dc.contributor.author
Kremer, Stephanie
dc.date.accessioned
2018-06-08T08:16:29Z
dc.date.available
2010-10-19T09:59:42.332Z
dc.identifier.isbn
978-3-941240-35-3
dc.identifier.uri
https://refubium.fu-berlin.de/handle/fub188/19712
dc.identifier.uri
http://dx.doi.org/10.17169/FUDOCS_document_000000006775
dc.description.abstract
This paper sheds new light on herding of institutional investors by using a
unique database that identifies every transaction made by financial
institutions in the German stock market. First, the analysis reveals that
herding behavior of insti- tutions occurs daily. Second, replication of the
analysis with low-frequency and anonymous transaction data indicates that
previous studies overestimate herding. Third, our results suggest that herding
by large financial institutions mainly re- sults from shared preference and
investment styles. Fourth, a panel analysis shows that herding on the sell
side in stocks is positively related to past returns and past volatility,
whereas herding on the buy side is negatively related to these variables.
Hence, large financial institutions do not demonstrate positive feedback
strategies.
de
dc.relation.ispartofseries
urn:nbn:de:kobv:188-fudocsseries000000000314-2
dc.relation.ispartofseries
urn:nbn:de:kobv:188-fudocsseries000000000006-7
dc.rights.uri
http://www.fu-berlin.de/sites/refubium/rechtliches/Nutzungsbedingungen
dc.subject
Investor Behavior
dc.subject
Institutional Trading
dc.subject.ddc
300 Sozialwissenschaften::330 Wirtschaft::337 Weltwirtschaft
dc.title
Herding of institutional traders
dc.title.subtitle
new evidence from daily data
refubium.affiliation
Wirtschaftswissenschaft
de
refubium.affiliation.other
Volkswirtschaftslehre / Institut für Statistik und Ökonometrie

refubium.mycore.fudocsId
FUDOCS_document_000000006775
refubium.series.issueNumber
2010,23 : Economics
refubium.series.name
Diskussionsbeiträge des Fachbereichs Wirtschaftswissenschaft der Freien Universität Berlin
refubium.mycore.derivateId
FUDOCS_derivate_000000001263
dcterms.accessRights.openaire
open access