Financial Modeling

Financial Modeling

"Financial Modeling" bridges this gap between theory and practice by providing a nuts-and-bolts guide to solving common financial problems with spreadsheets.

Author: Simon Benninga

Publisher: MIT Press

ISBN: 0262024829

Category: Business & Economics

Page: 622

View: 707

Too often, finance courses stop short of making a connection between textbook finance and the problems of real-world business. "Financial Modeling" bridges this gap between theory and practice by providing a nuts-and-bolts guide to solving common financial problems with spreadsheets. The CD-ROM contains Excel* worksheets and solutions to end-of-chapter exercises. 634 illustrations.
Categories: Business & Economics

Hands On Financial Modeling with Microsoft Excel 2019

Hands On Financial Modeling with Microsoft Excel 2019

This book will also help individuals that have and don't have any experience in data and stats, to get started with building financial models. The book assumes working knowledge with Excel.

Author: Shmuel Oluwa

Publisher: Packt Publishing Ltd

ISBN: 9781789531633

Category: Computers

Page: 292

View: 587

Explore the aspects of financial modeling with the help of clear and easy-to-follow instructions and a variety of Excel features, functions, and productivity tips Key Features A non data professionals guide to exploring Excel's financial functions and pivot tables Learn to prepare various models for income and cash flow statements, and balance sheets Learn to perform valuations and identify growth drivers with real-world case studies Book Description Financial modeling is a core skill required by anyone who wants to build a career in finance. Hands-On Financial Modeling with Microsoft Excel 2019 examines various definitions and relates them to the key features of financial modeling with the help of Excel. This book will help you understand financial modeling concepts using Excel, and provides you with an overview of the steps you should follow to build an integrated financial model. You will explore the design principles, functions, and techniques of building models in a practical manner. Starting with the key concepts of Excel, such as formulas and functions, you will learn about referencing frameworks and other advanced components of Excel for building financial models. Later chapters will help you understand your financial projects, build assumptions, and analyze historical data to develop data-driven models and functional growth drivers. The book takes an intuitive approach to model testing, along with best practices and practical use cases. By the end of this book, you will have examined the data from various use cases, and you will have the skills you need to build financial models to extract the information required to make informed business decisions. What you will learn Identify the growth drivers derived from processing historical data in Excel Use discounted cash flow (DCF) for efficient investment analysis Build a financial model by projecting balance sheets, profit, and loss Apply a Monte Carlo simulation to derive key assumptions for your financial model Prepare detailed asset and debt schedule models in Excel Discover the latest and advanced features of Excel 2019 Calculate profitability ratios using various profit parameters Who this book is for This book is for data professionals, analysts, traders, business owners, and students, who want to implement and develop a high in-demand skill of financial modeling in their finance, analysis, trading, and valuation work. This book will also help individuals that have and don't have any experience in data and stats, to get started with building financial models. The book assumes working knowledge with Excel.
Categories: Computers

Financial Modeling Using Excel and VBA

Financial Modeling Using Excel and VBA

hat is a financial model? What is the difference between a financial model and
the spreadsheet solutions you create or VBA programs you write all the time to
answer financial questions or solve financial problems? A simple, practical
answer ...

Author: Chandan Sengupta

Publisher: John Wiley & Sons

ISBN: 0471267686

Category: Business & Economics

Page: 857

View: 508

"Reviews all the necessary financial theory and concepts, and walks you through a wide range of real-world financial models" - cover.
Categories: Business & Economics

Financial Modeling Foundations

Financial Modeling Foundations

Learn how to build financial models that can be used in corporate finance, investment banking, and for firm valuation.

Author:

Publisher:

ISBN: OCLC:1116050757

Category:

Page:

View: 850

Learn how to build financial models that can be used in corporate finance, investment banking, and for firm valuation.
Categories:

The Oxford Guide to Financial Modeling

The Oxford Guide to Financial Modeling

Financial modeling is an important methodology used by managers at all levels
for the purpose of providing business solutions. The process must begin with
understanding the business objectives and specifying the economic concepts on
 ...

Author: Thomas S. Y. Ho

Publisher: Oxford University Press

ISBN: 0199727708

Category: Business & Economics

Page: 768

View: 486

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.
Categories: Business & Economics

Financial Modeling in Excel For Dummies

Financial Modeling in Excel For Dummies

This book shows you how to harness Excel's capabilities to determine profitability, develop budgetary projections, model depreciation, project costs, value assets and more.

Author: Danielle Stein Fairhurst

Publisher: John Wiley & Sons

ISBN: 9781119357544

Category: Business & Economics

Page: 336

View: 736

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
Categories: Business & Economics

Building Financial Models

Building Financial Models

This book will lead you through the development process for a projection model. By the end of the book, you will have the satisfaction of having built your own model, to which you can then add your personal changes and modifications.

Author: John S. Tjia

Publisher: McGraw-Hill Library of Investment and Finance

ISBN: IND:30000102133273

Category: Business & Economics

Page: 340

View: 104

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.
Categories: Business & Economics

Financial Modeling Actuarial Valuation and Solvency in Insurance

Financial Modeling  Actuarial Valuation and Solvency in Insurance

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 ...

Author: Mario V. Wüthrich

Publisher: Springer Science & Business Media

ISBN: 9783642313929

Category: Mathematics

Page: 432

View: 677

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.
Categories: Mathematics

Financial Modelling in Python

Financial Modelling in Python

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 ...

Author: Shayne Fletcher

Publisher: John Wiley & Sons

ISBN: 9780470747896

Category: Business & Economics

Page: 244

View: 836

"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.
Categories: Business & Economics

The Mathematics of Financial Modeling and Investment Management

The Mathematics of Financial Modeling and Investment Management

Financial. Markets,. Financial. Assets,. and. Market. Participants. In a market
economy, the allocation of economic resources is driven by the outcome of many
private decisions. Prices are the signals that direct economic resources to their
best ...

Author: Sergio M. Focardi

Publisher: John Wiley & Sons

ISBN: 0471465992

Category: Business & Economics

Page: 800

View: 227

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.
Categories: Business & Economics

Financial Modeling Under Non Gaussian Distributions

Financial Modeling Under Non Gaussian Distributions

At this stage, we have provided the reader with some indications on how financial
markets work. Before describing models that are based on information arrival, we
make a historical parenthesis and discuss Mandelbrot's model 3.2 Mandelbrot ...

Author: Eric Jondeau

Publisher: Springer Science & Business Media

ISBN: 9781846286964

Category: Mathematics

Page: 541

View: 381

This book examines non-Gaussian distributions. It addresses the causes and consequences of non-normality and time dependency in both asset returns and option prices. The book is written for non-mathematicians who want to model financial market prices so the emphasis throughout is on practice. There are abundant empirical illustrations of the models and techniques described, many of which could be equally applied to other financial time series.
Categories: Mathematics

Financial Modeling

Financial Modeling

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.

Author: Joachim Häcker

Publisher: Springer

ISBN: 9781137426581

Category: Business & Economics

Page: 956

View: 965

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.
Categories: Business & Economics

Financial Modeling

Financial Modeling

A Backward Stochastic Differential Equations Perspective Stephane Crepey.
Stéphane Crépey Financial Modeling A Backward Stochastic Differential
Equations Perspective Q Springer Prof. Stéphane Crépey Département de
mathématiques, ...

Author: Stephane Crepey

Publisher: Springer Science & Business Media

ISBN: 9783642371134

Category: Computers

Page: 459

View: 126

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
Categories: Computers

The Handbook of Financial Modeling

The Handbook of Financial Modeling

A Practical Approach to Creating and Implementing Valuation Projection Models
Jack Avon. 4. Planning. Your. Model. Based on my fieldwork in financial
modeling, my opinion is that the majority of models built have little or no planning
 ...

Author: Jack Avon

Publisher: Apress

ISBN: 9781430262053

Category: Business & Economics

Page: 504

View: 141

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
Categories: Business & Economics

Financial Modeling and Valuation

Financial Modeling and Valuation

Financial modeling is the fundamental building block of analysis in investment
banking. We will take a look at Walmart and analyze its financial standing,
building a complete financial model as it would be done by Wall Street analysts.

Author: Paul Pignataro

Publisher: John Wiley & Sons

ISBN: 9781118558690

Category: Business & Economics

Page: 432

View: 513

Written by the Founder and CEO of the prestigious New YorkSchool of Finance, this book schools you in the fundamental toolsfor accurately assessing the soundness of a stock investment. Builtaround a full-length case study of Wal-Mart, it shows you how toperform an in-depth analysis of that company's financial standing,walking you through all the steps of developing a sophisticatedfinancial model as done by professional Wall Street analysts. Youwill construct a full scale financial model and valuationstep-by-step as you page through the book. When we ran this analysis in January of 2012, we estimated thestock was undervalued. Since the first run of the analysis, thestock has increased 35 percent. Re-evaluating Wal-Mart9months later, we will step through the techniques utilized by WallStreet analysts to build models on and properly value businessentities. Step-by-step financial modeling - taught using downloadableWall Street models, you will construct the model step by step asyou page through the book. Hot keys and explicit Excel instructions aid even the noviceexcel modeler. Model built complete with Income Statement, Cash FlowStatement, Balance Sheet, Balance Sheet Balancing Techniques,Depreciation Schedule (complete with accelerating depreciation anddeferring taxes), working capital schedule, debt schedule, handlingcircular references, and automatic debt pay downs. Illustrative concepts including detailing model flows help aidin conceptual understanding. Concepts are reiterated and honed, perfect for a novice yetdetailed enough for a professional. Model built direct from Wal-Mart public filings, searchingthrough notes, performing research, and illustrating techniques toformulate projections. Includes in-depth coverage of valuation techniques commonlyused by Wall Street professionals. Illustrative comparable company analyses - built the right way,direct from historical financials, calculating LTM (Last TwelveMonth) data, calendarization, and properly smoothing EBITDA and NetIncome. Precedent transactions analysis - detailing how to extractproper metrics from relevant proxy statements Discounted cash flow analysis - simplifying and illustratinghow a DCF is utilized, how unlevered free cash flow is derived, andthe meaning of weighted average cost of capital (WACC) Step-by-step we will come up with a valuation on Wal-Mart Chapter end questions, practice models, additional case studiesand common interview questions (found in the companion website)help solidify the techniques honed in the book; ideal foruniversities or business students looking to break into theinvestment banking field.
Categories: Business & Economics

Pro Excel Financial Modeling

Pro Excel Financial Modeling

this chapter, you will learn how to plan, create, and use the Cost of Goods Sold
and Inventory (COGS) model. ... Any book on financial modeling for high-tech
startups must address scenarios in which there are hardware components to the
 ...

Author: Tom Sawyer

Publisher: Apress

ISBN: 9781430218999

Category: Computers

Page: 304

View: 354

Learn the business thinking behind financial modeling and execute what you know effectively using Microsoft Excel. Many believe that sales and profitability projections shown in financial models are the keys to success in attracting investors. The truth is that investors will come up with their own projections. The investor wants to understand the assumptions, structure, and relationships within the modeling of a startup. If the investor is satiated, the entrepreneur has successfully demonstrated a complete understanding of the business side of the enterprise. Pro Excel Financial Modeling provides the keys necessary to learn this thinking and to build the models that will illustrate it. Step–by–step approach to developing financial models in Excel Extensive case studies and Excel templates provided
Categories: Computers

Financial Modeling of the Equity Market

Financial Modeling of the Equity Market

Frank J. Fabozzi is the Frederick Frank Adjunct Professor of Finance in the
School of Management at Yale University. ... His current research interests
include various topics in finance, such as equity and fixed income modeling,
financial ...

Author: Frank J. Fabozzi

Publisher: John Wiley & Sons

ISBN: 9780470037690

Category: Business & Economics

Page: 651

View: 125

An inside look at modern approaches to modeling equity portfolios Financial Modeling of the Equity Market is the most comprehensive, up-to-date guide to modeling equity portfolios. The book is intended for a wide range of quantitative analysts, practitioners, and students of finance. Without sacrificing mathematical rigor, it presents arguments in a concise and clear style with a wealth of real-world examples and practical simulations. This book presents all the major approaches to single-period return analysis, including modeling, estimation, and optimization issues. It covers both static and dynamic factor analysis, regime shifts, long-run modeling, and cointegration. Estimation issues, including dimensionality reduction, Bayesian estimates, the Black-Litterman model, and random coefficient models, are also covered in depth. Important advances in transaction cost measurement and modeling, robust optimization, and recent developments in optimization with higher moments are also discussed. Sergio M. Focardi (Paris, France) is a founding partner of the Paris-based consulting firm, The Intertek Group. He is a member of the editorial board of the Journal of Portfolio Management. He is also the author of numerous articles and books on financial modeling. Petter N. Kolm, PhD (New Haven, CT and New York, NY), is a graduate student in finance at the Yale School of Management and a financial consultant in New York City. Previously, he worked in the Quantitative Strategies Group of Goldman Sachs Asset Management, where he developed quantitative investment models and strategies.
Categories: Business & Economics

The Art and Science of Financial Modeling

The Art and Science of Financial Modeling

Cover -- Contents -- Chapter 1: Introduction -- Chapter 2: Approach to Financial Modeling -- Chapter 3: Deep Dive into the Construction Phase -- Chapter 4: Guidelines for Creating an Effective Financial Model -- Chapter 5: Scenario Analysis ...

Author: Anurag Singal

Publisher:

ISBN: 1948976943

Category: Business & Economics

Page: 106

View: 815

The importance of sound financial modelling skills, deep understanding of valuation methods and the assessment of outputs of valuations for finance professionals cannot be overemphasized The book aims to help a user deep dive into the art of financial modelling and valuation. The reader will be able to prepare/use existing models more competently, interpret the results and have greater comfort over the integrity and accuracy of the model's calculations. It seeks to disseminate the skill-set to prepare financial models for business cases, be it Mergers & Acquisitions, Venture Capital/ Private Equity or long-term Financial Forecasts of companies It is suited for an aspirant who seeks to learn the art of preparing financial models in a logical structured and disciplined manner. In turn, the user can go for correct valuation analyses, which in turn, fuels well-informed and appropriate strategic organizational decisions.
Categories: Business & Economics

Financial Modeling fourth edition

Financial Modeling  fourth edition

The purpose of this book remains to provide a “cookbook” for implementing
common financial models in Excel. This edition has been expanded by six
additional chapters, covering financial calculations, cost of capital, value at risk (
VaR), real ...

Author: Simon Benninga

Publisher: MIT Press

ISBN: 9780262321709

Category: Business & Economics

Page: 1144

View: 583

A substantially revised edition of a bestselling text combining explanation and implementation using Excel; for classroom use or as a reference for finance practitioners. Financial Modeling is now the standard text for explaining the implementation of financial models in Excel. This long-awaited fourth edition maintains the “cookbook” features and Excel dependence that have made the previous editions so popular. As in previous editions, basic and advanced models in the areas of corporate finance, portfolio management, options, and bonds are explained with detailed Excel spreadsheets. Sections on technical aspects of Excel and on the use of Visual Basic for Applications (VBA) round out the book to make Financial Modeling a complete guide for the financial modeler. The new edition of Financial Modeling includes a number of innovations. A new section explains the principles of Monte Carlo methods and their application to portfolio management and exotic option valuation. A new chapter discusses term structure modeling, with special emphasis on the Nelson-Siegel model. The discussion of corporate valuation using pro forma models has been rounded out with the introduction of a new, simple model for corporate valuation based on accounting data and a minimal number of valuation parameters. New print copies of this book include a card affixed to the inside back cover with a unique access code. Access codes are required to download Excel worksheets and solutions to end-of-chapter exercises. If you have a used copy of this book, you may purchase a digitally-delivered access code separately via the Supplemental Material link on this page. If you purchased an e-book, you may obtain a unique access code by emailing [email protected] or calling 617-253-2889 or 800-207-8354 (toll-free in the U.S. and Canada). Praise for earlier editions “Financial Modeling belongs on the desk of every finance professional. Its no-nonsense, hands-on approach makes it an indispensable tool.” —Hal R. Varian, Dean, School of Information Management and Systems, University of California, Berkeley “Financial Modeling is highly recommended to readers who are interested in an introduction to basic, traditional approaches to financial modeling and analysis, as well as to those who want to learn more about applying spreadsheet software to financial analysis." —Edward Weiss, Journal of Computational Intelligence in Finance “Benninga has a clear writing style and uses numerous illustrations, which make this book one of the best texts on using Excel for finance that I've seen.” —Ed McCarthy, Ticker Magazine
Categories: Business & Economics

Financial Modeling with Crystal Ball and Excel

Financial Modeling with Crystal Ball and Excel

CHAPTER 3 Building a Crystal Ball Model Monte Carlo simulation is a tool for
modeling uncertainty. ... This chapter goes through the process of starting with a
simple financial model and adding stochastic assumptions to a deterministic
model ...

Author: John Charnes

Publisher: John Wiley & Sons

ISBN: 9781118161135

Category: Business & Economics

Page: 288

View: 811

Praise for Financial Modeling with Crystal Ball(r) and Excel(r) "Professor Charnes's book drives clarity into applied Monte Carlo analysis using examples and tools relevant to real-world finance. The book will prove useful for analysts of all levels and as a supplement to academic courses in multiple disciplines." -Mark Odermann, Senior Financial Analyst, Microsoft "Think you really know financial modeling? This is a must-have for power Excel users. Professor Charnes shows how to make more realistic models that result in fewer surprises. Every analyst needs this credibility booster." -James Franklin, CEO, Decisioneering, Inc. "This book packs a first-year MBA's worth of financial and business modeling education into a few dozen easy-to-understand examples. Crystal Ball software does the housekeeping, so readers can concentrate on the business decision. A careful reader who works the examples on a computer will master the best general-purpose technology available for working with uncertainty." -Aaron Brown, Executive Director, Morgan Stanley, author of The Poker Face of Wall Street "Using Crystal Ball and Excel, John Charnes takes you step by step, demonstrating a conceptual framework that turns static Excel data and financial models into true risk models. I am astonished by the clarity of the text and the hands-on, step-by-step examples using Crystal Ball and Excel; Professor Charnes is a masterful teacher, and this is an absolute gem of a book for the new generation of analyst." -Brian Watt, Chief Operating Officer, GECC, Inc. "Financial Modeling with Crystal Ball and Excel is a comprehensive, well-written guide to one of the most useful analysis tools available to professional risk managers and quantitative analysts. This is a must-have book for anyone using Crystal Ball, and anyone wanting an overview of basic risk management concepts." -Paul Dietz, Manager, Quantitative Analysis, Westar Energy "John Charnes presents an insightful exploration of techniques for analysis and understanding of risk and uncertainty in business cases. By application of real options theory and Monte Carlo simulation to planning, doors are opened to analysis of what used to be impossible, such as modeling the value today of future project choices." -Bruce Wallace, Nortel
Categories: Business & Economics