Show simple item record

Individual and Institutional Investor Behavior.

dc.contributor.authorStoffman, Noah S.en_US
dc.date.accessioned2008-08-25T20:57:38Z
dc.date.availableNO_RESTRICTIONen_US
dc.date.available2008-08-25T20:57:38Z
dc.date.issued2008en_US
dc.date.submitteden_US
dc.identifier.urihttps://hdl.handle.net/2027.42/60865
dc.description.abstractThe first chapter analyzes both the disposition effect and trading performance at the individual level to determine whether and how investors learn from their trading experience. The study finds that performance improves and the disposition effect declines as investors become more experienced, suggesting that investors learn by trading. A substantial part of this learning occurs when investors stop trading after learning about their poor ability rather than staying in the sample and improving their ability over time. By ignoring investor attrition, the existing literature significantly overestimates how quickly investors become better at trading. The learning estimates suggest that investors do not learn fast enough to prevent behavioral biases from affecting asset prices. The second chapter examines the relation between price changes and the interaction of individual investors and financial institutions. I find significant support for the hypotheses that prices respond to the trading of financial institutions and that individual investors supply liquidity to meet the trading needs of institutions. In addition, when individuals trade with each other and prices move, institutions respond by trading to push prices toward previous levels. Taken together, the results indicate that institutional investors set prices. In the third chapter, I develop a method for classifying individual investor trades as "informed" or "uninformed." The method relies on a simple economic argument, and the classification is necessarily coarse. Nevertheless, in two large datasets of individual investor trading from the United States and Finland, trades classified as informed earn much better returns than trades classified as uninformed. Informed trades have permanent price impact while uninformed trades do not. The results show that some individual investors are able to trade on private information, contradicting earlier papers that argue that individual investors consistently make poor decisions.en_US
dc.format.extent4859992 bytes
dc.format.extent1373 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_USen_US
dc.subjectIndividual Investorsen_US
dc.subjectInstitutional Investorsen_US
dc.subjectLiquidity Provisionen_US
dc.subjectPrice Impacten_US
dc.titleIndividual and Institutional Investor Behavior.en_US
dc.typeThesisen_US
dc.description.thesisdegreenamePhDen_US
dc.description.thesisdegreedisciplineBusiness Administrationen_US
dc.description.thesisdegreegrantorUniversity of Michigan, Horace H. Rackham School of Graduate Studiesen_US
dc.contributor.committeememberShumway, Tyler G.en_US
dc.contributor.committeememberKimball, Miles S.en_US
dc.contributor.committeememberLi, Fengen_US
dc.contributor.committeememberRajan, Udayen_US
dc.contributor.committeememberYuan, Kathy Z.en_US
dc.subject.hlbsecondlevelEconomicsen_US
dc.subject.hlbtoplevelBusinessen_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/60865/1/stoffman_1.pdf
dc.owningcollnameDissertations and Theses (Ph.D. and Master's)


Files in this item

Show simple item record

Remediation of Harmful Language

The University of Michigan Library aims to describe library materials in a way that respects the people and communities who create, use, and are represented in our collections. Report harmful or offensive language in catalog records, finding aids, or elsewhere in our collections anonymously through our metadata feedback form. More information at Remediation of Harmful Language.

Accessibility

If you are unable to use this file in its current format, please select the Contact Us link and we can modify it to make it more accessible to you.