EconPapers has moved to http://EconPapers.repec.org! Please update your bookmarks.
A Radial Basis Function Artificial Neural Network Test for ARCH
Andrew Peter Blake () and
George Kapetanios ()
NIESR Discussion Papers from National Institute of Economic and Social Research
Abstract:
We propose a test for ARCH that uses a radial basis function artificial neural network. It outperforms alternative neural network tests in a variety of Monte Carlo experiments.
Date: 1999-09
Downloads: (external link)http://www.niesr.ac.uk/pubs/dps/dp154.pdf (application/pdf)
Related works: Journal Article: A radial basis function artificial neural network test for ARCH (2000) This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: http://EconPapers.repec.org/RePEc:nsr:niesrd:154
Access Statistics for this paper
More papers in NIESR Discussion Papers from National Institute of Economic and Social Research Address: 2 Dean Trench Street Smith Square London SW1P 3HE Series data maintained by Communications Manager ().