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Wavelet Estimation of Copulas for Time Series

Full text
Author(s):
Morettin, Pedro A. ; Toloi, Clelia M. C. ; Chiann, Chang ; de Miranda, Jose C. S.
Total Authors: 4
Document type: Journal article
Source: JOURNAL OF TIME SERIES ECONOMETRICS; v. 3, n. 3, p. 30-pg., 2011-10-01.
Abstract

In this paper, we consider estimating copulas for time series, under mixing conditions, using wavelet expansions. The proposed estimators are based on estimators of densities and distribution functions. Some statistical properties of the estimators are derived and their performance assessed via simulations. Empirical applications to real data are also given. (AU)

FAPESP's process: 08/51097-6 - Time Series, Dependence Analysis and Applications
Grantee:Pedro Alberto Morettin
Support Opportunities: Research Projects - Thematic Grants