Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/54982
Authors: 
Knüppel, Malte
Year of Publication: 
2011
Series/Report no.: 
Discussion Paper Series 1: Economic Studies 2011,32
Abstract: 
The evaluation of multi-step-ahead density forecasts is complicated by the serial correlation of the corresponding probability integral transforms. In the literature, three testing approaches can be found which take this problem into account. However, these approaches can be computationally burdensome, ignore important information and therefore lack power, or suffer from size distortions even asymptotically. In this work, a fourth testing approach based on raw moments is proposed. It is easy to implement, uses standard critical values, can include all moments regarded as important, and has correct asymptotic size. It is found to have good size and power properties if it is based directly on the (standardized) probability integral transforms.
Subjects: 
density forecast evaluation
normality tests
JEL: 
C12
C52
C53
ISBN: 
978-3-86558-773-2
Document Type: 
Working Paper

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