dc.rights.license | Kūrybinių bendrijų licencija / Creative Commons licence | en_US |
dc.contributor.author | Gjika (Dhamo), Eralda | |
dc.contributor.author | Puka, Llukan | |
dc.contributor.author | Zaçaj, Oriana | |
dc.date.accessioned | 2024-05-10T13:04:00Z | |
dc.date.available | 2024-05-10T13:04:00Z | |
dc.date.issued | 2018 | |
dc.identifier.isbn | 9786094761195 | en_US |
dc.identifier.issn | 2029-4441 | en_US |
dc.identifier.uri | https://etalpykla.vilniustech.lt/handle/123456789/154207 | |
dc.description.abstract | In 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.extent | 7 p. | en_US |
dc.format.medium | Tekstas / Text | en_US |
dc.language.iso | en | en_US |
dc.relation.uri | https://etalpykla.vilniustech.lt/handle/123456789/154008 | en_US |
dc.rights | Attribution 4.0 International | * |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | * |
dc.source.uri | https://bm.vgtu.lt/index.php/verslas/2018/paper/view/472 | en_US |
dc.subject | CPI | en_US |
dc.subject | HICPs | en_US |
dc.subject | time series | en_US |
dc.subject | regression | en_US |
dc.subject | forecast | en_US |
dc.subject | R software | en_US |
dc.title | Forecasting consumer price index (CPI) using time series models and multi regression models (Albania case study) | en_US |
dc.type | Konferencijos publikacija / Conference paper | en_US |
dcterms.accessRights | Laisvai prieinamas / Openly available | en_US |
dcterms.accrualMethod | Rankinis pateikimas / Manual submission | en_US |
dcterms.alternative | Financial engineering | en_US |
dcterms.issued | 2018-05-04 | |
dcterms.license | CC BY | en_US |
dcterms.references | 28 | en_US |
dc.description.version | Taip / Yes | en_US |
dc.contributor.institution | University of Tirana | en_US |
dc.contributor.institution | Polytechnic University | en_US |
dcterms.sourcetitle | 10th International Scientific Conference “Business and Management 2018” | en_US |
dc.identifier.eisbn | 9786094761188 | en_US |
dc.identifier.eissn | 2029-929X | en_US |
dc.publisher.name | Vilnius Gediminas Technical University | en_US |
dc.publisher.name | Vilniaus Gedimino technikos universitetas | en_US |
dc.publisher.country | Lithuania | en_US |
dc.publisher.country | Lietuva | en_US |
dc.publisher.city | Vilnius | en_US |
dc.identifier.doi | https://doi.org/10.3846/bm.2018.51 | en_US |