Software
We've compiled a list of 15 free and paid alternatives to SimulAr. The primary competitors include Oracle Crystal Ball, Simple Decision Tree. In addition to these, users also draw comparisons between SimulAr and TUKHI, TreePlan, SAFE TOOLBOXES. Also you can look at other similar options here: About.
We've compiled a list of 15 free and paid alternatives to SimulAr. The primary competitors include Oracle Crystal Ball, Simple Decision Tree. In addition to these, users also draw comparisons between SimulAr and TUKHI, TreePlan, SAFE TOOLBOXES. Also you can look at other similar options here: About.
21
Oracle Crystal Ball is the leading spreadsheet-based application suite for predictive modeling...
3
Simple Decision Tree is an Excel Add-in created by Thomas Seyller.
2
0
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SAFE TOOLBOXES is an Excel add-in that enhances Excel capabilities to perform simulations...
-5
The Lumenaut Excel software add-in features a Monte Carlo simulation software package, a Decision...
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ComplyGlobal is a cloud-based global compliance management software to manage your risks...
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Risk Solver provides Instant, interactive risk analysis in Excel, with lightning-fast simulations...
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MC FLO is a add-in which make it easier to take decisions using the Monte-Carlo simulation approach.
-3
SimulAr: Montecarlo simulation in Excel
SimulAr: Montecarlo simulation in Excel
Windows
SimulAr is a Monte Carlo simulation software designed to analyze and evaluate business situations and taking decisions under a risk context. Risk analysis is a technique used to help decision-makers to evaluate a problem under uncertainty conditions. In that context, to obtain the closer possible result in comparison to what will happen in the future is indispensable when you are making an economic evaluation. According to this point, it is necessary to appeal to methods that consider and quantify the risk. Nowadays, a great number of managers, business analysts and MBA students, use spreadsheets to develop their models or to evaluate their projects. SimulAr is a program developed as a complement of Microsoft Excel (Add-in) and it is characterized by their simplicity and flexibility allowing the user to handle in a well-known environment.
SimulAr focuses in the method denominated "Monte Carlo Simulation" to make a risk analysis. This method consists on assigning probability distributions to model variables that involve risk and then generating random numbers based on those distributions in order to simulate the behavior the modeled problem will have in the future. By this way, it is possible to obtain more realism and reliable results when making decisions.
Traditionally, risk analyses were made studying static and one-dimension scenarios (for example, a pessimistic scenario, a more likely scenario, and an optimist scenario) predicting only one result when sensitizing the variables. SimulAr allows the user thoroughly complete this study incorporating dynamism to the model obtaining not only extreme values but also all those scenarios that are in between. This allows, for example, estimating the probability that an investment project has a net present value greater than zero.
Montecarlo Simulation in Excel
Decisions under uncertainty conditions
Developed by Luciano Machain - Copyright 2010
Excel Add-in
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