Published December 2014
| Version v1
Journal article
Chaotic time series analysis in economics: Balance and perspectives
Creators
- 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
- DOI
- 10.1063/1.4903797;
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
- (c) 2014 AIP Publishing LLC