Monte Carlo simulation

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Monte Carlo simulation

An analytical technique for solving a problem by performing a large number of trail runs, called simulations, and inferring a solution from the collective results of the trial runs. Method for calculating the probability distribution of possible outcomes.

Monte Carlo Simulation

A computer simulation that seeks to determine the likelihood of various scenarios by running multiple simulations using random variables. The results of the Monte Carlo simulation show the most likely outcomes.

Monte Carlo simulation.

A Monte Carlo simulation can be used to analyze the return that an investment portfolio is capable of producing. It generates thousands of probable investment performance outcomes, called scenarios, that might occur in the future.

The simulation incorporates economic data such as a range of potential interest rates, inflation rates, tax rates, and so on. The data is combined in random order to account for the uncertainty and performance variation that's always present in financial markets.

Financial analysts may employ Monte Carlo simulations to project the probability of your retirement account investments producing the return you need to meet your long-term goals.

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The best practices for using and defending Monte Carlo simulation in litigation
This section present the experiments carried out with both methodologies: the traditional methodology of Monte Carlo simulation (ROV, from now on) and the proposed hybrid methodology with fuzzy numbers (FROV, from now on).
Perhaps the best way to test the validity of a Monte Carlo simulation is to prepare a 30-year simulation using an initial draw-down rate increased each year by a rate to keep pace with inflation--5 percent initial draw-down on the portfolio with a 3.
With the first exercise, I typically provide a set of detailed instructions on how to conduct Monte Carlo simulation in Excel and a spreadsheet template similar to Figures 1 and 2 (see the course Web page).
Monte Carlo simulation is a stochastic technique; it has been widely applied in radiation transport studies since photon tissue interaction is a random process.
Product Availability and Additional Information The new Flowmaster product with the FMI interface, parametric studies, Monte Carlo simulation, secondary air and natural circulation features is available for immediate shipment.
Topics include development of the photonuclear activation file, nuclear data for minor actinides, differential cross sections of complex particle emission reactions, Monte Carlo simulation of the fission fragments evaporation process, random matrix theory in statistical analysis of resonances, and nuclear data services.
For example, a single large Monte Carlo simulation or "what if" scenario can contain 40,000 variables, 20 time periods and 50,000 paths and crunch through 300 gigabytes of numbers--the equivalent of processing five terabytes of data within a matter of minutes.
It is this inherent randomness that give a Monte Carlo simulation its name, since the random numbers it incorporates are not that dissimilar from the various games of chance found in a casino.
With @RISK's Monte Carlo simulation capability you can see all outcomes and make the right decision.
The experimental results support the conclusions of a Monte Carlo simulation that the spectrometer will reduce the uncertainty in a due to electron backscatter to less than 0.

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