{"title":"Paired Evaluators Method to Track Concept Drift: An Application for Hedge Funds Operations","authors":"Masabumi Furuhata, T. Mizuta, J. So","doi":"10.1109/ICDMW.2010.131","DOIUrl":null,"url":null,"abstract":"In order to deal with sudden unexpected changes of circumstances, we propose a new forecast method based on paired evaluators, the stable evaluator and the reactive evaluator. These two evaluators are good at detecting consecutive concept drifts. We conduct a back-testing using financial data in order to demonstrate the performance of our proposing forecast method. The results of the back-testing show that our method is effective and robust even against the late-2000s recessions.","PeriodicalId":170201,"journal":{"name":"2010 IEEE International Conference on Data Mining Workshops","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 IEEE International Conference on Data Mining Workshops","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDMW.2010.131","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
In order to deal with sudden unexpected changes of circumstances, we propose a new forecast method based on paired evaluators, the stable evaluator and the reactive evaluator. These two evaluators are good at detecting consecutive concept drifts. We conduct a back-testing using financial data in order to demonstrate the performance of our proposing forecast method. The results of the back-testing show that our method is effective and robust even against the late-2000s recessions.