增选董事是否会影响公司的财务困境风险?

Aitzaz Ahsan Alias Sarang, Asad Ali Rind, Riadh Manita, Asif Saeed
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摘要

本研究探讨了增选董事(CODIR)与公司财务困境风险(FFDR)之间的关系,增选董事是指首席执行官(CEO)上任后任命的董事占董事会规模的比例。由于高风险承担对金融危机的重大影响以及对董事会成员风险监督的更高期望,了解 CODIR 和 FFDR 之间的关系势在必行。尽管有关公司治理和 FFDR 的研究越来越多,但对 CODIR 作用的关注却很少,这在文献中是一个重大空白。我们使用 1996 年至 2019 年的美国样本,涵盖 13486 个公司年观测值,记录了 CODIR 可降低财务困境风险,支持了增选董事的财务困境风险承担倾向低于非增选董事的假设。我们还发现,至少有三名增选董事和独立增选董事的临界质量会降低财务困境风险。我们的研究结果还表明,以首席执行官双重性和首席执行官任期为表现形式的首席执行官权力、以跟踪公司的分析师数量为表现形式的外部监控、竞争和收购易感性并不会导致我们得出关于增选和财务自由裁量权的主要结论。最后,结果显示 CODIR 通过流动性渠道降低了 FFDR。这些结论在不同的增持和困境风险定义下都是稳健的,并且在差分分析和倾向得分匹配中都是一致的。
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Does a co‐opted director affect a firm's financial distress risk?
This study examines the relationship between co‐opted directors (CODIR), measured as the fraction of directors appointed after the Chief Executive Officer (CEO) assumes office to board size, and firms' financial distress risk (FFDR). Understanding the relationship between CODIR and FFDR is imperative due to the significant impact of high risk‐taking on financial crises and the heightened expectations placed on board members for risk oversight. Despite growing research on corporate governance and FFDR, little attention has been paid to the role of CODIRs, presenting a significant gap in the literature. Using a US sample from 1996 to 2019, covering 13,486 firm‐year observations, we document that CODIR reduces FFDR, supporting the hypothesis that co‐opted directors have a lower financial distress risk‐taking propensity than their non‐co‐opted counterparts. We also find that a critical mass of at least three CODIRs and independent CODIRs reduces FFDR. Our results also document that CEO power in the form of CEO duality and CEO tenure, external monitoring in the form of the number of analysts following the firm, competition, and takeover susceptibility do not drive our main conclusions for co‐option and FFDR. Finally, the results show that CODIR reduces FFDR through liquidity channels. The findings remain robust to various definitions of co‐option and distress risk, and are consistent in both difference‐in‐differences analysis and propensity score matching.
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