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GARCH: Typical Autoregressive Conditional Heteroskedasticity, commonly abbreviated as GARCH is a linear design utilized to forecast long term variances employing previous prediction of variances. This statistical design is greatly used in modeling financial time sequence. Homework issued from this space is built to check the students’ power to use different GARCH versions to locate the connection among distinctive time sequence variables.
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