DocumentCode
3326034
Title
Stock market feedback trading, fat-tail distribution and return autocorrelation
Author
Zhao Peng-ju ; Liu Yu-min
Author_Institution
Manage. Sch., Northwestern Polytech. Univ., Xian
fYear
2008
fDate
10-12 Sept. 2008
Firstpage
1269
Lastpage
1274
Abstract
Feedback is the trading strategy of irrational investors. Positive feedback traderspsila buying or selling behavior is decided by the stock price of the preceding period. On the presence of positive feedback trading, stock market returns show characteristics which are different from these assumed in the classical financial theory, and thus make the stock market fluctuate extraordinarily. This essay establishes a model with the participation of positive feedback trader and rational trader. The irrational traders adopt feedback trading strategy. Based on the model, we used Monte Carlo simulation method to produce a time series. We computed the kurtosis, tail-index and the autocorrelation coefficient of the time series and compared with the relevant quantity of Shanghai stock market index time series. It turned out that our model can provide a powerful expression to the fat-tail and autocorrelation characteristics of stock market return.
Keywords
Monte Carlo methods; investment; stock markets; time series; Monte Carlo simulation; buying behavior; fat-tail distribution; feedback trading; financial theory; index time series; irrational investor; irrational trader; kurtosis; return autocorrelation; selling behavior; stock market; stock price; tail-index; Autocorrelation; Conference management; Engineering management; Feedback; Finance; Frequency; Gaussian distribution; Security; Stock markets; Testing; behavior finance; fat-tail distribution; feedback trading; irrational trader; return autocorrelation;
fLanguage
English
Publisher
ieee
Conference_Titel
Management Science and Engineering, 2008. ICMSE 2008. 15th Annual Conference Proceedings., International Conference on
Conference_Location
Long Beach, CA
Print_ISBN
978-1-4244-2387-3
Electronic_ISBN
978-1-4244-2388-0
Type
conf
DOI
10.1109/ICMSE.2008.4669071
Filename
4669071
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