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題名 Microstructure Dynamics and Agent-based Financial Markets: Can Dinosaurs Return?
作者 Kampouridis,Michael ;Chen,Shu-Heng;Tsang,Edward
貢獻者 政大經濟系
關鍵詞 Genetic programming;self-organizing feature map;market microstructure;market behavior dynamics;dinosaur hypothesis
日期 2012-09
上傳時間 16-Sep-2013 17:27:37 (UTC+8)
摘要 This paper formalizes observations made under agent-based artificial stock market models into a concrete hypothesis, which is called the Dinosaur Hypothesis. This hypothesis states that the behavior of financial markets constantly changes and that the trading strategies in a market need to continuously co-evolve with it in order to remain effective. After formalizing the hypothesis, we suggest a testing methodology and run tests under 10 international financial markets. Our tests are based on a framework that we recently developed, which used Genetic Programming as a rule inference engine, and Self-Organizing Maps as a clustering machine for the above rules. However, an important assumption of that study was that maps among different periods were directly comparable with each other. In order to allow this to happen, we had to keep the same clusters throughout the different time periods of our experiments. Nevertheless, this assumption could be considered as strict or even unrealistic. In this paper, we relax this assumption. This makes our model more realistic. In addition, this allows us to investigate in depth the dynamics of market behavior and test for the plausibility of the Dinosaur Hypothesis. The results show that indeed markets` behavior constantly changes. As a consequence, strategies need to continuously co-evolve with the market; if they do not, they become obsolete or dinosaurs.
關聯 Advances in Complex Systems, 15(5), 1250060-1-1250060-27
資料類型 article
dc.contributor 政大經濟系en_US
dc.creator (作者) Kampouridis,Michael ;Chen,Shu-Heng;Tsang,Edwarden_US
dc.date (日期) 2012-09en_US
dc.date.accessioned 16-Sep-2013 17:27:37 (UTC+8)-
dc.date.available 16-Sep-2013 17:27:37 (UTC+8)-
dc.date.issued (上傳時間) 16-Sep-2013 17:27:37 (UTC+8)-
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/60940-
dc.description.abstract (摘要) This paper formalizes observations made under agent-based artificial stock market models into a concrete hypothesis, which is called the Dinosaur Hypothesis. This hypothesis states that the behavior of financial markets constantly changes and that the trading strategies in a market need to continuously co-evolve with it in order to remain effective. After formalizing the hypothesis, we suggest a testing methodology and run tests under 10 international financial markets. Our tests are based on a framework that we recently developed, which used Genetic Programming as a rule inference engine, and Self-Organizing Maps as a clustering machine for the above rules. However, an important assumption of that study was that maps among different periods were directly comparable with each other. In order to allow this to happen, we had to keep the same clusters throughout the different time periods of our experiments. Nevertheless, this assumption could be considered as strict or even unrealistic. In this paper, we relax this assumption. This makes our model more realistic. In addition, this allows us to investigate in depth the dynamics of market behavior and test for the plausibility of the Dinosaur Hypothesis. The results show that indeed markets` behavior constantly changes. As a consequence, strategies need to continuously co-evolve with the market; if they do not, they become obsolete or dinosaurs.en_US
dc.format.extent 573719 bytes-
dc.format.mimetype application/pdf-
dc.language.iso en_US-
dc.relation (關聯) Advances in Complex Systems, 15(5), 1250060-1-1250060-27en_US
dc.subject (關鍵詞) Genetic programming;self-organizing feature map;market microstructure;market behavior dynamics;dinosaur hypothesisen_US
dc.title (題名) Microstructure Dynamics and Agent-based Financial Markets: Can Dinosaurs Return?en_US
dc.type (資料類型) articleen