遇险的信息价值

Christian Hilpert, Stefan Hirth, Alexander Szimayer
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引用次数: 0

摘要

我们提出了一个研究债务市场学习动态的新框架。观察一家公司在明显低迷时期的生存情况,市场会排除那些与观察到的生存情况相一致的过低的资产价值估计。因此,对于给定的财务状况,公司的债务成本变得更低。相对于一个完美的信息环境,公司战略性地延迟违约以从随后较低的债务成本中获益。违约是一个意外,因为它揭示了目前最糟糕的资产价值是正确的。对于具有较高绩效敏感性和较低事前信息不对称的债务,意外效应得到缓解。这篇论文被金融学的Gustavo Manso接受。资助:本工作由丹麦Frie Forskningsfond [Grant 0133-00087B],澳大利亚研究理事会[Grant DP160104737],德国Forschungsgemeinschaft [Grant 282079427],中国中央大学基础研究基金[Grant 18wkpy36]和丹麦金融研究所(DFI)支持。补充材料:数据文件和在线附录可在https://doi.org/10.1287/mnsc.2022.4632上获得。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Information Value of Distress
We propose a novel framework for investigating learning dynamics on the debt market. Observing a firm’s survival of apparently distressed periods, the market eliminates asset value estimates that are too low to be consistent with the observed survival. Therefore, the firm’s cost of debt becomes lower for given financials. Relative to a perfect information setting, the firm strategically delays default to benefit from a subsequently lower cost of debt. Default comes as a surprise, as it reveals the currently worst possible asset value as correct. The surprise effect is mitigated for debt with higher performance sensitivity and for lower ex ante information asymmetry. This paper was accepted by Gustavo Manso, finance. Funding: This work was supported by Danmarks Frie Forskningsfond [Grant 0133-00087B], Australian Research Council [Grant DP160104737], the Deutsche Forschungsgemeinschaft [Grant 282079427], Fundamental Research Funds for the Central Universities of China [Grant 18wkpy36], and the Danish Finance Institute (DFI). Supplemental Material: The data files and online appendices are available at https://doi.org/10.1287/mnsc.2022.4632 .
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