{"title":"Development Trend Analysis and Prediction of Photovoltaic Building Integration Plate Index","authors":"Zhuoran Wang, Jiayuan Su, Dian-wei Wu","doi":"10.25236/AJAGE.2021.030107","DOIUrl":null,"url":null,"abstract":"The purpose of this paper is to analyze and forecast the future development of the whole industry and the trend of the index by studying the 37 stocks in Shanghai stock index and the photovoltaic construction integration plate index composed of the 37 stocks. Firstly, the traditional ARIMA model is used to predict the period from May 6 to May 28, 2021, and the predicted value is compared with the actual value. The error is analyzed by summing the absolute value of the subtraction between the predicted value and the actual value, and then the model is modified to obtain the step-by-step optimized ARIMA model.","PeriodicalId":221340,"journal":{"name":"Academic Journal of Business & Management","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Academic Journal of Business & Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.25236/AJAGE.2021.030107","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The purpose of this paper is to analyze and forecast the future development of the whole industry and the trend of the index by studying the 37 stocks in Shanghai stock index and the photovoltaic construction integration plate index composed of the 37 stocks. Firstly, the traditional ARIMA model is used to predict the period from May 6 to May 28, 2021, and the predicted value is compared with the actual value. The error is analyzed by summing the absolute value of the subtraction between the predicted value and the actual value, and then the model is modified to obtain the step-by-step optimized ARIMA model.