Expectile CAPM
dc.contributor.author | Hu, Wei | |
dc.contributor.author | Zheng, Z. | |
dc.date.accessioned | 2019-11-18T05:12:46Z | |
dc.date.available | 2019-11-18T05:12:46Z | |
dc.date.issued | 2019 | |
dc.identifier.citation | Hu, W. and Zheng, Z. 2019. Expectile CAPM. Economic Modelling. | |
dc.identifier.uri | http://hdl.handle.net/20.500.11937/76965 | |
dc.identifier.doi | 10.1016/j.econmod.2019.09.049 | |
dc.description.abstract |
© 2019 Elsevier B.V. Conventional wisdom suggests that the uncertainty of uninformed noise-traders’ sentiment deters rational traders’ arbitrage activities. However, nowadays, social media have made the public sentiment highly predictable, whereas the CAPM-motivated beta-return relation still does not hold in practice. This study advances an argument that the sentiment can also be brought about by rational, sophisticated investors’ use of psychological insight; resultantly, the arbitrage activities are demotivated by their own sentiment, rather than deterred by noise-traders’ sentiment risk. The proposed expectile CAPM provides a parsimonious way to account for this claim, and leads to a sentiment-based functional form of pricing kernel. | |
dc.title | Expectile CAPM | |
dc.type | Journal Article | |
dcterms.source.issn | 0264-9993 | |
dcterms.source.title | Economic Modelling | |
dc.date.updated | 2019-11-18T05:12:46Z | |
curtin.department | School of Economics, Finance and Property | |
curtin.accessStatus | Fulltext not available | |
curtin.faculty | Faculty of Business and Law | |
curtin.contributor.orcid | Hu, Wei [0000-0001-9798-6555] | |
curtin.contributor.scopusauthorid | Hu, Wei [56559082300] |