Heteroskedasticity

Heteroskedasticity is a sequence of random variables, that could affect statistical data if they have large variances.It will need and use the 'regstats' and 'chi2cdf' functions from the Statistics Toolbox. Requirements: - MATLAB 7.7 or higher - MATLAB's Statistics Toolbox Platforms: Windows, Mac, *nix, Matlab, BSD Solaris

Heteroskedasticity is a sequence of random variables, that could affect statistical data if they have large variances.It will need and use the 'regstats' and 'chi2cdf' functions from the Statistics Toolbox. Platforms: Matlab

Calculates the Variance Ratio Test of a time series, with or without the heteroskedasticity correction. Platforms: Matlab

Hotelling's T-Squared multivariate test for one sample, two independent samples [homoskedasticity or heteroskedasticity (to test)] and two dependent samples. Platforms: Matlab

The Toolbox forecasts the volatility of a (mxn) vector of data and from a variety of in-built / non-in-built GARCH models with various distributions, as well as the univariate RiskMetrics. The toolbox also estimates a number of Volatility Forecast Loss Functions and if selected Value-at-Risk for... Platforms: Matlab

This toolbox estimates the following volatility loss functions:1. Mean Square Error, MSE2. Mean Absolute Deviation, MAD3. Mean Logarithm of Absolute Errors, MLAE4. Heteroskedasticity-adjusted Mean Square Error, HMSE5. Heteroskedasticity-adjusted Mean Absolute Error, HMAE6. Median Absolute Error,... Platforms: Matlab