基于GM(1,1)方法的台湾股票价格预测

IF 1 4区 工程技术 Q4 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
Yu-Lung Tsai, Huang Li, Kun-Yan Lee
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引用次数: 1

摘要

股票投资已经成为大多数想通过投资银行积累财富的人的工具。然而,由于很难掌握股票价格的涨跌,投资者往往以亏损告终。如何利用有效合理的投资方式,在股市下跌时保障资金安全,卖出或暂时停买,就显得尤为重要。股票投资者的梦想是在股市上涨时持有或买入股票,在股市上赚的比亏的多。邓教授针对系统模型的不确定性和信息完整性提出了灰色系统理论,构建了关联分析和系统建模。运用预测和决策的方法对系统进行探索和理解。本研究将灰色系统理论应用于股票价格预测领域,主要应用于自动控制领域。通过使用前五周的收盘价,我们可以预测六周的收盘价。2011年的几只股票被用作模拟预测,我们发现平均误差在2%到7%之间。因此,利用灰色系统理论,可以为投资者建立新的股价预测模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Prices Prediction of Taiwan Stock via GM(1,1) Method
Stock investment has become the tool for the majority of people who want to accumulate wealth through investment banking. However, due to it is difficult to master the ups and downs of the stock prices, investors often end in loss. How to use an effective and reasonable investment approach to protect capital safety and sell or temporarily stop buying when the stock market declines has become more important. Stock investors dream of maintaining or buying the stocks when the stock market goes up, and earn more money than lose money in the stock market. Prof. Deng purposed the grey system theory, which constructs correlation analysis and system modeling to the uncertainty of the system model and information integrity. Also, the methods of forecasting and decision-making are used to explore and understand the system. Originally, it was used in the field of automatic control, but this paper applies the grey system theory, to stock price forecasting. By using the closing prices of the first five weeks, we can forecast six week's closing price. Several stocks in 2011 are used as simulation predictions, and we found that the average errors are between 2% to 7%. Hence, by using the grey system theory, the new stock price prediction model can be established for investors.
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来源期刊
Journal of Grey System
Journal of Grey System 数学-数学跨学科应用
CiteScore
2.40
自引率
43.80%
发文量
0
审稿时长
1.5 months
期刊介绍: The journal is a forum of the highest professional quality for both scientists and practitioners to exchange ideas and publish new discoveries on a vast array of topics and issues in grey system. It aims to bring forth anything from either innovative to known theories or practical applications in grey system. It provides everyone opportunities to present, criticize, and discuss their findings and ideas with others. A number of areas of particular interest (but not limited) are listed as follows: Grey mathematics- Generator of Grey Sequences- Grey Incidence Analysis Models- Grey Clustering Evaluation Models- Grey Prediction Models- Grey Decision Making Models- Grey Programming Models- Grey Input and Output Models- Grey Control- Grey Game- Practical Applications.
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