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dc.contributor.authorSingh, Manish
dc.contributor.authorRocafort, Roland
dc.contributor.authorCai, Cathy
dc.contributor.authorSiah, Kien Wei
dc.contributor.authorLo, Andrew W
dc.date.accessioned2022-09-20T12:41:15Z
dc.date.available2022-09-20T12:41:15Z
dc.date.issued2022
dc.identifier.urihttps://hdl.handle.net/1721.1/145513
dc.description.abstract<jats:p>We perform an event study analysis that quantifies the market reaction to clinical trial result announcements for 13,807 trials from 2000 to 2020, one of the largest event studies of clinical trials to date. We first determine the specific dates in the clinical trial process on which the greatest impact on the stock prices of their sponsor companies occur. We then analyze the relationship between the abnormal returns observed on these dates due to the clinical trial outcome and the properties of the trial, such as its phase, target accrual, design category, and disease and sponsor company type (biotechnology or pharmaceutical). We find that the classification of a company as “early biotechnology” or “big pharmaceutical” had the most impact on abnormal returns, followed by properties such as disease, outcome, the phase of the clinical trial, and target accrual. We also find that these properties and classifications by themselves were insufficient to explain the variation in excess returns observed due to clinical trial outcomes.</jats:p>en_US
dc.language.isoen
dc.publisherPublic Library of Science (PLoS)en_US
dc.relation.isversionof10.1371/journal.pone.0272851en_US
dc.rightsCreative Commons Attribution 4.0 International licenseen_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_US
dc.sourcePLoSen_US
dc.titleThe reaction of sponsor stock prices to clinical trial outcomes: An event study analysisen_US
dc.typeArticleen_US
dc.identifier.citationSingh, Manish, Rocafort, Roland, Cai, Cathy, Siah, Kien Wei and Lo, Andrew W. 2022. "The reaction of sponsor stock prices to clinical trial outcomes: An event study analysis." PLOS ONE, 17 (9).
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Scienceen_US
dc.contributor.departmentSloan School of Management. Laboratory for Financial Engineeringen_US
dc.contributor.departmentSloan School of Managementen_US
dc.contributor.departmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratoryen_US
dc.relation.journalPLOS ONEen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2022-09-20T12:22:49Z
dspace.orderedauthorsSingh, M; Rocafort, R; Cai, C; Siah, KW; Lo, AWen_US
dspace.date.submission2022-09-20T12:22:51Z
mit.journal.volume17en_US
mit.journal.issue9en_US
mit.licensePUBLISHER_CC
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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