Quantile and Copula Spectrum: A New Approach to Investigate Cyclical Dependence in Economic Time Series

Author(s):  
Gilles Dufrénot ◽  
Takashi Matsuki ◽  
Kimiko Sugimoto
1993 ◽  
Vol 03 (03) ◽  
pp. 583-587 ◽  
Author(s):  
CLAIRE G. GILMORE

Whether certain financial and economic time series exhibit chaotic behavior is an issue currently in dispute. Empirical research on chaotic behavior in such data has been hampered by lack of an adequate test. Metric methods do not produce reliable results when applied to small, noisy data sets. Thus, reported results have been inconclusive. Here we apply a new, topological approach to analyzing for chaos, recently developed in the physics literature, to a number of financial and economic series previously subjected to metric tests. The results of the topological test are compared with those reported in the literature using metric methods.


1987 ◽  
Vol 82 (400) ◽  
pp. 1064-1071 ◽  
Author(s):  
Steven C. Hillmer ◽  
Abdelwahed Trabelsi

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