2009
DOI: 10.1016/j.jeconbus.2009.06.004
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International evidence on the relative importance of the determinants of earnings forecast accuracy

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Cited by 21 publications
(23 citation statements)
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“…Using some regression techniques, the study has determined that while there was a positive and meaningful relationship between earnings accuracy and investment discipline in terms of short/long term investment sentiment, there was no meaningful relationship between earnings accuracy and volume of trades. The results of our survey are consistent with findings earlier reported in the literature (Coën et al, 2009;Fang, 2009;Payne, 2008;Rees & Sivaramakrishnan, 2007). The results of this survey suggest TSE officials to build a better rules and regulations, which could help many investors.…”
Section: Resultssupporting
confidence: 92%
See 1 more Smart Citation
“…Using some regression techniques, the study has determined that while there was a positive and meaningful relationship between earnings accuracy and investment discipline in terms of short/long term investment sentiment, there was no meaningful relationship between earnings accuracy and volume of trades. The results of our survey are consistent with findings earlier reported in the literature (Coën et al, 2009;Fang, 2009;Payne, 2008;Rees & Sivaramakrishnan, 2007). The results of this survey suggest TSE officials to build a better rules and regulations, which could help many investors.…”
Section: Resultssupporting
confidence: 92%
“…There are many studies in learning more about the effects of earnings quality on investors' decisions. Coën et al (2009) analyzed earnings forecasting errors made by financial analysts for 18 developed countries from 1990 to 2006. They applied the Heston-Rouwenhorst method to unravel country-, industry-, and firm-specific impacts as a source of variation in financial analysts' earnings forecast errors.…”
Section: Introductionmentioning
confidence: 99%
“…Therefore, in accordance with Duru and Reeb (2002), Herrmann et al (2008), Coen et al (2009) and Hovakimian and Saenyasiri (2010), analysts are more optimistic when firms are in trouble. As found by Saenyasiri (2010, 2014), the coefficient of M ON T H is significant and negative in all variants.…”
mentioning
confidence: 85%
“…Analysts are more prone to issuing optimistic forecasts about firms with negative earnings. Following Duru and Reeb (2002), Heflin et al (2003), Herrmann et al (2008), Coen et al (2009) and Hovakimian and Saenyasiri (2010), we construct two dummy variables. EP SN EGAT IV Ei, t equals 1 if the actual earnings of firm i at t are negative and 0 otherwise.…”
Section: Econometric Modelmentioning
confidence: 99%
“…Overall, these studies expects positive association between analyst forecast accuracy and analyst following. Loss and surprise are also included as control variable because previous studies find that type of earnings (profits or losses) and the variation of earnings (growth or fall or also termed as surprise) as two main determinants of forecast accuracy in the emerging market and developed countries (Coën, Desfleurs & L'Her 2009). Loss is dummy variable given as 1 if firm has a negative earnings and zero otherwise.…”
Section: Operationalization Of Variablesmentioning
confidence: 99%