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GARCH: General Autoregressive Conditional Heteroskedasticity, commonly abbreviated as GARCH can be a linear design utilized to predict potential variances using earlier prediction of variances. This statistical design is commonly used in modeling monetary time series. Assignments issued from this region are meant to check the students’ power to use numerous GARCH versions to search out the connection involving diverse time series variables.
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