Caivano, M., Harvey, A. C. and Luati, A.
Robust time series models with trend and seasonal components
SERIEs : Journal of the Spanish Economic Association
pp. 99-120 (2016)
Abstract: We describe observation driven time series models for Student-t and EGB2 conditional distributions in which the signal is a linear function of past values of the score of the conditional distribution. These specifications produce models that are easy to implement and deal with outliers by what amounts to a soft form of trimming in the case of t and a soft form of Winsorizing in the case of EGB2. We show how a model with trend and seasonal components can be used as the basis for a seasonal adjustment procedure. The methods are illustrated with US and Spanish data.
Keywords: Fat tails, EGB2, Score, Robustness, Student's t, Trimming, Winsorizing
JEL Codes: C22, G17
Author links: Andrew Harvey
Publisher's Link: http://link.springer.com/10.1007/s13209-015-0134-1 
Keynes Fund Project(s):
Dynamic Models for Volatility and Heavy Tails (JHLC)
Dynamic Models for Volatility and Heavy Tails (JHLH)
