Bootstrap Neural Network Cointegration Tests Against Nonlinear Alternative Hypotheses
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
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kapetanios_code.zip (9 kB)
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