dc.creatorAdelheid Januaviani, Trisha Magdalena
dc.creatorEman Lesmana, Sukono,
dc.date2020-04-28
dc.date.accessioned2022-11-05T02:34:36Z
dc.date.available2022-11-05T02:34:36Z
dc.identifierhttps://produccioncientificaluz.org/index.php/opcion/article/view/31845
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/5141719
dc.descriptionThe study aims to investigate the modeling of money supply using LASSO regression with cross-validation. The money supply spent can be applied to multiple regression analysis because it has many influencing factors. Multiple linear regression analysis is a statistical technique to examine the relationship between independent variables and independent variables. As a result, the number of independent variables in the money supply asked is greater than multicollinearity. In conclusion, if net foreign assets consisting of bills and non-residents liabilities in Indonesia have increased by one billion, then the money supply in circulation in Indonesia will decrease by 0.6259048 and 1.451317.es-ES
dc.formatapplication/pdf
dc.languagespa
dc.publisherUniversidad del Zuliaes-ES
dc.relationhttps://produccioncientificaluz.org/index.php/opcion/article/view/31845/33094
dc.rightsDerechos de autor 2020 Opciónes-ES
dc.sourceOpción; Vol. 36 Núm. 91 (2020); 213-231es-ES
dc.source2477-9385
dc.source1012-1587
dc.subjectMoney Supplyes-ES
dc.subjectLASSOes-ES
dc.subjectLARSes-ES
dc.subjectCross-validationes-ES
dc.titleModeling of money supply using LASSO regression with Cross-Validationes-ES
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion
dc.typeArtículo revisado por pareses-ES


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