@RISK
The Future in Your Spreadsheet
Wouldn’t you like to know the chances of making money – or taking a loss — on your next venture? Or the likelihood that your project will finish on time and within budget? How about the probabilities of finding oil or gas, and in what amounts?
Everyone would like answers to these types of questions. Armed with that kind of information, you could take a lot of guesswork out of big decisions and plan strategies with confidence. With @RISK®, you can answer these questions and more – right in your Excel spreadsheet.
@RISK (pronounced “at risk”) performs risk analysis using Monte Carlo simulation to show you many possible outcomes in your spreadsheet model—and tells you how likely they are to occur. It mathematically and objectively computes and tracks many different possible future scenarios, then tells you the probabilities and risks associated with each different one. This means you can judge which risks to take and which ones to avoid, allowing for the best decision making under uncertainty.
@RISK also helps you plan the best risk management strategies through the integration of RISKOptimizer, which combines Monte Carlo simulation with the latest solving technology to optimize any spreadsheet with uncertain values. Using genetic algorithms or OptQuest, along with @RISK functions, RISKOptimizer can determine the best allocation of resources, the optimal asset allocation, the most efficient schedule, and much more.
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@RISK Discription
I have used @RISK as analytical tool on my project. Actually, used to analyze uncertain parameters in my project. Probability distribution of every input parameter must be determined. Then @RISK uses simulations methods such as Mont Carlo Simulation or Latin Hyper-cube or etc. to generate random numbers and analyses project output parameters. Thus, @RISK could represent the range of outputs and their probability distribution. I’ve used this software to access Discounted Cash Flow (DCF) associated risks.I have used @RISK as analytical tool on my project. Actually, used to analyze uncertain parameters in my project. Probability distribution of every input parameter must be determined. Then @RISK uses simulations methods such as Mont Carlo Simulation or Latin Hypercube or etc. to generate random numbers and analyses project output parameters. Thus, @RISK could represent the range of outputs and their probability distribution. I’ve used this software to access Discounted Cash Flow (DCF) associated risks.