Published December 2014 | Version v1
Journal article

Chaotic time series analysis in economics: Balance and perspectives

  • 1. Dipartimento di Scienze Economiche e Statistiche, Università di Salerno, Fisciano 84084 (Italy)

Description

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

Additional details

Identifiers

Publishing Information

Journal Title
Chaos (Woodbury, N. Y.)
Journal Volume
24
Journal Issue
4
Journal Page Range
p. 042101-042101.10
ISSN
1054-1500
CODEN
CHAOEH

INIS

Country of Publication
United States
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
46110836
Subject category
S71: CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS;
Resource subtype / Literary indicator
Numerical Data
Descriptors DEI
CHAOS THEORY; ECONOMICS; FINANCIAL DATA; NONLINEAR PROBLEMS; REVIEWS; TIME-SERIES ANALYSIS
Descriptors DEC
DATA; DOCUMENT TYPES; INFORMATION; MATHEMATICS; NUMERICAL DATA; STATISTICS

Optional Information

Notes
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