{"title":"基于GM(1,1)方法的台湾股票价格预测","authors":"Yu-Lung Tsai, Huang Li, Kun-Yan Lee","doi":"10.30016/JGS.201206.0005","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":50187,"journal":{"name":"Journal of Grey System","volume":"31 1","pages":"95-102"},"PeriodicalIF":1.0000,"publicationDate":"2012-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"The Prices Prediction of Taiwan Stock via GM(1,1) Method\",\"authors\":\"Yu-Lung Tsai, Huang Li, Kun-Yan Lee\",\"doi\":\"10.30016/JGS.201206.0005\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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.\",\"PeriodicalId\":50187,\"journal\":{\"name\":\"Journal of Grey System\",\"volume\":\"31 1\",\"pages\":\"95-102\"},\"PeriodicalIF\":1.0000,\"publicationDate\":\"2012-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Grey System\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.30016/JGS.201206.0005\",\"RegionNum\":4,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"MATHEMATICS, INTERDISCIPLINARY APPLICATIONS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Grey System","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.30016/JGS.201206.0005","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"MATHEMATICS, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
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.
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.