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dc.contributor.authorLopez Lira Y Ramirez, Jose Alejandro
dc.date.accessioned2023-01-23T09:43:08Z
dc.date.available2023-01-23T09:43:08Z
dc.date.created2021-06-17T15:03:38Z
dc.date.issued2021
dc.identifier.citationEconomics Letters. 2021, 204 .
dc.identifier.issn0165-1765
dc.identifier.urihttps://hdl.handle.net/11250/3045203
dc.description.abstractI provide an economic model that justifies using bag-of-words, topic modeling, and machine learning techniques to measure firms’ risk exposures using the percentage they allocate to each risk in their financial statements. The model provides a theoretical set of sufficient conditions under minimal assumptions that make managers optimally disclose risk accurately and give more space to the most critical risks. I document that the SEC Regulation satisfies this set of sufficient theoretical conditions and induces rational managers to disclose risks truthfully.
dc.language.isoeng
dc.titleWhy do managers disclose risks accurately? Textual analysis, disclosures, and risk exposures
dc.typePeer reviewed
dc.typeJournal article
dc.description.versionpublishedVersion
dc.source.pagenumber3
dc.source.volume204
dc.source.journalEconomics Letters
dc.identifier.doi10.1016/j.econlet.2021.109896
dc.identifier.cristin1916476
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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