Strength of words: Donald Trump's tweets, sanctions and Russia's ruble
dc.contributor | Aalto-yliopisto | fi |
dc.contributor | Aalto University | en |
dc.contributor.author | Afanasyev, Dmitriy O. | en_US |
dc.contributor.author | Fedorova, Elena | en_US |
dc.contributor.author | Ledyaeva, Svetlana | en_US |
dc.contributor.department | Department of Economics | en |
dc.contributor.organization | JSC Greenatom | en_US |
dc.contributor.organization | Financial University Under the Government of Russian Federation | en_US |
dc.date.accessioned | 2021-03-22T07:07:20Z | |
dc.date.available | 2021-03-22T07:07:20Z | |
dc.date.issued | 2021-04 | en_US |
dc.description.abstract | We empirically test if the US President Donald Trump's rhetoric towards Russia (represented by his Russia-related tweets) affects ruble's exchange rate. Using three-stepped empirical framework, we find that escalation of negative sentiment of Trump's Russia-related tweets leads to ruble's depreciation (4–10%) in short-term periods (around 3 days). Though these episodes tend to coincide with imposition or announcement of US sanctions, we demonstrate that US sanctions that were not accompanied by negative tweets of Donald Trump, have not caused ruble's depreciation. This highlights the role of emotional factors in economic decision-making behavior. | en |
dc.description.version | Peer reviewed | en |
dc.format.extent | 25 | |
dc.format.mimetype | application/pdf | en_US |
dc.identifier.citation | Afanasyev, D O, Fedorova, E & Ledyaeva, S 2021, 'Strength of words : Donald Trump's tweets, sanctions and Russia's ruble', Journal of Economic Behavior and Organization, vol. 184, pp. 253-277. https://doi.org/10.1016/j.jebo.2021.02.002 | en |
dc.identifier.doi | 10.1016/j.jebo.2021.02.002 | en_US |
dc.identifier.issn | 0167-2681 | |
dc.identifier.issn | 1879-1751 | |
dc.identifier.other | PURE UUID: 501f69f4-232e-4777-bbb1-bad1901b1fb2 | en_US |
dc.identifier.other | PURE ITEMURL: https://research.aalto.fi/en/publications/501f69f4-232e-4777-bbb1-bad1901b1fb2 | en_US |
dc.identifier.other | PURE LINK: http://www.scopus.com/inward/record.url?scp=85100960548&partnerID=8YFLogxK | |
dc.identifier.other | PURE FILEURL: https://research.aalto.fi/files/56853788/1_s2.0_S0167268121000573_main.pdf | en_US |
dc.identifier.uri | https://aaltodoc.aalto.fi/handle/123456789/103194 | |
dc.identifier.urn | URN:NBN:fi:aalto-202103222472 | |
dc.language.iso | en | en |
dc.publisher | Elsevier | |
dc.relation.ispartofseries | Journal of Economic Behavior and Organization | en |
dc.relation.ispartofseries | Volume 184, pp. 253-277 | en |
dc.rights | openAccess | en |
dc.subject.keyword | ARMAX-GARCH | en_US |
dc.subject.keyword | Donald Trump | en_US |
dc.subject.keyword | elastic net | en_US |
dc.subject.keyword | Exchange rate | en_US |
dc.subject.keyword | Markov regime-switching model | en_US |
dc.subject.keyword | Russian ruble | en_US |
dc.subject.keyword | sentiment analysis | en_US |
dc.subject.keyword | social media | en_US |
dc.subject.keyword | en_US | |
dc.title | Strength of words: Donald Trump's tweets, sanctions and Russia's ruble | en |
dc.type | A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä | fi |
dc.type.version | publishedVersion |