A mixture autoregressive model based on Gaussian and Student's t-distributions

2020/03/11 by Virolainen, Savi
#62M10 #Econometrics (econ.EM) #FOS: Computer and information sciences #FOS: Economics and business #FOS: Mathematics #Methodology (stat.ME) #Statistics Theory (math.ST)

paper · doi:10.48550/arxiv.2003.05221

Abstract

We introduce a new mixture autoregressive model which combines Gaussian and Student's t mixture components. The model has very attractive properties analogous to the Gaussian and Student's t mixture autoregressive models, but it is more flexible as it enables to model series which consist of both conditionally homoscedastic Gaussian regimes and conditionally heteroscedastic Student's t regimes. The usefulness of our model is demonstrated in an empirical application to the monthly U.S. interest rate spread between the 3-month Treasury bill rate and the effective federal funds rate.

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