November 4, 2025
The first paper introduces a new RavenPack series about the disclosure quality of Earnings Calls Communication between management and analysts.
We find that firms exhibiting lower-quality interactions between management and analysts during Earnings Calls, measured by reduced readability scores for both groups, consistently underperform their peers.
Firms whose management provided harder-to-read responses relative to clearer analyst questions systematically exhibited weaker subsequent stock performance.
RavenPack's Q&A Linguistic Transparency Gap measures the relative disclosure opacity, defined as the difference in readability between management's answers and the preceding analyst questions.
A long-short, dollar-neutral factor-mimicking strategy based on the Q&A Linguistic Transparency Gap has generated since 2015 an average return spread of 440 basis points over a weekly effective holding period within the U.S. mid- and large-cap universe.
Firms that communicate relatively more clearly tend to be high-quality growth companies, with more disciplined capital expenditure and asset growth.
Portfolio statistics are based on returns in excess to the US mid-large cap market. The Effective Holding Period is the number of days required to completely rebalance the portfolios.
The signals are robust across quantile sorts, full cross-sections, and multiple time decays.
This research uses RavenPack Transcript Annotations, offering a deep level of granularity, and providing detailed metadata at the sentence level. Annotated sections and text blocks are fetched from the Q&A sections in Earnings Calls Transcripts, then consolidated with document-level analytics.
By measuring the linguistic gap between what analysts ask and how management responds, quants can uncover hidden signals in corporate communication.
In short: clear questions paired with opaque answers may signal underperformance, while transparency often points to high-quality, well-managed firms.
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