EconPapers    
Economics at your fingertips  
 

Robust Estimation of GARMA Model Parameters with an Application to Cointegration among Interest Rates of Industrialized Countries

Rajalakshmi Ramachandran and Paul Beaumont

Computational Economics, 2001, vol. 17, issue 2-3, 179-201

Abstract: We review the literature on long memory ARFIMA and GARMA models and introduce a new efficient estimator for GARMA models, which we show to be robust. Next we conduct a Monte Carlo study to demonstrate the power of the Dickie-Fuller test when the data are generated from a stationary GARMA process. We conclude with a brief discussion of cointegration in the context of GARMA models with an application to international interest rates. Copyright 2001 by Kluwer Academic Publishers

Date: 2001
References: Add references at CitEc
Citations: View citations in EconPapers (10)

Downloads: (external link)
http://journals.kluweronline.com/issn/0927-7099/contents (text/html)
Access to the full text of the articles in this series is restricted.

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:kap:compec:v:17:y:2001:i:2-3:p:179-201

Ordering information: This journal article can be ordered from
http://www.springer. ... ry/journal/10614/PS2

Access Statistics for this article

Computational Economics is currently edited by Hans Amman

More articles in Computational Economics from Springer, Society for Computational Economics Contact information at EDIRC.
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-19
Handle: RePEc:kap:compec:v:17:y:2001:i:2-3:p:179-201