Monte Carlo Model Definition
A Monte Carlo model is a type of mathematical model that relies on random sampling to obtain its results. Monte Carlo methods are used in a wide variety of fields, including finance, physics, and computer science.
A Monte Carlo model is created by first defining a set of possible inputs (known as ‘random variables’). These variables can be anything from stock prices to the weather. Once the variables are defined, the model is run many times, with different values for the variables chosen at random each time. The results of the model are then analyzed to see how likely certain outcomes are.
Monte Carlo models are often used when traditional analytical methods cannot be applied, or when the relationships between variables are too complex to be accurately represented by mathematical equations. They can also be used to estimate the risk of future events occurring, such as stock market crashes or natural disasters.
