EconPapers    
Economics at your fingertips  
 

A Radial Basis Function Artificial Neural Network Test for ARCH

Andrew Blake
Authors registered in the RePEc Author Service: George Kapetanios

No 154, National Institute of Economic and Social Research (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
References: Add references at CitEc
Citations: View citations in EconPapers (14)

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
Journal Article: A radial basis function artificial neural network test for ARCH (2000) Downloads
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: https://EconPapers.repec.org/RePEc:nsr:niesrd:154

Access Statistics for this paper

More papers in National Institute of Economic and Social Research (NIESR) Discussion Papers from National Institute of Economic and Social Research 2 Dean Trench Street Smith Square London SW1P 3HE. Contact information at EDIRC.
Bibliographic data for series maintained by Library & Information Manager ().

 
Page updated 2025-03-19
Handle: RePEc:nsr:niesrd:154