2015
DOI: 10.1111/jofi.12207
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The Value of Control and the Costs of Illiquidity

Abstract: We develop a search model of block trades that values the illiquidity of controlling stakes. The model considers several dimensions of illiquidity. First, following a liquidity shock, the controlling blockholder is forced to sell, possibly to a less efficient acquirer. Second, this sale may occur at a fire sale price. Third, absent a liquidity shock, a trade occurs only if a potential buyer arrives. Using a structural estimation approach and U.S. data on trades of controlling blocks of public corporations, we … Show more

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Cited by 44 publications
(5 citation statements)
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“…The editor regrets an error in the Albuquerque and Schroth article () in the August 2015 issue. On page 1410, in the fifth sentence of the second paragraph it should read “This strong association captures the fact that most trades are concentrated in two regions of the scatter plot, with 74% of the trades with positive CAR exhibiting a positive BP and 75% of the trades with a negative CAR exhibiting a negative BP .”…”
mentioning
confidence: 99%
“…The editor regrets an error in the Albuquerque and Schroth article () in the August 2015 issue. On page 1410, in the fifth sentence of the second paragraph it should read “This strong association captures the fact that most trades are concentrated in two regions of the scatter plot, with 74% of the trades with positive CAR exhibiting a positive BP and 75% of the trades with a negative CAR exhibiting a negative BP .”…”
mentioning
confidence: 99%
“…The variables controlled according to a summary of the literature by Madhavan (2000) are as follows: Closely held , Institution held , Volatility , Firm size , Listing years , NYSE , NASDAQ , and AMEX . To capture the effect of stockholder structures on liquidity (Albuquerque & Schroth, 2015; Brockman et al, 2009), italicClosely heldi,t and italicInsitution heldi,t are controlled and measured by the proportion of shares that are closely held and of shares that are held by institutions, respectively. To control the riskiness of the security, italicVolatilityi,t is measured by the standard deviation of annual stock returns.…”
Section: Methodsmentioning
confidence: 99%
“…It is well documented (Brunnermeier & Pedersen, 2008;Jiao & Sarkissian, 2021) that illiquidity risk in security indexes is sometimes a global issue in which traders face greater security discounts or fire sales. These illiquidity discounts may be as high as 20% (Albuquerque & Schroth, 2015). Several authors also contend that illiquidity risk results from liquidity mismatch between buyers and sellers in financial markets (Sarr & Lybek, 2002;Keating et al, 2016;Marozva, 2017).…”
Section: Introductionmentioning
confidence: 99%