2017
DOI: 10.2139/ssrn.2579907
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The Effects of Conference Call Tones on Market Perceptions of Value Uncertainty

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Cited by 9 publications
(13 citation statements)
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“…The residual tone is calculated from a cross-sectional regression of tone on firms' current year performance and fundamentals. Following previous research (Borochin et al 2018;Huang et al 2014), our residual tone measurement (RE_TONE_C) is calculated as the residual term ( ) of the following regression: 11 11 In order to obtain the residual tone measure, we regress conference call tone (TONE) on the ratio of EBIT to beginning total assets (EARN), contemporaneous annual stock returns (RET), the natural logarithm of the market capitalization at the end of one fiscal year (SIZE), book-to-market ratio at the end of one fiscal year (BTM), the standard deviation of monthly stock return over one fiscal year (STD_RET), the standard deviation of EARN over the previous five years (STD_EARN), the natural logarithm of one plus age from the first year the firm entered the CRSP dataset (AGE), the natural logarithm of one plus the number of business segments (BUSSEG), the natural logarithm of one plus the number of geographic segments (GEOSEG), a dummy variable which equals 1 when EARN is negative (LOSS), the first difference of EARN (∆EARN), analyst forecast error (AFE), and analyst consensus forecast for one-year-ahead earnings per share divided by stock price per share at the end of the fiscal year (AF).…”
Section: Stock Price Crash Risk and Residual Tonementioning
confidence: 90%
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“…The residual tone is calculated from a cross-sectional regression of tone on firms' current year performance and fundamentals. Following previous research (Borochin et al 2018;Huang et al 2014), our residual tone measurement (RE_TONE_C) is calculated as the residual term ( ) of the following regression: 11 11 In order to obtain the residual tone measure, we regress conference call tone (TONE) on the ratio of EBIT to beginning total assets (EARN), contemporaneous annual stock returns (RET), the natural logarithm of the market capitalization at the end of one fiscal year (SIZE), book-to-market ratio at the end of one fiscal year (BTM), the standard deviation of monthly stock return over one fiscal year (STD_RET), the standard deviation of EARN over the previous five years (STD_EARN), the natural logarithm of one plus age from the first year the firm entered the CRSP dataset (AGE), the natural logarithm of one plus the number of business segments (BUSSEG), the natural logarithm of one plus the number of geographic segments (GEOSEG), a dummy variable which equals 1 when EARN is negative (LOSS), the first difference of EARN (∆EARN), analyst forecast error (AFE), and analyst consensus forecast for one-year-ahead earnings per share divided by stock price per share at the end of the fiscal year (AF).…”
Section: Stock Price Crash Risk and Residual Tonementioning
confidence: 90%
“…In this case, we would expect optimistic manager tone to have significant and negative predictive power and to drive the predictive power of the Q&A tone. On the other hand, participant tone may have greater predictive power, as previous research shows that analysts' participation and tone lead to stronger market reactions (Borochin et al 2018;Brockman et al 2015;Matsumoto et al 2011). Thus, optimistic participant tone may also have negative predictive power for stock price crash risk and may drive the predictive power of the Q&A tone.…”
Section: Different Call Sections and Participantsmentioning
confidence: 97%
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“…Die Kommunikation innerhalb von Conference Calls könnte außerdem einen Einfluss auf die Bewertungsunsicherheit des durchführenden Unternehmens haben. So finden Borochin et al (2018) einen negativen Zusammenhang zwischen der Grundstimmung eines Conference Calls und der Bewertungsunsicherheit des Unternehmens auf dem Markt für Eigenkapitalinstrumente.…”
Section: Rechnungslegungsqualität Und Unternehmensbewertungunclassified