Dominique Guegan () (CES - Centre d'économie de la Sorbonne - CNRS : UMR8174 - Université Panthéon-Sorbonne - Paris I, EEP-PSE - Ecole d'Économie de Paris - Paris School of Economics - Ecole d'Économie de Paris)
Additional information is available for the following
registered author(s):
This paper focuses on the use of dynamical chaotic systems in Economics and Finance. In these fields, researchers employ different methods from those taken by mathematicians and physicists. We discuss this point. Then, we present statistical tools and problems which are innovative and can be useful in practice to detect the existence of chaotic behavior inside real data sets.
Download Info
To download:
If you experience problems downloading a file, check if you have the
proper application to
view it first. Information about this may be contained
in the File-Format links below. In case of further problems read
the IDEAS help
page. Note that these files are not on the IDEAS
site. Please be patient as the files may be large.
Length: Date of creation: Apr 2009 Date of revision: Publication status: Published, Annual Reviews in Control, 2009, 33, 1, 89-93 Handle: RePEc:hal:cesptp:halshs-00375713_v1
Note: View the original document on HAL open archive server: http://halshs.archives-ouvertes.fr/halshs-00375713/en/ Contact details of provider: Web page: http://hal.archives-ouvertes.fr/
For technical questions regarding this item, or to correct its listing, contact: (CCSD).
References listed on IDEAS Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.: