EconPapers    
Economics at your fingertips  
 

On Tests for Self‐Exciting Threshold Autoregressive‐Type Non‐Linearity in Partially Observed Time Series

Howell Tong and Iris Yeung

Journal of the Royal Statistical Society Series C, 1991, vol. 40, issue 1, 43-62

Abstract: We have adapted and extended the Petruccelli–Davies test, Petruccelli's test and Tsay's test for non‐linearity in time series to cope with partially observed series. The Kalman filtering algorithm is used in the estimation stage to realize the adaptation. Two of the adapted tests are checked with a Monte Carlo study and all three tests are applied to three real series from the financial world. The fine tuning achieved by allowing for closing date effects offers further insights.

Date: 1991
References: Add references at CitEc
Citations: View citations in EconPapers (4)

Downloads: (external link)
https://doi.org/10.2307/2347904

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:bla:jorssc:v:40:y:1991:i:1:p:43-62

Ordering information: This journal article can be ordered from
http://ordering.onli ... 1111/(ISSN)1467-9876

Access Statistics for this article

Journal of the Royal Statistical Society Series C is currently edited by R. Chandler and P. W. F. Smith

More articles in Journal of the Royal Statistical Society Series C from Royal Statistical Society Contact information at EDIRC.
Bibliographic data for series maintained by Wiley Content Delivery ().

 
Page updated 2025-03-19
Handle: RePEc:bla:jorssc:v:40:y:1991:i:1:p:43-62