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Refresh and try again. Open Preview See a Problem? Details if other :. Thanks for telling us about the problem. Return to Book Page. Updated look at financial modeling and Monte Carlo simulation with software by Oracle Crystal Ball This revised and updated edition of the bestselling book on financial modeling provides the tools and techniques needed to perform spreadsheet simulation. It answers the essential question of why risk analysis is vital to the decision-making process, for any problem posed in Updated look at financial modeling and Monte Carlo simulation with software by Oracle Crystal Ball This revised and updated edition of the bestselling book on financial modeling provides the tools and techniques needed to perform spreadsheet simulation.
It answers the essential question of why risk analysis is vital to the decision-making process, for any problem posed in finance and investment. This reliable resource reviews the basics and covers how to define and refine probability distributions in financial modeling, and explores the concepts driving the simulation modeling process.
It also discusses simulation controls and analysis of simulation results. The second edition of Financial Modeling with Crystal Ball and Excel contains instructions, theory, and practical example models to help apply risk analysis to such areas as derivative pricing, cost estimation, portfolio allocation and optimization, credit risk, and cash flow analysis. It includes the resources needed to develop essential skills in the areas of valuation, pricing, hedging, trading, risk management, project evaluation, credit risk, and portfolio management.
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Offers an updated edition of the bestselling book covering the newest version of Oracle Crystal Ball Contains valuable insights on Monte Carlo simulation--an essential skill applied by many corporate finance and investment professionals Written by John Charnes, the former finance department chair at the University of Kansas and senior vice president of global portfolio strategies at Bank of America, who is currently President and Chief Data Scientist at Syntelli Solutions, Inc.
Get A Copy. Paperback , pages. Published June 5th by Wiley first published January 1st More Details Other Editions 3. Friend Reviews. To see what your friends thought of this book, please sign up. Lists with This Book. This book is not yet featured on Listopia. Community Reviews.
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More filters. Sort order. Brat Romel rated it it was amazing Jan 13, NO YES. Financial Modeling with Crystal Ball and Excel. Selected type: E-Book. Added to Your Shopping Cart. 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.
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. 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. 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.
This is a must-have book for anyone using Crystal Ball, and anyone wanting an overview of basic risk management concepts. 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. About the Author Dr.
His specialty is the application of computer simulation and statistical methods for identifying and solving business problems, and his most current research involves using simulation for option pricing and hedging with derivatives to comply with Financial Accounting Standard FAS Charnes has also performed research, consulting, and executive education for more than fifty corporations and other organizations. Table of contents Preface. About the Author. Chapter 1: Introduction.
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Financial Modeling. Risk Analysis. Monte Carlo Simulation. Risk Management. Benefits and Limitations of Using Crystal Ball. Chapter 2: Analyzing Crystal Ball Forecasts. Simulating A 50—50 Portfolio.
Varying the Allocations. Presenting the Results. Chapter 3: Building a Crystal Ball Model. Simulation Modeling Process. Defining Crystal Ball Assumptions. Running Crystal Ball. Sources of Error. Controlling Model Error. Chapter 4: Selecting Crystal Ball Assumptions.
Financial Modeling with Crystal Ball and Excel
Using Historical Data to Choose Distributions. Specifying Correlations. Chapter 5: Using Decision Variables. Defining Decision Variables. Decision Table with One Decision Variable. Decision Table with Two Decision Variables. Using OptQuest.