Bootstrap Neural Network Cointegration Tests Against Nonlinear Alternative Hypotheses

Verfasser / Beitragende:
[George Kapetanios]
Ort, Verlag, Jahr:
2003
Enthalten in:
Studies in Nonlinear Dynamics & Econometrics, 7/2(2003-07-01)
Format:
Artikel (online)
ID: 378868497
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100 1 |a Kapetanios  |D George  |u 1Queen Mary University of London, G.Kapetanios@qmul.ac.uk 
245 1 0 |a Bootstrap Neural Network Cointegration Tests Against Nonlinear Alternative Hypotheses  |h [Elektronische Daten]  |c [George Kapetanios] 
520 3 |a This paper introduces bootstrap neural network pure significance tests for the no cointegration hypothesis against nonlinear cointegration alternatives. The theoretical properties of the tests are discussed and a Monte Carlo investigation of their small sample properties is undertaken. 
540 |a ©2011 Walter de Gruyter GmbH & Co. KG, Berlin/Boston 
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