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| FINANCE - STRATEGIC, CORPORATE & SERVICES |
Effectively use predictive management to drive the strategic financial planning process
When planning the strategic direction of the business, finance organizations, like yours, strive to create financial returns that will satisfy, even delight, stakeholders.
To the extent that you know the future to be uncertain—and this becomes magnified when making critical business decisions—the measure and impact of this risk must be captured in your strategic planning process.
Yet you should not shy away from risk. Without risk, there is no opportunity for profit. You gain a competitive advantage when you become skilled and swift at framing business decisions that maximize opportunities while mitigating risk and understanding uncertainty; and your company gains when this frame of mind becomes the norm across the enterprise.
"Extremely intuitive and easy to use. I recommend this
to all my clients for their business case analysis work."
-- Gerald A. Bush, Decision
Strategies, Inc. |
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Crystal Ball is a Microsoft® Excel®-based suite of analytical tools that includes Monte Carlo simulation, optimization, and forecasting. With little effort, you can apply these advanced analytical techniques to your new or existing spreadsheets to create more accurate financial predictions and better informed business decisions. With Crystal Ball tools, you can:
- Mitigate Risk in ROI and NPV calculations
- Gain immediate insight on driving variables and output variations
- Make knowledgeable decisions on where to focus resources
- Replace min/max estimates with more accurate range of all possible outcomes
Provide decision-makers with factual data that shows the risk associated with each choice
- Consider multiple aspects of problem such as constraints, goals, and requirements,
- Improve decision time and reduce the costs of resources,
- Replace costly “what if” iterations with automated procedures,
- Optimize processes, products, or portfolios,
- Perform efficient asset allocation given budgetary constraints and other requirements
Key
features of interest to your industry include sensitivity
analysis, correlation, optimization, efficient frontier, and historical data fitting. The sensitivity
analysis helps you to understand which of the uncertain input variables
are most critical and drive the uncertainty of your cost
model. Correlation lets you link uncertain inputs and account
for their positive or negative dependencies.
Optimization helps determine optimal decision choices to maximize or minimize your goals (e.g., maximize the return on a portfolio of assets), and efficient frontier runs multiple optimizations to determine the best balance of risk and reward for a particular problem or portfolio. If historical data
does exist, the data fitting feature will compare the data to
the distribution algorithms and calculate the best possible fit
and parameters for your data.
FINANCIAL ANALYSIS WITH REAL OPTIONS
Real-options analysis applies financial options theory to
capital investments. Why is it a real option? It is "real"
because you are investing in operating capital instead of
financial capital. It is an "option" because you
are investing in the right, but not the obligation, to invest.
Real options are used in situations where management has
flexibility in large capital budget decisions with high uncertainty.
Some examples include research and development projects, mergers
and acquisitions, technology development, facility expansion,
e-business project prioritization, enterprise wide risk management,
business unit budgeting, licensing, contract valuation, and
intangible asset valuation.
Advantages of real options include:
- Identify, value, select, and prioritize capital investments
- Gain additional insights into strategic value and management flexibility in decision-making
- Correctly value a project's total value, including its strategic intrinsic value
- Identify and frame strategic opportunities
- Use a reliable, repeatable, and consistent process for decision-making
- Analyze multiple decision pathways
- Incorporate new assumptions over time as opposed to the requirement of defining all assumptions at the outset for net present value (NPV) analysis
- Perform Monte Carlo simulation of risk variables, which lets you quickly run hundreds or thousands of “what-if ” scenarios and determine the probability of a given scenario happening
- Minimize the possibility of making detrimental decisions
- Value investment decisions that cannot be otherwise valued
> Visit our Real Options application page for more information
> Learn more about Crystal Ball Premium Edition
LEARN MORE ABOUT CRYSTAL BALL FOR COST ESTIMATION
This page offers links to a growing number of resources, including recorded Web seminars, articles, white papers, case studies, and example models. Additionally, you can view a list of common uses and examples reported directly from customers using Crystal Ball. You can also download a free trial version of Crystal Ball to see how it can help improve your business forecasts and decisions!
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RECORDED WEB SEMINARS
Risk-Cost-Benefit Analysis of Installation of Additional Benzene Emissions Controls
The risk-based cost benefit analysis of a decision to install additional airborne emission control equipment involves multiple input factors related to the current and future throughput of the facility (as related to anticipated benzene vapor emission levels), and the cost of new equipment, and its installation and operation during its projected operational life.
Information related to potential health risks is required also, including: (1) the airborne transport of vapors from the facility to a nearby city, (2) the anticipated exposures of children and adults at key locations in the city, (3) the toxicity of inhaled benzene vapor, and (4) the population of the city. This information can be combined to estimate the costs of new emission control equipment and the resulting benefit described as the number of cancer cases in the city population avoided by its use.
This presentation describes how Crystal Ball can evaluate the uncertainties of these input factors to determine which uncertainties contribute to the overall risk-based cost benefit ratio, and to its related decisions.
Presented by Frank Edison, Ph.D., Shaw Environmental & Infrastructure, Inc.
Recorded May 1, 2008
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View recording
Download files
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Capital Project Evaluation and Optimization with Crystal Ball Tools
Learn how to use time series forecasting to estimate future market share, how to use optimization of product pricing over product life to maximize profit, and how to perform valuation of strategic flexibility to expand production in strong market conditions.
The conclusions of the seminar focus on the dramatic transformation of the original single point-estimate profit forecast, into a more realistic and valuable assessment of expected profit, risk, and key drivers that guide management in its decision-making.
Presented by Steve Hoye, Senior Risk Consultant at Oracle
Recorded October 3, 2007
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View recording
No downloads |
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Modelo de Valoración Financiera Para Proyectos de Construcción
Lo que se propone con esta metodología es una forma más precisa de realizar un análisis financiero por medio de un modelo que permita involucrar el comportamiento de las variables macroeconómicas y microeconómicas que afectan el sector, a través de la proyección de un flujo libre de caja, el cual se descuenta al WACC.
Presented by Sebastián Castaneda, Experto internacional en Crystal Ball y Real Options Analysis Toolkit
Recorded September 27, 2007
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View recording
Download files
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Cash Flow at Risk – Electronic Chip Production
Profitable production of electronic circuitry runs the gauntlet of unique technical and marketplace hurdles, all of which involve risk and cost. Many of these costs require stochastic models, because single point analysis fails to value various aspects of cash flow at risk.
Presented by Alan Gorlick, financial consultant and University of Phoenix faculty member
Recorded September 25, 2007
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View recording
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The Value of Predictive Analytics in Strategic Corporate Finance
A high-level overview of how simulation and optimization can be used in strategic corporate finance, the benefits that can be gained over typical deterministic analytics.
Presented by Steve Hoye, Senior Crystal Ball Risk Consultant
Recorded May 31, 2007
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Integrating Risk Analysis Tools in Financial Analysis
Forecasting, simulation, real options and optimisation techniques are increasingly popular tools that provide Financial Analysts with analytic power beyond the traditional toolset.
This web seminar is designed for both the beginner and advanced financial analyst and will fully cover the A to Z of applying risk analysis techniques.
Presented by Dave Hammal, Crystal Ball Product Consultant
Recorded April 26, 2007
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Mastering a Key Strategic Challenge: Sustained Value Creation through Business Cases
There are few tasks as important, or as difficult, as deciding upon a new strategic direction for your organisation. Many people still rely on traditional cost-benefit-analysis, NPV, ROI, and decision trees, when developing business cases. This seminar provide case studies with insights that helped decision makers create more valuable strategies, assure robustness and sustainability, and align their organisation for execution.
Presented by Dr. Volker E. Pollmann, Ph.D, a Managing Director at Solution Matrix
Recorded March 28, 2007
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Financial Modeling: Empower Your Spreadsheets with Monte Carlo Simulation
Using "single point estimates" might not be dead, but after this Web seminar, you will never see financial modeling the same again. Learn how to turn static Microsoft® Excel data and financial models, into true risk models and how to apply Crystal Ball to financial modeling.
Presented by John Charnes, Professor, Scupin Faculty Fellow, and former Director of the Finance, Economics, and Decision Sciences Area in the University of Kansas School of Business
Recorded March 27, 2007
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Financial Risk Analysis: “Know/No Surprises”
With the help of a series of simple Excel spreadsheet models, you will learn how to apply simulation and optimization to answer questions such as: what will my revenues be in the next period, how should I set our financial goals, what should be my earnings guidance, and more.
Presented by Jim Franklin, CEO of Decisioneering Inc
Recorded January 18, 2007
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Integrating Risk Analysis Tools in Financial Analyses
With the help of an integrated financial model, this seminar will provide financial analysts with a complete understanding of why, where and how to apply spreadsheet forecasting, simulation, real options and optimization within their analyses.
Presented by Crystal Campbell of Decisioneering, Inc.
Recorded November 9, 2006
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Financial Modeling: How To Marry Common Sense And Math, For Real-World Modeling
Learn how to use Crystal Ball in long-range planning, sensitivity analysis, and volatility comparison modeling. Emphasis is placed on laying out a simple framework, identifying real-world problems that undermine mathematically sophisticated approaches to modeling, showing "good-enough" workarounds, and reconciling multiple forecast perspectives.
Presented by Mark Odermann, Senior Financial Analyst in Financial Strategy with Microsoft Corporation's Business Division
Recorded November 1, 2006
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Riesgo Operacional: El reto contemporáneo de la banca internacional
Al finalizar el seminario, habrás entendido:
- La importancia de la aplicación del método de simulación de Monter Carlo para manejar los fenómenos continuos y discretos que se presentan en la gestión del Riesgo Operacional;
- Los compromisos de la industria financiera frente al ACUERDO DE BASILLEA II;
- La invaluable ayuda que nos ofrece Crystal Ball en la creación de modelos de simulación para el análisis del Riesgo Operacional.
Presented by Camilo Romero, Experto internacional y entrenador certificado en Crystal Ball y Real Options Analysis Toolkit
Recorded 25 de Mayo de 2006
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Creating Enterprise Value: Maximize Shareholder Wealth by Strategically Allocating Capital using Monte Carlo Simulation
Learn how Crystal Ball software and Monte Carlo simulation can be used to allocate capital and measure the risk-adjusted economic profitability of a structured loan.
Presented by Michael J. Eisenstein, Director at Quantitative Solutions In.
Recorded May 18, 2006
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Risky Business: Gain a Competitive Advantage by Learning How to Control Risk
Learn how to identify and then control uncertainty in your capital investment projects so you can take advantage of promising, yet risky, opportunities.
Presented by David Vose, of the Vose Consulting Group
Recorded February 2, 2006
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WHITE PAPERS & ARTICLES
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An Application of “Earning at Risk” to Assess Corporate Financial Risk
Yeon-Jeong Chang, Senior Risk Consultant, Eretec Inc.
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Download |
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Assessing New Venture
Risk and Cash Budgeting with Simulation
By David C. Barker, Charles R. Harrell, Robert H. Todd (click
here to download the accompanying model) |
Download |
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Business Intelligence
Building Blocks: A Strong Business Case Gets Results
By John L. Doran, EnFORM Consulting, L.P. |
Download
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Corporate Finance Risk Analysis with Crystal Ball - Are We Adding Value?
By Huybert Groenendaal, Partner, Vose Consulting US LLC
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Download
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Corporate
Risk Analysis
By Tore Olafsen, John Martin Dervå, Roger Pullen, ValueSim |
Download
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Evolución Del Saldo Remanente De Una Renta Unitaria Cierta Cuando Los Rendimientos Son Aleatorios Bajo Distintos Modelos De Riesgo
By Evaristo Diz, E. Diz Actuarial Services and Consulting (this is a Spanish-language paper) |
Download
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Forecasting Financial Returns on Capital Investments (only available as presentation)
By Donald J. Haugh, Senior Manager for Process and Product Development, Seagate Technology
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Download
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Forecasting Shareholder Value: The Missing Objective in Balanced Scorecards
John Schuyler, Principal / Consultant, Decision Precision and PetroSkills
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Download |
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Modeling the Financial Impacts of Fluctuating Exchange Rates, Interest Rates, and Commodity Prices
By Stuart Veale, Investment Performance Institute
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Download
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Monte Carlo Simulations and Corporate Risk Management in Germany
By Diana Wieske and Rolf van der Meer |
Download
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Price Optimisation By Using Business Risk Analysis and Game Theory 
By Dr. István Fekete, Business Services Line of Business Matáv Rt., (Hungarian Telecommunications Co. Ltd.) |
Download
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Pricing American Put Options using Simulation & Optimization
By John Charnes, University of Kansas School of Business |
Download
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Security Analysis using Discounted Cash Flow Modeling: Simulation Applications
By Catherine Shenoy, Director, Applied Portfolio Management, University of Kansas, School of Business

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Download
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Sharper Estimates of Derivative Values
By Dr. John M. Charnes, University of Kansas School of Business (on Financial Engineering News Web site) |
Download
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Using
Simulation for Option Pricing
By John Charnes, University of Kansas School of Business |
Download
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Using Simulation Modeling to Ensure ROI
By Henry Yennie, CNH Consulting (hosted on CNH Consulting
Web site) |
Download
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VaR using Montecarlo
Technique
By Evaristo Diz, E. Diz Actuarial Services and Consulting (this is a Spanish-language paper) |
Download
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The Weighted
Average Cost of Capital
By Tore Olafsen and John Martin Dervå, ValueSim |
Download
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CASE STUDIES
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Assessing Risks of
Commercial Loans
SunTrust "Banks" On Crystal Ball For Assessing
The Risk Of Commercial Loans |
Download
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Financial Services
Consulting
Banker's Trust uses Crystal Ball in Developing Award-winning
Risk Management Group |
Download |
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Maximizing Shareholder
Value
Deloitte & Touche Helps Maximize Clients' Shareholder
Value with Crystal Ball |
Download |
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Negotiating Financial
Settlements
Pacific Bell Calls Upon Crystal Ball To Help Negotiate Financial
Settlement |
Download |
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Portfolio Optimization
For ProVise Management Group, Crystal Ball is the Key to
Optimizing Portfolio Profit |
Download
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Simulation in Financial Risk Management
Rolf van der Meer of Deutsche Bank AG presents a case study about Berliner Maschinen AG. (click here to download the accompanying model |
Download
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EXAMPLE MODELS (for demonstration purposes only)

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Assessing New Venture Risk and Cash Budgeting with Simulation
From: David C. Barker, M.S., Facility Engineer, Information Systems Manager Supply Chain Management Nevada, Inc., UPS Worldwide Logistics Group, 2275 East Newlands Drive, Fernley, NV 89408, (775) 575-3732, dcbarker@upslogistics.com
Detail: This model accompanies the paper of the same name located in our online article library (click here to view the paper). The purpose of this article and model is to show how simulation, when combined with a traditional cash budget, can greatly help assess the risk of investing in a new venture. The information gained by simulation-based cash budgeting can be very valuable to financial managers and venture capitalists in search of a viable way to assess the risk of starting a new venture. |
Download
For:
Crystal Ball
Level:
Simple |
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Black-Scholes Model (vs. Simulation)
From: Stephen Black, PA Consulting Group, Stephen.Black@paconsulting.com (the author is happy to accept comments)
Detail: This is a simple demonstration of how to replicate the Black-Scholes result via a simulation. Its shows two different ways to simulate option value via Crystal Ball: a multi-step simulation where you can see the intermediate results and a single step one where you just see the result. Both methods are compared to an actual Black-Scholes calculation (a VB function is included for that purpose). |
Download
For:
Crystal Ball
Level:
Simple-moderate |
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Capital Investment Analysis for
Two Industrial Plants
From: Egberto Lucena Teles, accountant, master in accounting,
academical professor - Universidade Mackenzie (São Paulo, Brasil), egberto@mackenzie.com.br
Detail: New projects can involve the acquisition of capital
goods - tangible assets of long useful life as lands, immobile or
machines and industrial equipment. Considering a proposed project
of capital investment, the investors should evaluate the expected
future cash flows in relation to the amount of initial investment.
The objective of the analysis through the method of discounted cash
flows is one of finding projects that have a net present value (NPV)
positive.
In the proposed example, the financial director should make a decision
of capital investment in a new industrial plant. The excluding alternatives,
that will call Plant A and Plant B, involve a cash flow of a period
of six years. The Old Plant (Current) generates a cash flow to present
value of $38,211,000. Besides verifying which Plant (A or B) offers
Cash Flow Increment in relation to Current Plant, this model tests
the implicit risk with relationship to expected return (cash increment).
Two models are included, one for each Plant. |
Download
For:
Crystal Ball
Level: Simple-moderate |
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DCF Analysis - AllergyGone
Detail: Your pharmaceutical company is very interested in acquiring AllergyGone, a potential new anti-allergy drug with no known side effects. You have been asked to produce a Discounted Cash Flow (DCF) analysis of AllergyGone over a five-year period to determine if this product is worth acquiring. Because of the uncertainty in the product pricing, demands, and costs, your company has decided to use Crystal Ball to simulate the Net Present Value (NPV) and Internal Rate of Return (IRR) prior to negotiations. Crystal Ball can help you to determine a bottom-line negotiation price and the model variables that drive the variability in the NPV and IRR forecasts. |
Download
For:
Crystal Ball
Level: Simple-moderate |
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Loan Amortization Example Model
Detail: How much can I save in interest expenses? By how much can I shorten the life of the loan? These are questions that most of us with car payments or mortgages have asked ourselves. This model allows you to answer these questions and more by applying Monte Carlo simulation.
The model calculates your monthly payment, cumulative interest on the loan, and the total cost of the vehicle (the purchase price plus the cumulative interest). You can then enter a custom payment and custom interest rate in the loan assumption input cells. The custom payments columns display what you would save in interest, the number of months by which the loan would be reduced, and the extra amount you would have to pay per month. The model includes amortization tables for both the minimum required payment and custom payments. |
Download
For:
Crystal Ball
Level: Simple-moderate |
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Pro Forma Net Income Statement
Detail: In the past, ABC company used a rolling six-month average to estimate future sales. It did not have a handle on any other uncertainties in its Net Income model. This model shows how they used CB Predictor to forecast sales and then Crystal Ball to determine the certainty of reaching a specific earnings per share goal. |
Download
For:
CB Predictor & Crystal Ball
Level:
Simple |
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Product Forecasting - Interactive TV Sales
Detail: This model examines a product marketing and forecasting analysis of an emerging media product, Interactive TV (ITV). Colorado Cable has created a discounted cash flow (DCF) analysis that examines the success of the product over a six-year period. Monte Carlo simulation and time-series forecasting are used to provide a greater understanding and quantification of the risks inherent in a spreadsheet-based business forecast.
This is the model featured in our Telecommunications quick demo, which walks you through how the model was used and what it proved. |
Download
For:
Crystal Ball &
CB Predictor
Level:
Simple |
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Risk in Financial Forecasts Application
for Valuation, Strategic Planning and Capital Appropriation Decisions
From: David T. Hulett, Ph.D., Principal, Hulett & Associates
LLC, Project Management Consultants, 12233 Shetland Lane, Los Angeles,
CA 90049 www.projectrisk.com
Detail: Financial forecasts are notoriously uncertain.
This model is a simple and clear demonstration of how to use Monte
Carlo simulation to calculate the IRR of a project over a five-year
period. The description worksheet discusses the details, assumptions,
and results of the model. The model is (c) 2000 International Institute
for Learning. |
Download
For:
Crystal Ball
Level:
Simple-moderate |
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Simulation to Determine
the Effect of a Strip Hedge
Detail: The goal of this model is to see the effects of
interest rate uncertainty on borrowing $100 million over a four-quarter
time frame. |
Download
For:
Crystal Ball
Level:
Simple-moderate |
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COMMON USES & EXAMPLES
The following examples were provided by our customers and represent
only some of the potential corporate finance applications for
Crystal Ball.
- Analysis of transactions risks and opportunities
- Basel II compliance
- Budgetary cost projections
- Business valuation, financial forecasting and project evaluation
- Capital budgeting analysis
- Capital budgeting for replacing aircraft
- Cost estimate projections
- DCF analysis
- Demand and yield forecasting
- Discounted cash flow analysis
- Estimates for leasing and cash flow analysis
- Evaluating investment options
- Evaluation of capital investment proposals, acquisitions, and
new business startups
- Exploration of equity partnerships and the involved risk and
exposure
- Feasibility studies on capital investments
- Financial and Risk Modeling, Cash flow analysis, portfolio stress testing and scenario analysis
- Interest Rate Risk Management
- Interest sensitivity analysis
- Lease vs. buy analysis
- Model complicated securities and investment strategies
- Modeling sensitivity analysis for bid proposals
- NPV analysis
- Optimisation of investments across different asset classes
- Optimization of revenue
- Option and asset pricing
- Portfolio analysis, fund risk characteristics, market analysis
- Prepare a Business Case on aircraft purchase for a client airline
- Project and business analysis
- Real options analysis
- Risk models for retirement plans
- Share award valuations under IFRS 2
- Simulation of valuation scenarios
- Six Sigma project work Capacity & staffing models
- Stock performance projections
- Structured finance model building and confidence testing
- Valuing non-traditional financial instruments like share appreciation rights indexed to the performance of benchmark firms
- VaR calculations for projects
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TEXTBOOKS
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