Show simple item record

dc.rights.licenseKūrybinių bendrijų licencija / Creative Commons licenceen_US
dc.contributor.authorGjika (Dhamo), Eralda
dc.contributor.authorPuka, Llukan
dc.contributor.authorZaçaj, Oriana
dc.date.accessioned2024-05-10T13:04:00Z
dc.date.available2024-05-10T13:04:00Z
dc.date.issued2018
dc.identifier.isbn9786094761195en_US
dc.identifier.issn2029-4441en_US
dc.identifier.urihttps://etalpykla.vilniustech.lt/handle/123456789/154207
dc.description.abstractIn this work we analyse the CPI index as the official index to measure inflation in Albania, Harmonized Indices of Consumer Prices (HICPs) as the bases for comparative measurement of inflation in European countries and other financial indicators that may affect CPI. This study is an attempt to model CPI based on combination of multiple regression model with time series forecasting models. In the first approach, time series models were used directly on the CPI time series index to obtain the forecast. In the second approach, the time series models (SARIMA, ETS) were used to model and simulate forecast for each subcomponent with significant correlation to CPI and then use the multiple regression model to obtain CPI forecast. The projection of this indicator is important for understanding the country's economic and social development. This study helps researchers in the field of time series modeling, economic analysis and investments.en_US
dc.format.extent7 p.en_US
dc.format.mediumTekstas / Texten_US
dc.language.isoenen_US
dc.relation.urihttps://etalpykla.vilniustech.lt/handle/123456789/154008en_US
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.source.urihttps://bm.vgtu.lt/index.php/verslas/2018/paper/view/472en_US
dc.subjectCPIen_US
dc.subjectHICPsen_US
dc.subjecttime seriesen_US
dc.subjectregressionen_US
dc.subjectforecasten_US
dc.subjectR softwareen_US
dc.titleForecasting consumer price index (CPI) using time series models and multi regression models (Albania case study)en_US
dc.typeKonferencijos publikacija / Conference paperen_US
dcterms.accessRightsLaisvai prieinamas / Openly availableen_US
dcterms.accrualMethodRankinis pateikimas / Manual submissionen_US
dcterms.alternativeFinancial engineeringen_US
dcterms.issued2018-05-04
dcterms.licenseCC BYen_US
dcterms.references28en_US
dc.description.versionTaip / Yesen_US
dc.contributor.institutionUniversity of Tiranaen_US
dc.contributor.institutionPolytechnic Universityen_US
dcterms.sourcetitle10th International Scientific Conference “Business and Management 2018”en_US
dc.identifier.eisbn9786094761188en_US
dc.identifier.eissn2029-929Xen_US
dc.publisher.nameVilnius Gediminas Technical Universityen_US
dc.publisher.nameVilniaus Gedimino technikos universitetasen_US
dc.publisher.countryLithuaniaen_US
dc.publisher.countryLietuvaen_US
dc.publisher.cityVilniusen_US
dc.identifier.doihttps://doi.org/10.3846/bm.2018.51en_US


Files in this item

Thumbnail
Thumbnail

This item appears in the following Collection(s)

Show simple item record

Kūrybinių bendrijų licencija / Creative Commons licence
Except where otherwise noted, this item's license is described as Kūrybinių bendrijų licencija / Creative Commons licence