Title :
Can learning affect the effectiveness of price limits?
Author :
Yeh, Chia-Hsuan ; Yang, Chun-Yi
Author_Institution :
Dept. of Inf. Manage., Yuan Ze Univ., Chungli, Taiwan
Abstract :
This paper examines how different learning methods may affect the effectiveness of price limits. We consider three different learning styles: zero-intelligence (ZI), zero-intelligence-plus (ZIP), and genetic programming learning. Our results indicate that the different learning behavior indeed gives rise to different impacts on the market. Therefore, policy makers have to take into account traders´ learning styles when they plan to impose financial regulations on the market so as to achieve the effects they expected.
Keywords :
genetic algorithms; pricing; stock markets; financial market; financial regulation; genetic programming learning; learning behavior; learning method; market impact; policy making; price limit effectiveness; stock market; trader learning style; zero-intelligence-plus learning; Barium; Biological system modeling; Forecasting; Learning systems; Silicon; Stock markets; Time series analysis; Agent-Based Modeling; Artificial Stock Market; Genetic Programming; Learning; Price Limits;
Conference_Titel :
Evolutionary Computation (CEC), 2012 IEEE Congress on
Conference_Location :
Brisbane, QLD
Print_ISBN :
978-1-4673-1510-4
Electronic_ISBN :
978-1-4673-1508-1
DOI :
10.1109/CEC.2012.6256582