DocumentCode :
1916602
Title :
Speculative trades and financial regulations: simulations based on genetic programming
Author :
Chen, Shu-Heng ; Yeh, Chia-Hsuan
Author_Institution :
Dept. of Econ., Nat. Chengchi Univ., Taipei, Taiwan
fYear :
1997
fDate :
23-25 Mar 1997
Firstpage :
123
Lastpage :
129
Abstract :
By exploring a two-dimensional parameter space, the paper pinpoints the area where speculative trades can contribute to the reduction of price volatility and are hence imperative for market efficiency. This area is delimited by a rather restrictive financial regulations imposed on an inherently unstable economy. Specifically, depending on the associated financial regulations, the authors´ GP-based simulations of cobweb markets show that speculative trades may reduce price volatility by 20% to 50% in an inherently unstable economy; on the other hand they may also increase price volatility by 300% to 3000%. The paper generalizes the earlier finding by Chen and Yeh (1997), which basically shows that in an inherently stable economy, speculative trades can only be destabilizing
Keywords :
economics; financial data processing; genetic algorithms; mathematical programming; simulation; stock markets; 2D parameter space; cobweb markets; financial regulations; genetic programming; market efficiency; price volatility reduction; simulations; speculative trades; unstable economy; Cities and towns; Computational intelligence; Computational modeling; Continuing education; Economic forecasting; Electronic mail; Equations; Genetic programming;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence for Financial Engineering (CIFEr), 1997., Proceedings of the IEEE/IAFE 1997
Conference_Location :
New York City, NY
Print_ISBN :
0-7803-4133-3
Type :
conf
DOI :
10.1109/CIFER.1997.618924
Filename :
618924
Link To Document :
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