{"title":"Predicting short and long term financial trends","authors":"H. Guggenheimer","doi":"10.1109/AIAWS.1991.236573","DOIUrl":null,"url":null,"abstract":"For short term predictions of trends in financial statistical data, the author shows the connection between using back data and differentiability assumptions and uses the theory to present new trend extrapolation schemes. For long term prediction, Keynes's fundamental equations are formulated in a mathematically acceptable manner and its shown how to use these equations to model economic development.<<ETX>>","PeriodicalId":171318,"journal":{"name":"Proceedings First International Conference on Artificial Intelligence Applications on Wall Street","volume":"110 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1991-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings First International Conference on Artificial Intelligence Applications on Wall Street","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AIAWS.1991.236573","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
For short term predictions of trends in financial statistical data, the author shows the connection between using back data and differentiability assumptions and uses the theory to present new trend extrapolation schemes. For long term prediction, Keynes's fundamental equations are formulated in a mathematically acceptable manner and its shown how to use these equations to model economic development.<>