Robust Estimation of GARMA Model Parameters with an Application to Cointegration among Interest Rates of Industrialized Countries.
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
Year of publication: |
2001
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Authors: | Ramachandran, Rajalakshmi ; Beaumont, Paul |
Published in: |
Computational Economics. - Society for Computational Economics - SCE, ISSN 0927-7099. - Vol. 17.2001, 2-3, p. 179-201
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Publisher: |
Society for Computational Economics - SCE |
Saved in:
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