dc.contributor.author | Lopez Lira Y Ramirez, Jose Alejandro | |
dc.date.accessioned | 2023-01-23T09:43:08Z | |
dc.date.available | 2023-01-23T09:43:08Z | |
dc.date.created | 2021-06-17T15:03:38Z | |
dc.date.issued | 2021 | |
dc.identifier.citation | Economics Letters. 2021, 204 . | |
dc.identifier.issn | 0165-1765 | |
dc.identifier.uri | https://hdl.handle.net/11250/3045203 | |
dc.description.abstract | I 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.iso | eng | |
dc.title | Why do managers disclose risks accurately? Textual analysis, disclosures, and risk exposures | |
dc.type | Peer reviewed | |
dc.type | Journal article | |
dc.description.version | publishedVersion | |
dc.source.pagenumber | 3 | |
dc.source.volume | 204 | |
dc.source.journal | Economics Letters | |
dc.identifier.doi | 10.1016/j.econlet.2021.109896 | |
dc.identifier.cristin | 1916476 | |
cristin.ispublished | true | |
cristin.fulltext | original | |
cristin.qualitycode | 1 | |