2014
DOI: 10.1080/09638180.2014.990477
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The Effect of Board Independence on Information Asymmetry

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Cited by 63 publications
(53 citation statements)
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“…In particular, stocks of larger and more profitable firms and stocks with larger trading volumes and lower return volatility suffer lower adverse selection problems and are more liquid (e.g. Easley et al, 1996;Stoll, 2000;Goh, Lee, Ng, & Yong, 2016). This is consistent with the widely known argument that larger and more profitable firms, and firms whose stocks are more frequently traded, have richer information environment as a consequence of their higher levels of information production and publicly available information.…”
Section: Regression Modelsupporting
confidence: 81%
“…In particular, stocks of larger and more profitable firms and stocks with larger trading volumes and lower return volatility suffer lower adverse selection problems and are more liquid (e.g. Easley et al, 1996;Stoll, 2000;Goh, Lee, Ng, & Yong, 2016). This is consistent with the widely known argument that larger and more profitable firms, and firms whose stocks are more frequently traded, have richer information environment as a consequence of their higher levels of information production and publicly available information.…”
Section: Regression Modelsupporting
confidence: 81%
“…Only board members listed as “independent” by RiskMetrics are identified as independent, and all other designations are considered not independent for purposes of this study. This definition is consistent with the application of board independence in prior literature (Armstrong, Core, & Guay, ; Byard et al, ; Cai et al, ; Goh et al, ; Lehn et al, ; Linck et al, ). Armstrong et al () explains that directors may be classified as insiders, outsiders, or affiliates, also referred to as “gray” directors.…”
Section: Methodssupporting
confidence: 87%
“…Several researchers have examined the relationship between the characteristics of members of boards of directors and information asymmetry. In previous studies, proxies for information asymmetry represent information shared externally with the market and analysts, for example, bid‐ask spread (Fehle, ; Goh, Lee, Ng, & Ow Yong, ; Kanagaretnam, Lobo, & Whalen, ; Linck et al, ), analyst following (Goh et al, ; Shiah‐Hou, ), and forecast error (Byard et al, ; Goh et al, ). Linck et al () set a combined proxy with bid‐ask spread, R&D costs and market‐to‐book ratio to determine that higher volatility results in less independent boards.…”
Section: Related Literature and Hypothesesmentioning
confidence: 99%
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