Monte Carlo Financial Modeling 2008
Millennium Software Inc – SharewareThe Sales & Profit Forecasting modeler will accurately predict your company sales and profits by combining up to 15 different product or profit center estimates of incoming sales leads, costs per lead, leads conversion rates, price yields, gross profit margins, G&A recovery rates and their upper and lower limits. Forecasts probabilities achieving any sales or profit targets using Monte Carlo simulations.
The Monthly Sales Model provides confidence level of reaching any 12 month sales goal using Monte Carlo sales forecasting simulations.
The Capital Project Model analyses the probability that investment capital will be justified by returning the target ROIC value set by the user when up to 15 variables are combined. Investment simulations apply Monte Carlo calculations. This Sim simply works out whether a target ROIC value will be reached or not. InvestmentSIm listed below analyses an entire 10 year investment period and calculates the most probable levels of IRR, ROIC and NPV.
Investment-Calc will model any investment project, combining all years 1-10 variables to predict the most probable values for IRR, ROIC and Net Present Values.
The Gross Profit Margin Model (2 workbooks collection) combines up to 15 variables and product mixes applying Monte Carlo analysis.
All six workbooks will run in Excel 2003 2007.
Download a zip file or purchase the CD edition.
Overview
Monte Carlo Financial Modeling 2008 is a Shareware software in the category Business developed by Millennium Software Inc.
The latest version of Monte Carlo Financial Modeling 2008 is currently unknown. It was initially added to our database on 02/11/2010.
Monte Carlo Financial Modeling 2008 runs on the following operating systems: Windows.
Monte Carlo Financial Modeling 2008 has not been rated by our users yet.
FAQ
What is Monte Carlo Financial Modeling 2008 by Millennium Software Inc?
Monte Carlo Financial Modeling 2008 is a software developed by Millennium Software Inc that specializes in performing financial modeling using Monte Carlo simulation techniques.
What are the key features of Monte Carlo Financial Modeling 2008?
Key features of Monte Carlo Financial Modeling 2008 include robust simulation capabilities, data visualization tools, scenario analysis, and risk assessment functionalities.
Is Monte Carlo Financial Modeling 2008 suitable for beginners?
While Monte Carlo Financial Modeling 2008 is a powerful tool, it may require some familiarity with financial modeling concepts and techniques to utilize its full potential.
Can Monte Carlo Financial Modeling 2008 handle complex financial models?
Yes, Monte Carlo Financial Modeling 2008 is designed to handle complex financial models and scenarios, making it suitable for advanced financial analysis.
Does Monte Carlo Financial Modeling 2008 provide any templates or pre-built models?
Yes, Monte Carlo Financial Modeling 2008 offers a range of templates and pre-built models to help users get started quickly with their simulation projects.
What industries typically use Monte Carlo Financial Modeling 2008?
Monte Carlo Financial Modeling 2008 is commonly used in finance, risk management, insurance, investment analysis, and other fields that require probabilistic modeling.
Is training available for using Monte Carlo Financial Modeling 2008?
Yes, Millennium Software Inc provides training resources and support to help users master the features and capabilities of Monte Carlo Financial Modeling 2008.
Can Monte Carlo Financial Modeling 2008 handle real-time data inputs?
Monte Carlo Financial Modeling 2008 supports importing real-time data inputs for dynamic simulations and analysis.
Is Monte Carlo Financial Modeling 2008 compatible with other software platforms?
Monte Carlo Financial Modeling 2008 offers compatibility with popular software platforms for seamless integration and data exchange.
Are there any limitations to the number of variables or iterations in Monte Carlo Financial Modeling 2008?
Monte Carlo Financial Modeling 2008 allows users to work with a large number of variables and iterations, with customizable settings to adjust computational requirements as needed.
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