Bootstrap - A Non-Parametric Approach. Finance and Statistics Models.

Bootstrap - A Non-Parametric Approach. Finance and Statistics Models

Finance and Statistics Models Set (Set 1) contains different topics in finance and statistics from simple model such as computing standard deviation and mean to more advanced models such as Monte Carlo simulation, multivariate standard normal distribution, multiple regression, and option pricing models.

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Bootstrap - A Non-Parametric Approach Back to: Finance and Statistics Models Set (Set 1)

Bootstrap is a derivation of Monte Carlo technique introduced by Efron in 1979. It uses the re-sampling with replacement method (unlike the re-sampling with no replacement method that we used in the Lotto Number Generator example). It is a convenient tool to extract estimates (such as standard deviation and confident interval) from a non-parametric data set (a data set with no underling distribution is assumed) or estimates that do not have a closed form (cannot be expressed in an equation)..

Back to: Finance and Statistics Models Set (Set 1)

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