| dc.contributor.advisor | Kearney, Colm | |
| dc.contributor.author | Liu, Sha | |
| dc.date.accessioned | 2017-01-19T15:52:18Z | |
| dc.date.available | 2017-01-19T15:52:18Z | |
| dc.date.issued | 2013 | |
| dc.identifier.citation | Sha Liu, 'Textual sentiment analysis in international financial markets', [thesis], Trinity College (Dublin, Ireland). Trinity Business School, 2013, pp 188 | |
| dc.identifier.other | THESIS 10250 | |
| dc.description.abstract | Textual sentiment refers to the degree of positivity or negativity in texts. Compared with investor sentiment, which has been extensively studied by behavioral finance researchers, textual sentiment includes the more objective reflection of conditions within firms, institutions and markets. This thesis extracts negative sentiment from news stories by using the dictionary-based approach (based on the Loughran and McDonald’s (2011) finance negative words), and studies its effects in both equity and debt markets. | |
| dc.format | 1 volume | |
| dc.language.iso | en | |
| dc.publisher | Trinity College (Dublin, Ireland). Trinity Business School | |
| dc.relation.isversionof | http://stella.catalogue.tcd.ie/iii/encore/record/C__Rb15647188 | |
| dc.subject | Business, Ph.D. | |
| dc.subject | Ph.D. Trinity College Dublin | |
| dc.title | Textual sentiment analysis in international financial markets | |
| dc.type | thesis | |
| dc.type.supercollection | thesis_dissertations | |
| dc.type.supercollection | refereed_publications | |
| dc.type.qualificationlevel | Doctoral | |
| dc.type.qualificationname | Doctor of Philosophy (Ph.D.) | |
| dc.rights.ecaccessrights | openAccess | |
| dc.format.extentpagination | pp 188 | |
| dc.description.note | TARA (Trinity’s Access to Research Archive) has a robust takedown policy. Please contact us if you have any concerns: rssadmin@tcd.ie | |
| dc.identifier.uri | http://hdl.handle.net/2262/79098 | |
