2016
DOI: 10.1093/rfs/hhw070
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The Role of Proxy Advisory Firms: Evidence from a Regression-Discontinuity Design

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Cited by 239 publications
(80 citation statements)
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References 34 publications
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“…Proxy Advisors. Institutional investors commonly employ the services of one or more proxy advisors, such as ISS and Glass Lewis, which analyze voting choices faced by investors in public corporations and make recommendations (Malenko and Shen 2016). Critics of proxy advisors would prefer that institutional investors reduce their reliance on the analysis and recommendations provided by proxy advisors (Clark and Van Buren 2013).…”
Section: Discussionmentioning
confidence: 99%
“…Proxy Advisors. Institutional investors commonly employ the services of one or more proxy advisors, such as ISS and Glass Lewis, which analyze voting choices faced by investors in public corporations and make recommendations (Malenko and Shen 2016). Critics of proxy advisors would prefer that institutional investors reduce their reliance on the analysis and recommendations provided by proxy advisors (Clark and Van Buren 2013).…”
Section: Discussionmentioning
confidence: 99%
“…Before 2012, ISS used to only undertake a deeper analysis of compensation policies for …rms with 1-and 3-year total shareholder returns below the industry median. Malenko and Shen (2016) exploit this rule for a regression discontinuity analysis: Falling narrowly below this cuto¤ led to greater scrutiny and a 15% increase (from 10% to 25%) in the probability of a negative ISS recommendation. The negative recommendation in turn led to a 25% reduction in say-onpay voting support.…”
Section: Proxy Advisory Firmsmentioning
confidence: 99%
“…As defined in Section 4, a potentially biased recommendation occurs when ISS issues a "For" ("Against") recommendation for a management (shareholder) proposal, but the vote fails (passes). Restricting the sample to proposals that narrowly pass or fail can facilitate causal interpretation-within a narrow margin, proposals tend to pass or fail randomly (Cuñat, Gine, and Guadalupe, 2012;Malenko and Shen, 2016). The sample size for firms with proposals that narrowly pass (fail) is 148 (163).…”
Section: Bias In Recommendations and Real Effectsmentioning
confidence: 99%
“…The effect of ISS's recommendations has been estimated between 13-30%, depending on the type of proposal (e.g., Bethel and Gillan, 2002;Cai, Garner, and Walkling, 2009;Iliev and Lowry, 2015;Malenko and Shen, 2016). To my knowledge, only a few papers have studied the effects of Glass Lewis's recommendations, in addition to ISS's.…”
mentioning
confidence: 99%