Title: WHAT IS DIFFERENT ABOUT GOVERNMENTCONTROLLED
1 WHAT IS DIFFERENT ABOUT GOVERNMENT-CONTROLLED
ACQUIRERS IN CROSS-BORDER ACQUISITIONS? G.
Andrew Karolyi (Cornell) and Rose C. Liao
(Rutgers)
2What is this paper about?
- We examine the motives for and consequences of
5,317 failed and completed cross-border
acquisitions constituting 619 billion of
activity over 1990-2008 involving
government-controlled acquirers - We benchmark the activity at the country level
and at the deal level by cross-border
acquisitions led by corporate acquirers - We seek answers to the following questions
- Are country factors that drive cross-border
acquisitions by government-controlled acquirers
different? - Are attributes of target firms of cross-border
acquisitions by government-controlled acquirers
different? - Are target firms market reactions to
announcements of cross-border deals by
government-controlled acquirers different?
3Cross-border activity of government acquirers
4Some Recent Noteworthy Deals
5Foreign Investment National Security Act of 2007
6Recent Legislative Actions in Other Countries
7Theoretical Motivation
- Large literature rationalizes how public
enterprises are inefficient with excess
employment wages and goods production closer to
needs of self-interested politicians
bureaucrats than consumers - Shleifer Vishny (1994) model of bargaining
between politicians and managers via subsidies
and bribes - Tirole (1994) dissonant objectives in internal
organization of government due to information
problems, incentive contracts - Atkinson Stiglitz (1980) maximizing social
welfare, curing market failures due to monopoly
power, negative externalities - Our contribution
- Target firms become at least partially
state-owned in cross-border deals are useful
setting to evaluate with natural benchmark - This benchmark confers experimental design
advantage to enhance power of our tests with
specific testable alternative hypotheses
8New Studies on Sovereign Wealth Funds (SWFs)
- We contribute to an emerging literature on SWF
investments (11 new working papers
and one book, including Kotter Lel, 2008
Fotak, Bertolotti, Megginson, Miracky
Fernandes Chhaochharia Laeven Dewenter, Han
Malatesta Knill, Lee Mauck Dyck Morse
Bernstein, Lerner Schoar, all 2009) - SWFs are public investment agencies which manage
governments foreign-currency reserves
accumulated via goods/commodity exports - Recent papers focus on SWF investments or
holdings, comparing across funds by quality of
governance or level of transparency, but with no
clearly-defined overall benchmarks - Exception Chhaochharia Laeven
- We widen the lens studying not only SWF-led
acquisitions but also other government-controlled
acquirers, including agencies majority controlled
by SWFs and benchmark all by corporate acquirers
9Our Findings
- There is large cross-country variation in
cross-border activity led by government-controlled
acquirers by home of acquirers (China, 115b
France, 94b Singapore, 69b) and by countries
of targets (US, 124b UK, 91b HK, 66b
Australia, 27b) - Government acquisitions are relatively more
intense for geographically-close countries than
corporate deals, less sensitive to differences in
economic development, legal institutions,
accounting standards stringency of FDI
restrictions - Overall, explanatory power of differences is low
- Government-controlled acquirers more likely to
target larger firms with more growth options and
more financial constraints and market reactions
(CMARs) to acquisition announcements are similar
(8) - Pseudo-R2 of logits of target firm choices are
very low - CMARs statistically indistinguishable, especially
if controls included - SWFs targets are larger, less constrained deals
less likely to fail CMARs are positive (1.5),
but smaller than other govt-led deals
10The Roadmap
- The Questions Asked in this Paper
- Motivation
- Summary
- Data
- Sample of Firms
- Summary Statistics (Table 2, Figure 2)
- Results
- Determinants of Cross-Border Acquisition Activity
(Table 3) - Logit regressions of Target Firm Choices (Tables
4 5) - CMARs and cross-sectional tests (Tables 6 7)
- Concluding Remarks
11Data and Sample
- Thomson Reuters Security Data Corp (SDC)
Platinum Mergers and Corporate Transactions data
yields 155,696 deals between 1990 2008 with
total value of 10.6 tr (in Constant 2000 US ) - Deal characteristics fractional stake in target
gt5 (majority if gt50), announcement date,
failed/withdrawn, targets name, status (sub, JV,
private or govt-owned), intermediate ultimate
parent name/status, deal value (if disclosed),
SIC code, terms of payment, open market purchase
or private negotiation - Excluded buyouts, spinoffs, recaps, self-tender
offers, exchange offers, repurchases and
privatizations, acquirers from UK, Dutch
tax-haven territories (Bahamas, Cayman, Guernsey,
Dutch Antilles) - Government-controlled acquirers
- SDCs AUPPUB status is government, requires 50
control - Double-check by hand using annual reports,
filings, news stories, etc - SWF identified by name from www.swfinstitute.org
ownership status
12Summary Statistics (Table 1)
13Largest Government-Led Deals in the Sample
- Top Govt Acquirers Temasek (Singapore, 40b, 167
deals), China Unicom Ltd (22b, 2), Japan Tobacco
(21b, 6), EDF (France, 21b, 20), CNOOC (China,
18b, 1) - Top SWF Acquirers Temasek, GIC (Singapore, 23b,
56 deals), SABIC (Saudi, 12b, 4), ICD (UAE,
11b, 15), China Development Bank (7b, 4)
14The Roadmap
- The Questions Asked in this Paper
- Motivation
- Summary
- Data
- Sample of Firms
- Summary Statistics (Table 2, Figure 2)
- Results
- Determinants of Cross-Border Acquisition Activity
(Table 3) - Logit regressions of Target Firm Choices (Tables
4 5) - CMARs and cross-sectional tests (Tables 6 7)
- Concluding Remarks
15Determinants of Cross-Border Acquisition Activity
- Does deal activity led by government-controlled
acquirers emanate from some countries more than
from others? Are they more likely to pursue
targets in some countries more than others? - We compute cross-border ratios of government-led
deal activity (by counts and by cumulative
constant dollar value) in two ways - Between acquirer country i target j relative to
all activity from country i - Between acquirer country i target j relative to
all activity to country j - We repeat the same computations for corporate-led
acquisitions and, separately for both types, for
minority and majority deals - Finally, we evaluate relative ratios of
government-led to corporate-led acquisition
activity between country pairs i and j
16Cross-Border Acquisition Activity Ratios (Table
2)
17Cross-Border Acquisitions by Origin of Acquirer
(Fig 2a)
18Cross-Border Acquisitions By Major Targets (Fig
2b)
19Determinants of Cross-Border Acquisition Activity
- Our central null hypothesis is that cross-border
acquisition activity between country pairs
involving government-controlled acquirers is no
different than that for corporate acquirers - Theory/empirical evidence guides us to specific,
testable alternatives - Valuation differences between target acquirer
firms (Mkt returns, FX) - Wealth shocks (Froot Stein, 1991 Baker et al,
2008 Erel, Liao Weisbach, 2009) - Sentiment misvaluation (Shleifer Vishny,
1993 Moeller et al., 2005 Dong et al, 2006) - SWF study by Bernstein et al (2009) show relative
P/E matters - Corporate Governance (Legal (ASDI), Accounting
Standards, PolityIV) - Rossi Volpin (2004), Antras et al (2007),
Starks Wei (2007) Bris Cabolis (2008), Bris
et al (2008) for cross-border corporate mergers - SWF study by Bernstein et al (2009) emphasize
political affiliations of SWF management - Geographic proximity (great circle distance)
- Gravity models in trade and FDI flows
(Anderson, 1979 Portes Rey 2005) - Culture, language, ethnicity, religion (Kang
Kim, 2009 for SWFs, Chhaochharia Laeven) - Control variables
- GDP per capita, real GDP growth differences, Tax
haven target dummy, market correlation,
EU-specific deal, FDI restrictiveness (Golub,
2003 for OECD countries)
20Determinants of Acquisition Activity (Table 3)
21What Factors Drive Government Acquirer Deals?
- Country-level analysis ignores many target firm
characteristics deal-specific factors that can
affect the decision to acquire a target - But deal-level analysis focuses on public target
firms for which sample drops by 88 among
corporate deals (150,379 to 17,845) 50,
govt-led deals (5,317 to 2,261), even more
depending on Worldscope - Logit regressions dep variable 1 for govt-led
deals and 0, for corp deals (country, year fixed
effects), all reported in marginal effects - We evaluate market timing, governance motives
additional ones - Product market relationship contracting (same
industry, high RD) - Partial integration helps with information
environments with incomplete contracting - Allen Phillips (2000), Fee, Hadlock Thomas
(2006), Liao (2009) - Financial constraints (Zero-dividend, Whited-Wu,
Hadlock-Pierce dummy) - Allen Phillips (2000), Fee, Hadlock Thomas
(2006), Liao (2009) - Firm-specific control variables
- B/M, ROA, Sales growth, Log assets, Debt/assets,
Worldscopes Closely-held shares, All-cash deal
(majority deals only), Fraction of target shares
(majority deals only)
22Logit Regressions of Government Led Deals (Table
4)
Economics? A non-dividend- paying target firm
(21 of sample) has 1.5 greater likelihood of
a govt-led deal (4.44 average) A s increase in
12-mo. Mkt. Ret. (31) is associated with 0.81
lower likelihood of a govt-led deal (4.44
average)
23Are SWF-led Acquisitions Different? (Table 5)
24Target Firms Market Reactions to Government
Deals?
- How do shareholders of target firms react to
announcement of cross-border deal led by
government-controlled acquirer? Differently than
corporate-led acquisition? - Cumulative market-adjusted returns (CMARs) using
local VW market indexes over three windows
(21-day, 11-day 3-day) for both
government-controlled corporate acquirers,
minority majority acquisition deals separately - Benchmark results in other empirical studies
- Majority-control cross-border corporate
acquisitions - 5-day CARs around 14 (Bris Cabolis, 2008),
another 11 for days 2 to 10 - 11-day CARs of 28.24 (Starks Wei, 2004)
- Minority stake (lt50) corporate acquisitions
- 6.9 US-only sample (Allen Phillips, 2000)
- 9 for out-of-state deals in US (Kang Kim,
2008) - 8.7 23-day CMARs for domestic deals globally,
7.4 in cross-border (Liao, 2009)
25Market Reactions to Government Deals (Table 6)
26Cross-sectional Regressions of CMARs (Table 7)
27Target Firms Market Reactions to SWF Acquirers?
- How do shareholders of target firms react to
announcement of cross-border deal led by
sovereign wealth fund? Differently than if by
other government-controlled acquirers? - We find CMARs of SWFs are much lower (1.41
versus 8.05) and the differences are
statistically significant (Table 6, Panel B) and
also robust to controlling for various firm-,
deal-specific and country-level variables (Table
7, Panel B) - Benchmark results show positive reactions in
other SWF studies - 3-day CARs of 0.46 (Fotak et al, 2009, 212
deals) - 3-day CARs of 2.15 (Kotter Lel, 2008, 163
deals) - 5-day CARs of 0.89 (Chhaochharia Laeven, 2009,
89 deals)
28The Roadmap
- The Questions Asked in this Paper
- Motivation
- Summary
- Data
- Sample of Firms
- Summary Statistics (Table 2, Figure 2)
- Results
- Determinants of Cross-Border Acquisition Activity
(Table 3) - Logit regressions of Target Firm Choices (Tables
4 5) - CMARs and cross-sectional tests (Tables 6 7)
- Concluding Remarks
29Concluding Remarks
- Cross-border acquisition activity involving
government-controlled acquirers over the past 20
years is substantial and growing and our study is
the first assess whether the motives for and
consequences of such deals are different from
those of corporate acquirers - While there is significant cross-country
variation in government-led acquisition activity,
it is difficult to explain much of it and it is
also hard to distinguish differences in target
firm characteristics and market reactions to
acquisition announcements at the deal level - SWF-led government deals do pursue different
kinds of targets and the market reactions to
their announcements are significantly lower - There are important implications for recent
policies adopted in the US and other countries to
restrain foreign acquisitions, in general, and by
government entities, in particular - There are many avenues for further study
(longer-run consequences, exploring other
alternative hypotheses, deals by types of SWFs,
possible positive/negative externalities)