Mood and analyst optimism and accuracy
dc.contributor.author | Chang Y | |
dc.contributor.author | Hsu W | |
dc.coverage.spatial | Sydney, Australia | |
dc.description.abstract | We find that analyst forecasts are more optimistic and have larger errors near holidays, but more pessimistic and have smaller errors when there is a disaster with significant fatalities. These results are neither explained by sentiment associated with contemporaneous economic conditions, nor by under-reaction or over-reaction to more bad news released on days immediately before weekends or holidays. Overall, our results are consistent with the notion that when analysts are in a positive (negative) mood, they generally make more positively (negatively) biased and less (more) accurate forecasts. | |
dc.format.extent | Jan-62 | |
dc.identifier.citation | pp. 1 - 62 | |
dc.identifier.elements-id | 287268 | |
dc.identifier.harvested | Massey_Dark | |
dc.identifier.uri | https://hdl.handle.net/10179/10440 | |
dc.relation.uri | http://fma.org/Sydney/SydneyProgram.htm | |
dc.source | 2016 FMA Asia/Pacific Conference | |
dc.title | Mood and analyst optimism and accuracy | |
dc.type | conference | |
pubs.confidential | FALSE | |
pubs.finish-date | 15/07/2016 | |
pubs.notes | Not known | |
pubs.organisational-group | /Massey University | |
pubs.organisational-group | /Massey University/Massey Business School | |
pubs.organisational-group | /Massey University/Massey Business School/School of Economics and Finance | |
pubs.start-date | 13/07/2016 |
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