Please use this identifier to cite or link to this item: https://doi.org/10.1109/ICCA.2009.5410216
Title: Modeling and analysis of financial markets using system adaptation and frequency domain approach
Authors: Zheng, X.
Chen, B.M. 
Issue Date: 2009
Source: Zheng, X., Chen, B.M. (2009). Modeling and analysis of financial markets using system adaptation and frequency domain approach. 2009 IEEE International Conference on Control and Automation, ICCA 2009 : 1068-1073. ScholarBank@NUS Repository. https://doi.org/10.1109/ICCA.2009.5410216
Abstract: In this paper, we adopt the concept of feedback systems to model the behavior of financial markets, or more specifically, the stock market. Based on a feedback adaptation scheme, we model the price movement of a stock counter with an internal model using the well-known exponential moving average technique together with an adaptive filter, which is to be adjusted for an individual counter. Its input-output behavior, and internal as well as external forces are then identified. The estimated external force is analyzed and characterized in the frequency domain. Test results show that there are highly significant components contained in its frequency contents. The appearing time and locations of these components provide empirical indications of majoring turning points in the market and seasonality effects in stock returns. Statistical tests such as Bai-Perron test, Kruskal-Wallis H test and Mann-Whitney U test are employed to evidence these market properties. ©2009 IEEE.
Source Title: 2009 IEEE International Conference on Control and Automation, ICCA 2009
URI: http://scholarbank.nus.edu.sg/handle/10635/70974
ISBN: 9781424447060
DOI: 10.1109/ICCA.2009.5410216
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