Value-at-Risk Prediction in R with the GAS Package

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Generalized Autoregressive Score (GAS) models have been recently proposed as valuable tools for signal extraction and prediction of time series processes with time–varying parameters. For financial risk managers, GAS models are useful as they take the non–normal shape of the conditional distribution into account in the specification of the volatility process. Moreover, they lead to […]