Improving cross-correlation tests through re-sampling techniques
In this paper, we show that type I and type II errors of the cross-correlation test between two autocorrelated time series can be reduced, in some cases, by means of tabulation of the empirical distribution of the sample cross-correlation coefficient, using alternative re-sampling techniques.
Year of publication: |
2002
|
---|---|
Authors: | Belaire-Franch, Jorge ; Contreras-Bayarri, Dulce |
Published in: |
Journal of Applied Statistics. - Taylor & Francis Journals, ISSN 0266-4763. - Vol. 29.2002, 5, p. 711-720
|
Publisher: |
Taylor & Francis Journals |
Saved in:
Saved in favorites
Similar items by person
-
A note on resampling the integration across the correlation integral with alternative ranges
Belaire-Franch, Jorge, (2003)
-
Testing for non-linearity in an artificial financial market : a recurrence quantification approach
Belaire-Franch, Jorge, (2004)
-
A note on change in persistence of U.S. city prices
Belaire-Franch, Jorge, (2022)
- More ...