Research on the cumulative effect of financial innovation by chaos model

Guo Wen Han, Warren Young

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Based on an understanding and analysis of the complexity of a financial system and the chaotic features of its evolution, we focus upon how chaotic rules impact on financial innovation in the perspective of chaotic economic theory. A chaotic model of the cumulative effect of financial innovation is set up to study the factors affecting the cumulative effect of financial innovation. These include the impetus for innovation within the financial system itself, the pulling force of economic growth, regulation, and the factors that also slow down financial evolution. All of these influences are dictated by chaotic rules. Our approach should provide both deeper understanding and a wider basis for a regulatory authority to apply control in financial innovation.

Original languageEnglish
Title of host publicationProceedings - ICSSSM'07
Subtitle of host publication2007 International Conference on Service Systems and Service Management
DOIs
StatePublished - 2007
EventICSSSM'07: 2007 International Conference on Service Systems and Service Management - Changdu, China
Duration: 9 Jun 200711 Jun 2007

Publication series

NameProceedings - ICSSSM'07: 2007 International Conference on Service Systems and Service Management

Conference

ConferenceICSSSM'07: 2007 International Conference on Service Systems and Service Management
Country/TerritoryChina
CityChangdu
Period9/06/0711/06/07

Keywords

  • Chaos model
  • Cumulative effect
  • Financial innovation

Fingerprint

Dive into the research topics of 'Research on the cumulative effect of financial innovation by chaos model'. Together they form a unique fingerprint.

Cite this