Defensive Tactics and Optimal Search: A Simulation Approach

R. Gilson, Alan L. Schwartz
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引用次数: 5

Abstract

The appropriate division of authority between a company’s board and its shareholders has been the central issue in the corporate governance debate for decades. This issue presents most vividly for defensive tactics: the extent to which the board of a potential acquisition target is allowed to prevent the shareholders from responding directly to a hostile bid. In the US today, the board’s power is extensive; control largely lies with the board. Normative evaluations of current law face two obstacles. First, defensive tactics raise the social welfare question whether, or to what extent, these tactics deter ex ante efficient takeovers. This question cannot be answered empirically because the econometrician can observe bids but cannot observe deterred bids. The social welfare issue is also difficult to resolve using current analytical techniques because the market for corporate control is unusually complex: in it, financial and strategic buyers search for mismanaged companies or synergy targets; and some synergy targets search for acquirers. Turning to targets, the question which defensive tactics level maximizes shareholder welfare also is difficult to answer because of the qualitative nature of defensive tactics: Is a poison pill more or less privately efficient than a staggered board? What are the welfare consequences of combining a pill with a staggered board or a supermajority voting requirement? In this paper, we write a search equilibrium model of the market for corporate control and solve it by simulating plausible parameters for the variables of interest. Because we specify the number of ex ante efficient acquisitions that could be made, we can estimate market efficiency – the ratio of made matches to good matches – under legal regimes that are more or less friendly to defensive tactics. Also, we argue that the common metric among defensive tactics is time: the ability of various tactics to delay bid completion and thus reduce bidder, and thereby increase target, returns. We have two important results: First, strong defensive tactics reduce market efficiency significantly. Our simulations suggest that approximately a $100 billion in deal value is lost each year in consequence of these tactics. Simulations are only suggestive and our simulated model likely overstates the welfare loss. Nevertheless, the result that defensive tactics cause economically significant welfare losses would stand even if our magnitude estimate is halved. Second, the defensive tactics level that maximizes target shareholder welfare is materially higher than the level that maximizes social welfare. These results also support a methodological claim: equilibrium analysis can illuminate regulatory issues regarding the market for corporate control.
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防御战术与最优搜索:仿真方法
几十年来,公司董事会和股东之间的适当权力划分一直是有关公司治理辩论的核心问题。这个问题最生动地展示了防御策略:潜在收购目标的董事会在多大程度上被允许阻止股东直接回应敌意收购。在今天的美国,董事会的权力是广泛的;控制权主要掌握在董事会手中。对现行法律的规范性评价面临两个障碍。首先,防御性策略提出了一个社会福利问题,即这些策略是否或在多大程度上阻碍了事先有效的收购。这个问题不能从经验上回答,因为计量经济学家可以观察出价,但不能观察被阻止的出价。社会福利问题也很难用现有的分析技术来解决,因为公司控制权的市场异常复杂:在这个市场上,财务和战略买家寻找管理不善的公司或协同目标;而一些协同目标则在寻找收购方。至于目标,由于防御策略的定性性质,哪种防御策略水平能最大限度地提高股东福利的问题也很难回答:毒丸计划比交错董事会的私下效率更高还是更低?将药丸与交错董事会或绝对多数投票要求相结合,会对福利产生什么影响?本文建立了公司控制权市场的搜索均衡模型,并通过模拟利益变量的似是而非的参数对其进行求解。因为我们指定了可以进行的事前有效收购的数量,我们可以在对防守战术或多或少友好的法律制度下估计市场效率——成功比赛与成功比赛的比率。此外,我们认为防御策略之间的共同度量是时间:各种策略延迟投标完成的能力,从而减少投标人,从而增加目标回报。我们有两个重要的结果:第一,强防守战术显著降低了市场效率。我们的模拟表明,由于这些策略,每年大约有1000亿美元的交易价值损失。模拟只是暗示,我们的模拟模型可能夸大了福利损失。然而,即使我们的估计值减半,防御战术造成经济上重大的福利损失的结果仍然成立。第二,使目标股东福利最大化的防御战术水平明显高于使社会福利最大化的防御战术水平。这些结果也支持了方法论上的主张:均衡分析可以阐明有关公司控制市场的监管问题。
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