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