The Role of Retail Investors in Earnings Calls
Friday 6 June 2025, 10:15am to 11:30am
Venue
MAN - Mngt School LT19 WPB002 - View MapOpen to
Postgraduates, StaffRegistration
Registration not required - just turn upEvent Details
Accounting and Finance, Accounting seminar presented by Professor Stanimir Markov, University of Texas at Dallas. Paper title: The Role of Retail Investors in Earnings Calls
Dr. Stanimir Markov – Endowed Chairs and Professorships (utdallas.edu)
Abstract
Retail investors participate in 3,364 earnings calls during the period between 2008 and 2022,
asking approximately 30% of the questions during those calls. Consistent with retail investors
serving as a substitute for analysts, retail questions concentrate among stocks with limited analyst
following, sharply increase following a plausibly exogeneous decline in analyst coverage and
analyst call participation, and cluster at the end of the call. More importantly, retail investors ask
questions whose sophistication and price impact are comparable to those of analysts. Retail
investors ask more impactful questions when earnings call slide decks are available, earnings call
disclosures are easier to read and retail investor-oriented research is more prevalent. We conclude
that retail investors play a valuable role in facilitating the flow of information during earnings calls
when sell-side analyst research is sparse.
Keywords: conference calls; retail investors; information acquisition; access to management;
equity analysts.
JEL Classifications: M41; G11; G14.
Speaker
Stanimir Markov
University of Texas
Dr. Stanimir Markov focuses his research on information intermediaries, corporate disclosure and capital markets. Before returning to UT Dallas in fall 2018, he taught for five years at Southern Methodist University, where he was the Marilyn and Leo F. Corrigan Research Professor and twice received the Edwin L. Cox School of Business Research Excellence Award. He previously taught at UT Dallas from 2007-2013. His classes focus on financial accounting and statement analysis. “My research explores
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