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Abstract
Firms and third parties disclose a substantial amount of information during the earningsannouncement window. Managers can alleviate information processing costs for investors by
presenting this information using a variety of formats. Using machine learning, I identify the use
of data visualizations, tables, and text in earnings conference call slides. I examine the
association between the format of the earnings call presentation and capital market outcomes
(i.e., information asymmetry, market liquidity, retail investor processing costs, and retail trading
consensus). I find three main results. First, the use of data visualizations in earnings conference
calls is associated with decreases in information asymmetry and thus increases in market
liquidity. Second, data visualizations in earnings conference calls are associated with lower
investor processing costs, specifically for retail investors. Finally, I find no association between
retail trading consensus and disclosure format types. Overall my results suggest that managers’
choices of disclosure formats in earnings conference calls can improve information saliency to
reduce investors’ processing costs.