's findings and effectiveness How to model in Microsoft Excel, including how to set up an Excel environment, how to format worksheets, and the correct application of various modeling formulae The skills and knowledge they need to become more proficient financial modelers and differentiate themselves from their professional competitors. Who this book is for Written in a clear, concise manner and filled with screen grabs that will facilitate readers' comprehension of the financial modeling process, The Handbook of Financial Modeling is appropriate for intermediate to advanced financial modelers who are looking to learn how to enhance their modeling proficiency. Table of Contents Financial Modeling: An Overview Financial Modeling Best Practices Modeling Functions and Tools Planning Your Model Testing and Documenting Your Model Designing and Building Your Model The Model User: Inputs An Introduction to Finance and Accounting for Modelers Managing and Evaluating a Business for Modelers The Implications and Rules of Accounting for Modelers Financial Based Calculations Logical and Structural Based Calculations How to Capture Document and Track Assumptions in Your Model Modeling to Give the User Transparency Model Testing and Auditing Modeling Handover Dos and Don'ts. Case Study: Building a Full Life Cycle Model Additional Tools and VBA for Financial Models What is the Future of Financial Modeling? Keyboard Shortcuts Finance and Accounting Glossary Readymade Functions Sample Outputs Housekeeping References

The Risks of Financial Modeling

The Risks of Financial Modeling

Author: United States. Congress. House. Committee on Science and Technology (2007). Subcommittee on Investigations and Oversight

Publisher:

ISBN: UOM:39015085454646

Category: Finance

Page: 151

View: 328

Financial Modeling for Decision Making

Financial Modeling for Decision Making

Author: Ron Messer

Publisher: Emerald Group Publishing

ISBN: 9781789734157

Category: Business & Economics

Page: 360

View: 646

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.

Financial Modeling, Actuarial Valuation and Solvency in Insurance

Financial Modeling, Actuarial Valuation and Solvency in Insurance

Author: Mario V. Wüthrich

Publisher: Springer Science & Business Media

ISBN: 9783642313929

Category: Mathematics

Page: 432

View: 757

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.

Financial Modeling with Crystal Ball and Excel

Financial Modeling with Crystal Ball and Excel

Author: John Charnes

Publisher: John Wiley & Sons

ISBN: 9781118240052

Category: Business & Economics

Page: 336

View: 188

Updated look at financial modeling and Monte Carlo simulationwith software by Oracle Crystal Ball This revised and updated edition of the bestselling book onfinancial modeling provides the tools and techniques needed toperform spreadsheet simulation. It answers the essential questionof why risk analysis is vital to the decision-making process, forany problem posed in finance and investment. This reliable resourcereviews the basics and covers how to define and refine probabilitydistributions in financial modeling, and explores the conceptsdriving the simulation modeling process. It also discussessimulation controls and analysis of simulation results. The second edition of Financial Modeling with Crystal Balland Excel contains instructions, theory, and practical examplemodels to help apply risk analysis to such areas as derivativepricing, cost estimation, portfolio allocation and optimization,credit risk, and cash flow analysis. It includes the resourcesneeded to develop essential skills in the areas of valuation,pricing, hedging, trading, risk management, project evaluation,credit risk, and portfolio management. Offers an updated edition of the bestselling book covering thenewest version of Oracle Crystal Ball Contains valuable insights on Monte Carlo simulation—anessential skill applied by many corporate finance and investmentprofessionals Written by John Charnes, the former finance department chair atthe University of Kansas and senior vice president of globalportfolio strategies at Bank of America, who is currently Presidentand Chief Data Scientist at Syntelli Solutions, Inc. Risk Analyticsand Predictive Intelligence Division (Syntelli RAPID) Engaging and informative, this book is a vital resource designedto help you become more adept at financial modeling andsimulation.

The Mathematics of Financial Modeling and Investment Management

The Mathematics of Financial Modeling and Investment Management

Author: Sergio M. Focardi

Publisher: John Wiley & Sons

ISBN: 9780471674238

Category: Business & Economics

Page: 800

View: 536

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.

Handbook of Recent Advances in Commodity and Financial Modeling

Handbook of Recent Advances in Commodity and Financial Modeling

Author: Giorgio Consigli

Publisher: Springer

ISBN: 9783319613208

Category: Business & Economics

Page: 320

View: 126

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.