2001•Journal of Time Series AnalysisRequires access

Prediction in ARMA Models with GARCH in Mean Effects

Menelaos G. Karanasos

Open publisher page 35 citations

Abstract

This paper considers forecasting the conditional mean and variance from an ARMA model with GARCH in mean effects. Expressions for the optimal predictors and their conditional and unconditional MSEs are presented. We also derive the formula for the covariance structure of the process and its conditional variance. JEL. C22.

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What this paper is about

This paper considers forecasting the conditional mean and variance from an ARMA model with GARCH in mean effects. Expressions for the optimal predictors and their conditional and unconditional MSEs are presented. We also derive the formula for the covariance structure of the process and its conditional variance. JEL. C22.

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Available abstract

This paper considers forecasting the conditional mean and variance from an ARMA model with GARCH in mean effects. Expressions for the optimal predictors and their conditional and unconditional MSEs are presented. We also derive the formula for the covariance structure of the process and its conditional variance. JEL. C22.

Key concepts: Conditional variance, Mathematics, Autoregressive conditional heteroskedasticity, Conditional expectation, Econometrics, Variance (accounting), Covariance, Statistics

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