Ernesto León-Castro, Ezequiel Avilés-Ochoa, J. M. Lindahl, A. M. G. Lafuente
{"title":"Heavy Moving Averages in exchange rate forecasting","authors":"Ernesto León-Castro, Ezequiel Avilés-Ochoa, J. M. Lindahl, A. M. G. Lafuente","doi":"10.1109/NAFIPS.2016.7851579","DOIUrl":null,"url":null,"abstract":"The paper presents the Heavy Ordered Weighted Moving Average (HOWMA) operator. It is a new aggregation operator that takes the advantage of the moving average to solve time series smoothing problems and the heavy OWA to provide more robust formulation and take into account the expectations of the future scenarios. It includes a wide range of particular cases such as the olympic moving aggregation and centered moving aggregation. The study also includes a new application to forecast the exchange rate USD/MXN combining econometric models and the HOWMA operator.","PeriodicalId":208265,"journal":{"name":"2016 Annual Conference of the North American Fuzzy Information Processing Society (NAFIPS)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 Annual Conference of the North American Fuzzy Information Processing Society (NAFIPS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NAFIPS.2016.7851579","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
The paper presents the Heavy Ordered Weighted Moving Average (HOWMA) operator. It is a new aggregation operator that takes the advantage of the moving average to solve time series smoothing problems and the heavy OWA to provide more robust formulation and take into account the expectations of the future scenarios. It includes a wide range of particular cases such as the olympic moving aggregation and centered moving aggregation. The study also includes a new application to forecast the exchange rate USD/MXN combining econometric models and the HOWMA operator.