2017
DOI: 10.1016/j.irfa.2016.11.005
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Information content of analyst recommendations in the banking industry

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Cited by 21 publications
(15 citation statements)
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“…8 The improved firm disclosure policies can mitigate asymmetric information between firms and external financial markets (Greenstein & Sami, 1994;Healey et al, 1999;Leuz & Verrecchia, 2000;Mohd, 2005;Welker, 1995). 9 More recent studies show that the passage of SOX significantly reduces firms' opaqueness and results in analyst earnings forecasts that are more accurate and less dispersed (Akhigbe & Martin, 2006;Arping & Sautner, 2013;Premti et al, 2017).…”
Section: Literature Review and Hypotheses Developmentmentioning
confidence: 99%
“…8 The improved firm disclosure policies can mitigate asymmetric information between firms and external financial markets (Greenstein & Sami, 1994;Healey et al, 1999;Leuz & Verrecchia, 2000;Mohd, 2005;Welker, 1995). 9 More recent studies show that the passage of SOX significantly reduces firms' opaqueness and results in analyst earnings forecasts that are more accurate and less dispersed (Akhigbe & Martin, 2006;Arping & Sautner, 2013;Premti et al, 2017).…”
Section: Literature Review and Hypotheses Developmentmentioning
confidence: 99%
“…This argument would suggest a greater contagion effect for rivals with greater analyst following. Similar to Premti, Garcia-Feijoo, and Madura (2017) and Premti, Garcia-Feijoo, and Madura (2018), AnalystFollowing is calculated as the number of analysts that have issued a recommendation for the rival bank in the same calendar year.…”
Section: Impact Of Other Rival Analyst and Time Period Characteristmentioning
confidence: 99%
“…Similar to Cliff (2007), we classify as positive recommendations that are either a Buy or a Strong Buy, and as negative recommendations that are either a Sell or a Strong Sell. To ensure the robustness of our results, we follow Premti, Garcia-Feijoo, and Madura (2017) and also use a stricter classification method in which we classify as positive the recommendations that are an upgrade to Buy or an upgrade to Strong Buy recommendation, and as negative the recommendations that are a downgrade to a Sell or a downgrade to a Strong Sell recommendation. Table 4 displays the results of the multivariate regression model applied to the subsample that contains recommendations that are a Buy, a Strong Buy, a Sell, or a Strong Sell.…”
Section: Recchangementioning
confidence: 99%
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“…As regards the banking sector, the results of a study by Devos (2014) indicate that analysts who issue recommendations for investment banks are relatively optimistic regarding the prospects of subject banks to which they are related through syndication. An extensive study by Premti et al (2017), based on a sample of over 23 thousand analyst recommendations of 1,106 banks, demonstrates that both positive and negative analyst recommendations tend to be more informative for banks that are riskier and subject to a higher degree of information asymmetry. The usefulness of recommendations in the banking sector appears to increase when the information environment becomes more uncertain.…”
Section: The Literature Reviewmentioning
confidence: 99%