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GARCH: General Autoregressive Conditional Heteroskedasticity, typically abbreviated as GARCH is usually a linear model used to forecast long run variances employing previous prediction of variances. This statistical design is broadly Utilized in modeling economical time collection. Homework issued from this space is meant to check the students’ ability to use different GARCH types to discover the connection involving different time sequence variables.
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