dc.contributor.author | Gasparėnienė, Ligita | |
dc.contributor.author | Remeikienė, Rita | |
dc.contributor.author | Sadeckas, Alius | |
dc.contributor.author | Ginevičius, Romualdas | |
dc.date.accessioned | 2023-09-18T17:28:45Z | |
dc.date.available | 2023-09-18T17:28:45Z | |
dc.date.issued | 2018 | |
dc.identifier.issn | 2071-789X | |
dc.identifier.uri | https://etalpykla.vilniustech.lt/handle/123456789/123634 | |
dc.description.abstract | During the World War I, most of the countries stopped coin production and began converting paper money into gold. Various forms of exchange were later abolished during the "Great Depression" in 1929-1933. Later, gold lost the value of money in most of the economies worldwide. Multiple price rise of gold caused a real rise in the value of gold reserves and their potential ability to cover the balance of payment deficit. At the same time, it shows that gold still plays an important role in terms of monetary aspect. The aim of this study was to determine whether ARIMA models are suitable for determining the short-term volatility of gold prices. The calculations show that ARIMA model is suitable only for short-term gold price forecasts (max. 1 year). Thus, it is necessary to apply other models (multi-regression ones) that also can reveal the relationship between gold price and its determinants. | eng |
dc.format | PDF | |
dc.format.extent | p. 248-264 | |
dc.format.medium | tekstas / txt | |
dc.language.iso | eng | |
dc.relation.isreferencedby | CAB Abstracts | |
dc.relation.isreferencedby | DOAJ | |
dc.relation.isreferencedby | EconLit | |
dc.relation.isreferencedby | Scopus | |
dc.relation.isreferencedby | Business Source Complete | |
dc.relation.isreferencedby | Emerging Sources Citation Index (Web of Science) | |
dc.source.uri | http://www.economics-sociology.eu/files/15_508_Gaspareniene%20et%20al.pdf | |
dc.title | The main gold price determinants and the forecast of gold price future trends | |
dc.type | Straipsnis Web of Science DB / Article in Web of Science DB | |
dcterms.references | 69 | |
dc.type.pubtype | S1 - Straipsnis Web of Science DB / Web of Science DB article | |
dc.contributor.institution | Lietuvos agrarinės ekonomikos institutas | |
dc.contributor.institution | JCC “Ekskomisarų biuras“ | |
dc.contributor.institution | Vilniaus Gedimino technikos universitetas | |
dc.contributor.faculty | Verslo vadybos fakultetas / Faculty of Business Management | |
dc.subject.researchfield | S 004 - Ekonomika / Economics | |
dc.subject.vgtuprioritizedfields | EV02 - Aukštos pridėtinės vertės ekonomika / High Value-Added Economy | |
dc.subject.ltspecializations | L103 - Įtrauki ir kūrybinga visuomenė / Inclusive and creative society | |
dc.subject.en | gold price | |
dc.subject.en | gold price variation | |
dc.subject.en | autoregressive model | |
dcterms.sourcetitle | Economics & sociology | |
dc.description.issue | no. 3 | |
dc.description.volume | vol. 11 | |
dc.publisher.name | Centre of Sociological Research | |
dc.publisher.city | Szczecin | |
dc.identifier.doi | 000445942400015 | |
dc.identifier.doi | 2-s2.0-85054475583 | |
dc.identifier.doi | 10.14254/2071-789X.2018/11-3/15 | |
dc.identifier.elaba | 31820031 | |