Bootstrap Neural Network Cointegration Tests Against Nonlinear Alternative Hypotheses

George Kapetanios, Queen Mary University of London

Abstract

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.

Recommended Citation

George Kapetanios (2003) "Bootstrap Neural Network Cointegration Tests Against Nonlinear Alternative Hypotheses", Studies in Nonlinear Dynamics & Econometrics: Vol. 7: No. 2, Article 2.
http://www.bepress.com/snde/vol7/iss2/art2

Related Files

kapetanios_code.zip (9 kB)
program files

 
 
 
 

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