The Effect of the Nikkei and the S&P on the All-Ordinaries: A Comparison of Three Models

Guay Lim and Paul McNelis ()

International Journal of Finance & Economics, 1998, vol. 3, issue 3, 217-28

Abstract: This paper examines the influence of shocks in the Japanese Nikkei Index and in the US S&P Index on the Australian All-Ordinaries Index. We present results from the application of three models--an autoregressive linear model, a GARCH-M model and a non-linear neural network model. According to standard forecast statistics, a restricted feedforward neural network model, incorporating parallel processing of information specified by time-zones, out-performs the linear and GARCH-M models. However, according to the Diebold-Mariano test of forecast accuracy, the mean loss differential between the neural network and the linear model is not statistically different from zero, while that between the neural network and the GARCH-M is statistically different from zero. Copyright @ 1998 by John Wiley & Sons, Ltd. All rights reserved.

Date: 1998
References: Add references at CitEc
Citations: View citations in EconPapers (5)

Downloads: (external link)
http://www3.interscience.wiley.com/cgi-bin/jtoc?ID=15416 (text/html)
Access to full text is restricted to subscribers.

Related works:
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:ijf:ijfiec:v:3:y:1998:i:3:p:217-28

Ordering information: This journal article can be ordered from
http://jws-edcv.wile ... PRINT_ISSN=1076-9307

Access Statistics for this article

International Journal of Finance & Economics is currently edited by Mark P. Taylor, Keith Cuthbertson and Michael P. Dooley

More articles in International Journal of Finance & Economics from John Wiley & Sons, Ltd.
Bibliographic data for series maintained by Wiley-Blackwell Digital Licensing () and Christopher F. Baum ().