{"title":"灰色预测的演变及其在股票价格预测中的应用","authors":"Pei-Han Hsin, Chun-I Chen","doi":"10.4172/2168-9458.1000124","DOIUrl":null,"url":null,"abstract":"Since Grey theory proposed by Prof. Deng [1], it has been widely applied in many fields. The traditional grey forecasting model, which is termed GM (1, 1), starts from accumulation of raw data to form a simple monotonic series. Based on this new series, the coefficients of discretilization of first order ordinary differential equation (ODE) could be solved by least square method. Then, these coefficients could be substituted into the particular solution of ODE to serve as a predictor. The solution procedure could be found in textbook.","PeriodicalId":315937,"journal":{"name":"Journal of Stock & Forex Trading","volume":"42 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"The Evolution of Grey Forecasting and its Application on Stock Price Prediction\",\"authors\":\"Pei-Han Hsin, Chun-I Chen\",\"doi\":\"10.4172/2168-9458.1000124\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Since Grey theory proposed by Prof. Deng [1], it has been widely applied in many fields. The traditional grey forecasting model, which is termed GM (1, 1), starts from accumulation of raw data to form a simple monotonic series. Based on this new series, the coefficients of discretilization of first order ordinary differential equation (ODE) could be solved by least square method. Then, these coefficients could be substituted into the particular solution of ODE to serve as a predictor. The solution procedure could be found in textbook.\",\"PeriodicalId\":315937,\"journal\":{\"name\":\"Journal of Stock & Forex Trading\",\"volume\":\"42 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-11-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Stock & Forex Trading\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4172/2168-9458.1000124\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Stock & Forex Trading","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4172/2168-9458.1000124","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The Evolution of Grey Forecasting and its Application on Stock Price Prediction
Since Grey theory proposed by Prof. Deng [1], it has been widely applied in many fields. The traditional grey forecasting model, which is termed GM (1, 1), starts from accumulation of raw data to form a simple monotonic series. Based on this new series, the coefficients of discretilization of first order ordinary differential equation (ODE) could be solved by least square method. Then, these coefficients could be substituted into the particular solution of ODE to serve as a predictor. The solution procedure could be found in textbook.