Innovation Management of Stock Trading System

  • Yi-Ping Lee Department of Business Administration National Chung Hsing University, Taichung, Taiwan
Keywords: innovation management, per day stock trading price change limit, business operation, business management.

Abstract

Stock trading market fluctuated wildly, which affect a country's economic and business operation. One of the important factor in stock trading system is price change limit, in the case of Taiwan is 7 percent ups and downs per day. Nowadays stock price change limit is set by the government, and that is based on the economic development of the country, but this price change limit is not the same with business’s view point. Basically business is a private owned property, and the authority of business have to responsible for the performance of operation. Release part control right of the price change limit to business by an innovation management way, which method allow companies decide 1 to 2 percent ups and downs price change limit, but this rate is still under the control of government. Innovation stock trading system will activate the trading of stock market.

References

C. Caldwell and M. H. Hansen, “Trustwor thiness, governance, and wealth creation,” Journal of Business Ethics, vol. 97, no. 2, pp. 173-188, 2010.

E. F. Fama, “The behavior of stock-market prices,” The Journal of Business, vol. 38, no. 1, pp. 34-105, 1965.

E. F. Fama, “Risk, return, and equilibrium,” Journal of Political Economy, vol. 79, no. 1, pp. 30-55, 1971.

E. F. Fama and J. D. MacBeth, “Risk, return, and equilibrium: empirical tests,” The Journal of Political Economy, vol. 81, no. 3, pp. 607-636, 1973.

G. J. Kuserk and P. R. Locke, “Market making with price limits,” The Journal of Future Market, vol. 16, no. 6, pp. 677-696, 1996.

J. Guy, “Making: the role of governance,” Journal of Financial Planning, vol. 8, no. 1, pp. 34, 1995.

H. M. Markowitz, “Foundations of portfolio theory,” The Journal of Finance, vol. 46, no. 2, pp. 469-477, 1991.

H. Qu and X. Li, “Building technical trading system with genetic programming: a new method to test the efficiency of Chinese stock markets,” Computational Economics, vol. 43, pp. 301-311, 2014.

J. Sutthisit, S. Wu, and B. Yu, “Positive feedback trading in Chinese stock markets: empirical evidence from Shanghai, Shenzhen, and Hong Kong stock exchanges,” Journal of Financial and Economic Practice, vol. 12, no. 1, pp. 34-57, 2012.

M. E. Cekirdekci, and V. Iliev, “Trading System Development: Trading the Opening Range Breakouts,” Degree of Bachelor of Science, Worcester Polytechnic Institute (WPI), 2010.

Published
2016-10-01
How to Cite
[1]
Y.-P. Lee, “Innovation Management of Stock Trading System”, AITI, vol. 1, no. 2, pp. 33-37, Oct. 2016.
Section
Articles