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Real Option Valuation 1.0 Antivirus Scan Results: - 100% Clean
Real Option Valuation software
have been tested by programsbase.com team against viruses,
spyware, adware and was founded to be 100% clean.
We will recheck this software periodically to assure users that it remain clean.
Note: this award offered by programsbase.com
should be used only by the author/publisher of the Real Option Valuation software.
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Real Option Valuation 1.0 Antivirus Report
Archive: realopt.zip
inflating: readme.txt
inflating: Real_Option_Valuation.xls
Scanning Real_Option_Valuation.xls
Real_Option_Valuation.xls: OK
Scanning readme.txt
readme.txt: OK
Scanning realopt.zip
realopt.zip: OK
----------- SCAN SUMMARY -----------
Scanned directories: 1
Scanned files: 3
Infected files: 0
Data scanned: 1.08 MB
Time: 1.595 sec (0 m 1 s)
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Real Option Valuation Antivirus report from programsbase.com
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Real Option Valuation 1.0 Description:
The Real Option Valuation model encompasses a suite of option pricing tools to quantify the embedded strategic value for a range of financial analysis and investment scenarios. Traditional discounted cash flow investment analysis will only accept an investment if the returns on the project exceed the hurdle rate. While this is a worthwhile exercise, it fails to consider the myriad of strategic options that are associated with many investments. This model provides the ability to identify what options might exist in your proposal and the tools to estimate the quantification of them. The key features of this model include: Ease and flexibility of input, with embedded help prompts; Informative 'Quick Start' menu for choosing the correct tool for the situation; Modified Black Scholes models to value the options to delay, expand, or abandon investments; Automatic binomial 'tree' builder model to evaluate complex strategic options with multiple stages; Nash equilibrium Game Theory model to evaluate market entry strategies in a competitive environment; and Ability to predefine historical investment and/or industry risk profiles to utilize across models.
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