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GARCH: Common Autoregressive Conditional Heteroskedasticity, commonly abbreviated as GARCH is usually a linear model accustomed to forecast future variances using previous prediction of variances. This statistical design is widely Utilized in modeling financial time series. Homework issued from this region is made to test The scholars’ capability to use several GARCH designs to seek out the connection among different time series variables.
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