follows a hands‐on approach). We also introduce a real estatedummy for deals in this sector, since the private equity fundssponsoring real estate LBOs usually are completely differentfrom the private equity funds sponsoring the other LBOs.We also introduce some variables to capture whether thedeals are expected to be more difficult, and the companymay require a larger effort to turn it around. <strong>The</strong> first is adummy variable that takes value 1 if there was a change<strong>of</strong> CEO from before to after the LBO. As already argued inthe univariate analysis, one may expect that in such casesthere is a larger job to be done, since the managementin the period before the LBO did not seem satisfactory.Moreover, if there is already a trustworthy and experiencedmanagement in place, the private equity firm may need tobe involved less. <strong>The</strong> second variable is whether the dealwas exited or not. <strong>The</strong> idea is that ex post the exited dealsmay be the ones that were already expected to be easier(at the time <strong>of</strong> the LBO), and therefore less involvementwas necessary. Finally, we consider the percentage <strong>of</strong>outsiders on the board before the LBOs. <strong>The</strong> literature onboards has <strong>of</strong>ten stressed that the number <strong>of</strong> outsiders onboards should increase for firms where monitoring is morenecessary. <strong>The</strong>refore, such percentage could capture firmswhere the business is less easy to monitor.Looking at the results in Table 5, note first that the fact thatthe intercept is positive and significant confirms what wepreviously showed: on average, the board shrinks followingan LBO. <strong>The</strong> results are not very different whether we look atthe absolute or percentage change <strong>of</strong> the board size. Exiteddeals do not seem to have significantly different boards, butdeals where the CEO changed at the time <strong>of</strong> the LBO haveon average a smaller reduction in the board. This couldbe due to the need to put more LBO sponsors or outsiderson the board, as we will look at in Table 6. <strong>The</strong> proportion<strong>of</strong> outsiders sitting on the board before the LBO is notsignificant. In regression 2, we add an additional variable,which captures how many <strong>of</strong> these outsiders were CEOsthemselves (or had been CEOs), since one could argue theymay have a particular insight, and therefore their presenceon one company board could signal that this companyneeds special expertise for a monitoring or advisory role. <strong>The</strong>coefficient <strong>of</strong> this variable is significant but positive: thus itmeans that in companies that had a larger number <strong>of</strong> CEOsas outsiders when the company was public, the boardshrinks more once the company becomes private. Sincethese outsiders are more likely to be dropped when thecompany is taken private, one possible interpretation is thatthey are less effective than other outsiders. Finally, we seethat more experienced private equity firms reduce the size<strong>of</strong> the board more. 20 This may suggest that they need lesspeople on board to monitor the management, since theirrepresentatives are very experienced, or that they havedeveloped a better ability to streamline the process.In regression 4, we introduce the average size <strong>of</strong> the boardbefore the LBO, which has a positive and significantcoefficient. 21 In this regression the coefficient <strong>of</strong> firm sizealso becomes negative and significant. This means thatlarger boards tend to be reduced more than smaller boards,unless the large size <strong>of</strong> the board is due to the fact that thecompany is large: in this case, the reduction is less strong(in fact, notice that the coefficient <strong>of</strong> firm size is now negativeand significant). This implies that boards that are more likelyto have been inefficient – since they were very large evenwhen the company was not particularly large – are reducedmore drastically following an LBO.In Table 6 we focus on the composition <strong>of</strong> the board andwhat affects it. <strong>The</strong> explanatory variables are the same as inTable 5, while the dependent variables are: the percentage<strong>of</strong> LBO sponsors sitting on the board measured one yearafter the LBO, the average percentage <strong>of</strong> LBO sponsors fromthe LBO until exit (or 2007 if no exit has taken place), thepercentage <strong>of</strong> insiders and the percentage <strong>of</strong> outsiders.Regression 1 focuses on the proportion <strong>of</strong> LBO sponsors.Although it is not significant, the coefficient <strong>of</strong> firm size ispositive, suggesting that for larger deals, which may beexpected to be more complex, the private equity firm willput more <strong>of</strong> their people on the board. More importantly, thecoefficient <strong>of</strong> LBO sponsors is positive and very significant.This is likely to be because when there are many privateequity firms sponsoring the deal, each <strong>of</strong> them may want tohave a representative on the board. In Table 5, the coefficient<strong>of</strong> this variable was negative, suggesting that when there aremultiple sponsors backing the deal, the size <strong>of</strong> the boardwas reduced less (although the coefficient in that instancewas not significant). This would be consistent with the resultsin Table 6: each private equity firm backing a deal will tryto have some representatives sitting on the board, and thiswill result in slightly larger boards. 22 <strong>The</strong> coefficient <strong>of</strong> theCEO change is positive and significant: consistent with ourhypothesis, private equity firms tend to take more boardseats when the improvement <strong>of</strong> the business looks moredifficult, either because the firm is in bad condition (andthat is why the CEO was changed) or because they do nothave a good management team in place to rely upon. <strong>The</strong>coefficient <strong>of</strong> exited deals is negative and significant, which isconsistent with the same story. When the deal was expectedto be easier to exit, the private equity firm put less <strong>of</strong> theirpeople on board, but tried instead to sit on the boards <strong>of</strong>20For example, they may have been particularly busy if they were still CEOs. More research could be conducted about this result by looking in moredetail at the identity <strong>of</strong> these individuals.21Since there could be a collinearity problem <strong>of</strong> the average board size with the firm size (we know from the existing literature on public companiesthat larger companies have larger boards) we have also run regression 4 introducing, in addition to firm size, the squared firm size. <strong>The</strong> results donot change: the coefficient <strong>of</strong> average size <strong>of</strong> the board before the LBO does not change and the t‐stat decreases from 3.7 to 3.4.22An alternative explanation could be that larger deals are more likely to be syndicated (and thus to have multiple sponsors) and are also more difficultto supervise (and thus may require more LBO sponsors sitting on the board). However, we are controlling for firm size and therefore this is unlikelyto be the explanation.72 Large-sample studies: Corporate governance<strong>The</strong> <strong>Global</strong> <strong>Economic</strong> <strong>Impact</strong> <strong>of</strong> <strong>Private</strong> <strong>Equity</strong> <strong>Report</strong> <strong>2008</strong>
the most difficult cases. This story is about the costs andbenefits <strong>of</strong> the monitoring and advisory roles <strong>of</strong> the board. Itis always good to have one more experienced LBO sponsoron the board. However, these individuals are very busy (andcostly, since they could instead be used on another board)and therefore adding one more on the board is costly andit will be done only if the marginal benefit <strong>of</strong> having anadditional person is higher than the cost (which is likely tohappen in the more difficult deals). This is also consistentwith the fact that the proportion <strong>of</strong> outsiders sitting onthe board before the LBO has a positive and significantcoefficient. A large proportion <strong>of</strong> outsiders on the boardbefore the LBO could signal that the company is morecomplex to monitor. This could be because the type <strong>of</strong>business is more complex, or it is easier to extract benefitsfrom control. Boone, Casares Field, Karp<strong>of</strong>f et al (2007)find that measures <strong>of</strong> the scope and complexity <strong>of</strong> thefirm’s operations are positively related to the proportion<strong>of</strong> independent outsiders on the board. <strong>The</strong>refore, theproportion <strong>of</strong> outsiders sitting on the board before theLBO should indicate its complexity. If that is correct, onemay imagine that after the LBOs, the private equity firmswill have the same increase in the need to monitor andtherefore they will put more individuals on the board.Finally, if we look at the type <strong>of</strong> private equity sponsors,note that the 3i dummy has, as expected, a negative andsignificant coefficient: 3i is less likely to have a hands‐onapproach. <strong>The</strong> coefficient <strong>of</strong> bank‐affiliated sponsors isnegative (so they tend to sit less on the board) butnon‐significant. Surprisingly, experienced sponsors donot seem to behave any differently from less experiencedones. As an alternative criterion, in regression 2 we dropthe dummies for experienced and bank‐affiliated sponsorsand introduce instead the dummy for active sponsors. <strong>The</strong>coefficient <strong>of</strong> this dummy is positive and significant: theclaims by some private equity funds to be more hands‐onand actively involved seem to be confirmed in practice.<strong>The</strong> other results do not change. In regressions 3 and4 we run the same regression, but use as a dependentvariable the average size <strong>of</strong> the board over the yearsfollowing the LBO. In this way we correct for the possibilitythat the board following the LBO was still in a transitionphase. <strong>The</strong> results do not vary and are a little stronger.Note that in these four regressions the adjusted R‐squareis between 22% and 34%, thus these variables explain aconsiderable part <strong>of</strong> the variation.In regressions 5 and 6 we conduct the same analysis for theproportion <strong>of</strong> insiders. Not surprisingly, the results tend to bethe reverse <strong>of</strong> the ones in regressions 1 to 4 (since there isa certain degree <strong>of</strong> substitution between the number <strong>of</strong>board seats for the management and the one for the LBOsponsors). However, this was not necessarily true, since alarge number <strong>of</strong> LBO sponsors could imply a larger board,not necessarily a smaller proportion <strong>of</strong> insiders. 23 We find thatwhen there are more private equity funds sponsoring the dealthe proportion <strong>of</strong> insiders on the board is reduced. <strong>The</strong>reforethe request <strong>of</strong> the funds to have one <strong>of</strong> their representativessitting on the board comes at the expense <strong>of</strong> the number<strong>of</strong> the seats left to the management team, which is notnecessarily an efficient decision. Companies that had moreoutsiders sitting on the board prior to the LBO transactionwill have fewer insiders (possibly because there is a largerneed for monitoring). If the CEO were changed during thetransition from public to private the company has a smallerproportion <strong>of</strong> insiders afterwards. Note that this result isstronger than the one for the proportion <strong>of</strong> LBO sponsorson the board, suggesting that probably when the CEO waschanged, several other members <strong>of</strong> the management teamalso left and were never completely replaced in the board.Exited deals, which should be on average less challengingdeals, also have a smaller proportion <strong>of</strong> insiders.Finally, in regression 7 we look at the percentage <strong>of</strong> outsiders.Note that when running this regression in our outsiderscategory, we included all the people we could not identifywith certainty, as outsiders are usually the hardest to find inthe various datasets (or from various press coverages). Thisis probably adding noise to our measure <strong>of</strong> outsiders. Wefind only two variables which have a significant coefficient:the 3i dummy, and the dummy for a bank‐affiliated sponsor.This suggests that private equity firms that do not get directlyinvolved will rely more on very experienced outsiders tomonitor management and to advise them.4. Evolution <strong>of</strong> the board following an LBOIn this section we look at the evolution <strong>of</strong> the board after thecompany is taken private. In Figure 5, we look at how theaverage board size changes over time for LBOs, MBOsand other transactions. For all three cases, there is a largedecrease in size when the company is taken private.However, boards <strong>of</strong> companies that undergo MBOs andother transactions decrease in size much more than LBOboards. Moreover, immediately following the LBO, the boardsize seems to increase slightly, possibly with LBO sponsorsand outsiders (as will be shown in Figure 6). As the number<strong>of</strong> years after the LBO increases, the board size slightlydecreases. One may imagine that as the firm progressestowards its strategy implementation and the accomplishment<strong>of</strong> the restructuring, there will be less need <strong>of</strong> private equitysponsors’ involvement and the board might be shrinking insize. Beyond year 7 <strong>of</strong> the PE transaction, the board sizeincreases. However, when one looks at the board size inyear 7, all the firms exited in less than seven years are notthere anymore. <strong>The</strong> increase in board size in later years istherefore probably due to the fact that these are cases thatturned out to be particularly difficult and in which the privateequity firm had to become very involved, trying to solveparticularly difficult cases.23When discussing the evolution <strong>of</strong> the board after the LBO, we show in Figure 6 that over time the proportion <strong>of</strong> management is relatively constantover time, while the proportion <strong>of</strong> LBO sponsors changes more.<strong>The</strong> <strong>Global</strong> <strong>Economic</strong> <strong>Impact</strong> <strong>of</strong> <strong>Private</strong> <strong>Equity</strong> <strong>Report</strong> <strong>2008</strong> Large-sample studies: Corporate governance 73
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The Globalization of Alternative In
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ContributorsCo-editorsAnuradha Guru
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PrefaceKevin SteinbergChief Operati
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Letter on behalf of the Advisory Bo
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Executive summaryJosh lernerHarvard
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• Private equity-backed companies
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C. Indian casesThe two India cases,
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Part 1Large-sample studiesThe Globa
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The new demography of private equit
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among US publicly traded firms, it
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should be fairly complete. While th
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according to Moody’s (Hamilton et
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draining public markets of firms. I
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FIguresFigure 1A: LBO transactions
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TablesTable 1: Capital IQ 1980s cov
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Table 2: Magnitude and growth of LB
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Table 4: Exits of individual LBO tr
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Exhibit 1A: Summary of Hony Capital
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Exhibit 4: Members of the China Gla
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Exhibit 6A: China Glass post‐acqu
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Exhibit 8: China Glass stock price
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3i Group plc and Little Sheep*Lily
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y an aggressive franchise strategy,
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soul” of the business. But there
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Exhibit 1: Summary information on 3
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Exhibit 6: An excerpt from the 180-
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Indian private equity cases: introd
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ICICI Venture and Subhiksha *Lily F
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investment,” recalled Deshpande.
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2005 - 2007: Moderator, protector a
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Exhibit 3: Subhiksha’s board comp
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Warburg Pincus and Bharti Tele‐Ve
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founded two companies at this time
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By 2003 this restructuring task was
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Exhibit 1C: Private equity investme
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Exhibit 4B: Bharti cellular footpri
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Exhibit 6: Summary of Bharti’s fi
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Exhibit 7: Bharti’s board structu
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In the 1993‐94 academic year, he
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consumer products. She was also a R
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AcknowledgementsJosh LernerHarvard
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The World Economic Forum is an inde