Literature DB >> 25554020

Chaotic time series analysis in economics: balance and perspectives.

Marisa Faggini1.   

Abstract

The aim of the paper is not to review the large body of work concerning nonlinear time series analysis in economics, about which much has been written, but rather to focus on the new techniques developed to detect chaotic behaviours in economic data. More specifically, our attention will be devoted to reviewing some of these techniques and their application to economic and financial data in order to understand why chaos theory, after a period of growing interest, appears now not to be such an interesting and promising research area.

Year:  2014        PMID: 25554020     DOI: 10.1063/1.4903797

Source DB:  PubMed          Journal:  Chaos        ISSN: 1054-1500            Impact factor:   3.642


  2 in total

1.  A Comprehensive Framework for Uncovering Non-Linearity and Chaos in Financial Markets: Empirical Evidence for Four Major Stock Market Indices.

Authors:  Lucia Inglada-Perez
Journal:  Entropy (Basel)       Date:  2020-12-18       Impact factor: 2.524

2.  All grown up? The fate after 15 years of a quarter of a million UK firms born in 1998.

Authors:  Michael Anyadike-Danes; Mark Hart
Journal:  J Evol Econ       Date:  2018-01-09
  2 in total

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