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Big selection of possibilities: The output is stored different from the information. It stores the info within a independent file.

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GARCH: Normal Autoregressive Conditional Heteroskedasticity, generally abbreviated as GARCH is a linear model used to predict upcoming variances applying past prediction of variances. This statistical design is commonly Utilized in modeling fiscal time series. Homework issued from this spot is made to test the students’ power to use several GARCH styles to find the connection among distinct time collection variables.

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