DocumentCode
495732
Title
Chaos in Capital Market
Author
Zou, Xiangqing ; Zhang, Meilin
Author_Institution
Sch. of Manage., Shanghai Univ., Shanghai, China
Volume
2
fYear
2009
fDate
March 31 2009-April 2 2009
Firstpage
293
Lastpage
296
Abstract
US subprime mortgage crisis is dragging the world into a terrible abyss of financial crisis. The major stock indexes of the world are all falling continuously and sharply. This paper analyzes the world-wide financial crisis from the perspective of chaos theory. We analyze the world´s major stock indexes - the Dow Jones index, London FTSE 100 index, the CAC40 index of France, the Nikkei 225 index, the Hang Seng Index in Hong Kong and Shanghai Composite Index. We calculate the Lyapunov exponents based on the rate of monthly returns of the indexes mentioned above by the use of the phase-space reconstruction techniques and Wolf algorithms. We also calculate fractal dimension based on the time series data of the monthly returns rate of the indexes mentioned above by the use of the G-P algorithms put forward by P ldr Grassberger and I ldr Procaccia. The results show that these major indexes are obvious characteristics of the chaos.
Keywords
chaos; stock markets; time series; CAC40 index of France; Dow Jones index; Hang Seng Index; London FTSE 100 index; Lyapunov exponents; Nikkei 225 index; Shanghai Composite Index; US subprime mortgage crisis; Wolf algorithms; capital market; chaos theory; financial crisis abyss; phase-space reconstruction techniques; time series data; world major stock indexes; Chaos; Computer science; Crisis management; Engineering management; Exchange rates; Finance; Financial management; Forward contracts; Fractals; Loans and mortgages; Chaos; Lyapunov index; Stock market dynamics; fractal dimension; subprime mortgage crisis;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Information Engineering, 2009 WRI World Congress on
Conference_Location
Los Angeles, CA
Print_ISBN
978-0-7695-3507-4
Type
conf
DOI
10.1109/CSIE.2009.448
Filename
5171346
Link To Document