Monte Carlo Simulation

Dictionary Says

Definition of 'Monte Carlo Simulation'

A problem solving technique used to approximate the probability of certain outcomes by running multiple trial runs, called simulations, using random variables. 
Investopedia Says

Investopedia explains 'Monte Carlo Simulation'

Monte Carlo simulation is named after the city in Monaco, where the primary attractions are casinos that have games of chance. Gambling games, like roulette, dice, and slot machines, exhibit random behavior.

Related Definitions

  • Black Box Model

    A computer program into which users enter information and the system utilizes pre-programmed logic to return output to the user.
    Read More »
  • Liability Matching

    An increasingly popular investment strategy that attempts to time future assets sales and income streams to match against expected future expenses. The strategy has become widely ...
    Read More »
  • Quantitative Analysis

    A business or financial analysis technique that seeks to understand behavior by using complex mathematical and statistical modeling, measurement and research. By assigning a numerical ...
    Read More »
    • Type I Error

      A type of error that occurs when a null hypothesis is rejected although it is true. The error accepts the alternative hypothesis, despite it being attributed to chance. Also referred to ...
      Read More »
    • Scenario Analysis

      The process of estimating the expected value of a portfolio after a given period of time, assuming specific changes in the values of the portfolio's securities or key factors that would ...
      Read More »
    • Type II Error

      A statistical term used within the context of hypothesis testing that describes the error that occurs when one accepts a null hypothesis that is actually false. The error rejects the ...
      Read More »
    • Stochastic Modeling

      A method of financial modeling in which one or more variables within the model are random. Stochastic modeling is for the purpose of estimating the probability of outcomes within a ...
      Read More »
    • Beta Risk

      The probability that a false null hypothesis will be accepted by a statistical test. This is also known as a Type II error. The primary determinant of the amount of beta risk is the ...
      Read More »
    • Multivariate Model

      A popular statistical tool that uses multiple variables to forecast possible investment outcomes. Multivariate models predict outcomes of situations that are affected by more than one ...
      Read More »
    • Bell Curve

      The most common type of distribution for a variable. The term "bell curve" comes from the fact that the graph used to depict a normal distribution consists of a bell-shaped line. The ...
      Read More »

Articles Of Interest

Partner Links