Detecting Deceptive Discussions in Conference CallsDavid F. Larcker, Anastasia A. Zakolyukina2010-01-01preprintSSRN Electronic Journal168 citationsgreenNo readable copy stored yet — this record is metadata only.Auditing, Earnings Management, GovernanceFinancial Distress and Bankruptcy PredictionDeception detection and forensic psychologyAbstractNo abstract was published for this record.Citations in this libraryStored only when both papers are in the corpus — 168 citations exist upstream.References1993Common risk factors in the returns on stocks and bonds1997On Persistence in Mutual Fund Performance2008Estimating Standard Errors in Finance Panel Data Sets: Comparing Approaches1995Detecting Earnings Management.2011When Is a Liability Not a Liability? Textual Analysis, Dictionaries, and 10‐Ks2002The Quality of Accruals and Earnings: The Role of Accrual Estimation Errors2008Annual report readability, current earnings, and earnings persistence2006Estimating Standard Errors in Finance Panel Data Sets: Comparing ApproachesCited by2016Gathering Data for Archival, Field, Survey, and Experimental Accounting Research2015Do sophisticated investors interpret earnings conference call tone differently than investors at large? Evidence from short sales2016Hyperbole or Reality? Investor Response to Extreme Language in Earnings Conference Calls2010Who Believes the Hype? An Experimental Examination of How Language Affects Investor Judgments2019CEO Behavioral Integrity, Auditor Responses, and Firm Outcomes2018Management Deception, Big-Bath Accounting, and Information Asymmetry: Evidence from Linguistic Analysis2014Linguistic Traces of a Scientific Fraud: The Case of Diederik Stapel2018Do features that associate managers with a message magnify investors’ reactions to narrative disclosures?