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On conditional dynamic skewness and directional forecast of currency exchange rates
Hambuckers, julien
20172017 ERCIM - CMstatistics conference
Editorial reviewed
 

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Keywords :
GARCH; exchange rates; uncovered interest rate parity; dynamic skewness; GARCH-in-Mean
Abstract :
[en] This paper studies dynamic skewness and kurtosis specifications for the purpose of directional forecasts of daily exchange rates. To do so, we formulate a GARCH-in-mean model where the innovations follow a non-Gaussian sinh-arcsinh distribution with time-varying asymmetry and shape parameters. The structural equations of these parameters allow for an effect of past stochastic shocks, autoregressive terms and interest rate differential on conditional dynamic. This model is used to predict the direction of change of three major currency pairs (USD/EUR, USD/GBP and USD/CHF) over the period 1999-2016. To account for structural breaks, we consider a state-of-the-art CUSUM test based on the probability integral transform
Disciplines :
Quantitative methods in economics & management
Author, co-author :
Hambuckers, julien ;  Université de Liège - ULiège > HEC Liège : UER > Statistique appliquée à la gestion et à l'économie
Language :
English
Title :
On conditional dynamic skewness and directional forecast of currency exchange rates
Publication date :
December 2017
Number of pages :
Julien Hambuckers
Event name :
2017 ERCIM - CMstatistics conference
Event place :
London, United Kingdom
Event date :
du 15 au 18 décembre 2017
By request :
Yes
Audience :
International
Peer reviewed :
Editorial reviewed
Available on ORBi :
since 14 December 2017

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