Trading Decision of Taiwan Stocks with the Help of United States Stock Market

被引:0
|
作者
Huang, Shih-Chan [1 ]
Yang, Chang-Biau [1 ]
Chen, Hung-Hsin [1 ]
机构
[1] Natl Sun Yat Sen Univ, Dept Comp Sci & Engn, 70 Lienhai Rd, Kaohsiung 80424, Taiwan
关键词
stock investment; Taiwan stock; US stock indices; trading signal; gene expression programming; GENETIC ALGORITHMS; MODEL; ASSOCIATION; INVESTMENT; SELECTION;
D O I
10.1016/j.procs.2018.07.212
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The paper studies how to improve the trading decision of Taiwan stocks with the information of US stock market. Our method first aligns the trading days between Taiwan and US stock markets. Next, the similarity between the portfolio index (PI, constructed from 100 Taiwan stocks) and one of the US stock indices, the Dow Jones Industrial Average (DJIA), NASDAQ composite index (NASDAQ), or Standard & Poor's 500 (S&P 500), is computed, respectively. The trading signals of PI or each US stock index are generated by the method of Lee et al. Finally, the consensus signals of PI are determined by the majority vote scheme with the weighted functions, calculated from the similarity. The testing period of PI starts from 2000/1/4 to 2017/12/29, totally 4480 days. As the experimental results show, the index combination (PI, DJIA, NASDAQ) with the weighted function W(4) is considered to be the best combination for trading PI. Its average annualized return (cumulative return) achieves 15.03% (1170.42%), which is better than the method of Lee et al. 13.88% (947.65%), and the buy-and-hold strategy 9.85% (442.90%). (C) 2018 The Authors. Published by Elsevier Ltd.
引用
收藏
页码:87 / 96
页数:10
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