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Conference Paper: Noise Trading and Asset Pricing Factors

TitleNoise Trading and Asset Pricing Factors
Authors
Issue Date2020
Citation
55th Annual Conference of the Western Finance Association (WFA), Virtual conference, 19-22 June 2020  How to Cite?
AbstractWe demonstrate that a broad set of asset pricing factors (anomalies) are significantly exposed to “noise trader risk,” and the noise trader risk is priced in factor premia. Since mutual fund investors are ignorant of asset pricing factors, we confirm that mutual funds’ flow-induced trades of factors are uninformed as they have a large price impact on factor returns, followed by a complete reversal. We then show asset pricing factors are subject to noise trader risk in that expected variation and covariation of flow-induced noise trading strongly forecast variance and covariance of factor returns. Importantly, we find that factor premium is higher when the flow-driven noise trader risk is more salient.
DescriptionSession: Behavioral Asset Pricing
Persistent Identifierhttp://hdl.handle.net/10722/285000

 

DC FieldValueLanguage
dc.contributor.authorHuang, S-
dc.contributor.authorSong, Y-
dc.contributor.authorXiang, H-
dc.date.accessioned2020-08-07T09:05:26Z-
dc.date.available2020-08-07T09:05:26Z-
dc.date.issued2020-
dc.identifier.citation55th Annual Conference of the Western Finance Association (WFA), Virtual conference, 19-22 June 2020 -
dc.identifier.urihttp://hdl.handle.net/10722/285000-
dc.descriptionSession: Behavioral Asset Pricing-
dc.description.abstractWe demonstrate that a broad set of asset pricing factors (anomalies) are significantly exposed to “noise trader risk,” and the noise trader risk is priced in factor premia. Since mutual fund investors are ignorant of asset pricing factors, we confirm that mutual funds’ flow-induced trades of factors are uninformed as they have a large price impact on factor returns, followed by a complete reversal. We then show asset pricing factors are subject to noise trader risk in that expected variation and covariation of flow-induced noise trading strongly forecast variance and covariance of factor returns. Importantly, we find that factor premium is higher when the flow-driven noise trader risk is more salient. -
dc.languageeng-
dc.relation.ispartofWestern Finance Association (WFA) Virtual Conference-
dc.titleNoise Trading and Asset Pricing Factors-
dc.typeConference_Paper-
dc.identifier.emailHuang, S: huangsy@hku.hk-
dc.identifier.authorityHuang, S=rp02052-
dc.identifier.hkuros312019-
dc.publisher.placeUnited States-

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