International Monetary Fund uses Monte Carlo Simulation for Stress Testing

An IMF working paper this month contemplates the effectiveness of lending arrangements the institution makes to various countries around the world.  The paper, “Assessing IMF Lending: A Model of Sample Selection,” seeks to identify and understand common factors that make programs effective – or not.  Using Monte Carlo simulation to assess the impacts of various […]

Graphing and Reporting Improvements in @RISK 7.5

New to version 7.5, all graphs and reports in @RISK now feature a more streamlined interface, to accomplish more in fewer clicks.  One of the many additions made to help save time: you can now toggle between your default probability, cumulative and tornado graphs without having to click from each respective drop-down menu. The new style […]

Take Control Over Your CPU in @RISK and RISKOptimizer

@RISK has the ability to use multiple CPUs, but have you ever wanted more control to choose how many CPUs are used in @RISK to run simulations?  Now you can decide exactly how many CPUs to utilize, giving you more control of @RISK simulations and your computer! RISKOptimizer also now has the capability of using multiple CPUs, dramatically […]

New Functions in @RISK 7.5!

Functions are at the heart of risk analysis involving Monte Carlo simulation. In version 7.5 we have added a total of 22 new functions – 16 distribution functions and 6 new statistical functions. @RISK’s new distribution functions will appeal to a variety of industries and applications: RiskDagum – This distribution is mostly associated with modeling […]

New and Improved Tornado Graphs in @RISK 7.5

It’s often difficult to determine which factors require the most attention in business decisions which can lead to focusing on the wrong things while ignoring what’s most important.  Tornado graphs are an effective way to determine which aspects have the most impact on a business decision, so you can focus on what matters rather than […]