Publication:
Essays on Information and Capital Markets

dc.contributor.advisor Moshirian, Fariborz en_US
dc.contributor.advisor Chuprinin, Oleg en_US
dc.contributor.advisor Zhang, Bohui en_US
dc.contributor.author Wang, Hang en_US
dc.date.accessioned 2022-03-15T08:42:53Z
dc.date.available 2022-03-15T08:42:53Z
dc.date.issued 2021 en_US
dc.description.abstract This thesis examines the role of public information on equity prices. In the first study, we add new evidence that news increases investor disagreement. First, we find that stock prices are convex in relation to news, confirming that prices on news days reflect the risk compensation of opinion divergence. Second, using unexplained trading volume as a proxy for investor disagreement, we find that investor disagreement is positively priced in the cross-section, confirming that news increases investor disagreement. Finally, we distinguish empirically between two competing channels regarding how trading volume gets incorporated into asset prices when trading volume is a proxy for disagreement. We find that news-day unexplained trading volume is associated with high liquidity and low average bias, which reduces the effect of optimistic views. In the second study, motivated by the existing evidence that investors misreaction to news generates skewness and creates mispricing, we draw novel evidence that investors inability to interpret news correctly contributes to the pricing of skewness. Specifically, we find that only the skewness extracted from observed corporate news-day returns is negatively priced. This effect is particularly pronounced for stocks with greater asymmetric responses to good and bad news, and investors lottery preferences do not explain these results. Collectively, our findings suggest that accounting for endogeneity in skewness rather than treating skewness as an exogenous characteristic (lottery feature) of the return distribution is critical for understanding the negative relationship between skewness and future returns. In the final study, we examine the effect of Mercury Retrograde on stock market returns. Focusing on market indexes in 48 countries, we find that the average market returns in Mercury Retrograde periods are about 3.22% annually lower than those in other periods. This effect comes from a belief channel: investors who hold an astrological belief that Mercury Retrograde can destroy their decision-making will stay away from the market. This belief results in a higher risk premium required by remaining investors in sharing more risk. We further confirm that this belief channel concerns belief in ancient Greek culture, highlighting the importance of ancient culture in equity prices. Collectively, our findings suggest that investors may deem some ancient cultures important and behave accordingly. en_US
dc.identifier.uri http://hdl.handle.net/1959.4/70794
dc.language English
dc.language.iso EN en_US
dc.publisher UNSW, Sydney en_US
dc.rights CC BY-NC-ND 3.0 en_US
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/3.0/au/ en_US
dc.subject.other Capital Markets en_US
dc.subject.other Financial Information en_US
dc.subject.other Asset Prices en_US
dc.title Essays on Information and Capital Markets en_US
dc.type Thesis en_US
dcterms.accessRights open access
dcterms.rightsHolder Wang, Hang
dspace.entity.type Publication en_US
unsw.accessRights.uri https://purl.org/coar/access_right/c_abf2
unsw.date.embargo 2023-05-03 en_US
unsw.description.embargoNote Embargoed until 2023-05-03
unsw.identifier.doi https://doi.org/10.26190/unsworks/2259
unsw.relation.faculty Business
unsw.relation.originalPublicationAffiliation Wang, Hang, Banking & Finance, Australian School of Business, UNSW en_US
unsw.relation.originalPublicationAffiliation Moshirian, Fariborz, Banking & Finance, UNSW Business School , UNSW en_US
unsw.relation.originalPublicationAffiliation Chuprinin, Oleg, Banking & Finance, UNSW Business School , UNSW en_US
unsw.relation.originalPublicationAffiliation Zhang, Bohui, CUHK, Shenzhen en_US
unsw.relation.school School of Banking & Finance *
unsw.thesis.degreetype PhD Doctorate en_US
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