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WHAT IS DIFFERENT ABOUT GOVERNMENTCONTROLLED

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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)
2
What 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?

3
Cross-border activity of government acquirers
4
Some Recent Noteworthy Deals
5
Foreign Investment National Security Act of 2007
6
Recent Legislative Actions in Other Countries
7
Theoretical 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

8
New 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

9
Our 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

10
The 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

11
Data 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

12
Summary Statistics (Table 1)
13
Largest 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)

14
The 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

15
Determinants 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

16
Cross-Border Acquisition Activity Ratios (Table
2)
17
Cross-Border Acquisitions by Origin of Acquirer
(Fig 2a)
18
Cross-Border Acquisitions By Major Targets (Fig
2b)
19
Determinants 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)

20
Determinants of Acquisition Activity (Table 3)
21
What 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)

22
Logit 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)
23
Are SWF-led Acquisitions Different? (Table 5)
24
Target 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)

25
Market Reactions to Government Deals (Table 6)
26
Cross-sectional Regressions of CMARs (Table 7)
27
Target 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)

28
The 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

29
Concluding 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)
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