Now is the Time: The Impact of Linguistic Time Reference on Corporate Default Risk

Kung-Cheng Ho, Yiling Chen, Dezhu Ye, Cheng Yan
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Abstract

Synopsis The research problem This paper assesses whether and how people’s perceptions of time — strong future time reference (FTR) versus weak FTR — affect corporate default risk. Motivation or theoretical reasoning Studies have shown that default risk varies across firms, regions, and countries, highlighting the need for a comprehensive understanding of the contributing factors. Traditional studies focus on how firm-level, industry-level, national and international economic and financial variables shape corporate default risk, but they fail to explain cross-country and cross-regional differences in corporate default risk from the perspective of informal institutions, particularly, language. This study takes the first step to examine whether and how future-oriented language shapes corporate default risk. The test hypotheses We first tested whether strong-FTR language decreases corporate default risk. We further tested whether the effect of strong-FTR language on default risk depends on firms’ level of information transparency. In addition, we tested whether the effect of strong-FTR language on default risk depends on a country’s disclosure requirements. Lastly, we tested whether the effect of strong-FTR language on default risk depends on a country’s control of corruption. Target population We find that corporate default risk is significantly higher in regions dominated by speakers of weak-FTR languages, using a comprehensive sample of firms in 36 countries with 180,013 observations spanning from 1988 to 2017. Adopted methodology Ordinary least square regressions were used in this study. Analyses Corporate default risk is measured by two proxies of firm probability of default, following Merton [(1974) Journal of Finance, 29(2), 449–470] and Lee and Lin [(2012) Journal of International Financial Markets, Institutions, and Money, 22(4), 973–989]. Our independent variable is Strong FTR, which equals 1 if a language belongs to the strong-FTR language family, as defined by the European Science Foundation’s Typology of Languages in Europe (EUROTYP) project. If a language does not require “obligatory [FTR] use in (main clause) prediction-based contexts” [Dahl (2000)Tense and Aspect in the Languages of Europe, O. Dahl (Ed.), pp. 309–328], then we put this language into the weak-FTR group. On the other hand, if a language does have the above-mentioned requirement, then it belongs to the strong-FTR group. Findings We found that corporate default risk is significantly higher in regions dominated by speakers of weak-FTR languages. Furthermore, the FTR effect on default risk is weakened in countries with stronger formal institutions (e.g., high disclosure quality, greater transparency, and less corruption). Our results introduce a new explanation for heterogeneity in corporate default risk, provide insights about whether language is an economic institution, and adds to research on the effects of languages on economic and financial outcomes.
时逢其时:语言时间参照对企业违约风险的影响
本文评估了人们对时间的感知——强未来时间参考(FTR)和弱未来时间参考(FTR)——是否以及如何影响公司违约风险。动机或理论推理研究表明,违约风险因公司、地区和国家而异,这突出了全面了解促成因素的必要性。传统研究关注企业层面、行业层面、国家层面和国际层面的经济金融变量如何影响企业违约风险,但未能从非正式制度尤其是语言的角度解释企业违约风险的跨国、跨地区差异。本研究首先考察了面向未来的语言是否以及如何塑造企业违约风险。我们首先测试了强ftr语言是否会降低公司违约风险。我们进一步检验了强ftr语言对违约风险的影响是否取决于企业的信息透明度水平。此外,我们测试了强ftr语言对违约风险的影响是否取决于一个国家的披露要求。最后,我们检验了强ftr语言对违约风险的影响是否取决于一个国家对腐败的控制。我们发现,在以使用弱ftr语言的人为主的地区,企业违约风险明显更高,我们对36个国家的公司进行了全面抽样,从1988年到2017年进行了180,013次观察。本研究采用普通最小二乘回归。分析了Merton [(1974) Journal of Finance, 29(2), 449-470]和Lee and Lin [(2012) Journal of International Financial Markets, Institutions and Money, 22(4), 973-989]用企业违约概率的两个代理度量企业违约风险。我们的自变量是强FTR,如果一种语言属于强FTR语族,它等于1,这是由欧洲科学基金会的欧洲语言类型学(EUROTYP)项目定义的。如果一种语言不需要“在基于预测的上下文(主句)中强制使用[FTR]”[Dahl(2000)《欧洲语言中的时态和方面》,O. Dahl(主编),第309-328页],那么我们将这种语言放入弱FTR组。另一方面,如果一种语言确实具备上述要求,那么它就属于强ftr组。我们发现,在使用弱ftr语言的地区,企业违约风险明显更高。此外,在正式制度较强的国家(如披露质量高、透明度高、腐败较少),FTR对违约风险的影响减弱。我们的研究结果为企业违约风险的异质性提供了一种新的解释,提供了关于语言是否是一种经济制度的见解,并增加了语言对经济和金融结果影响的研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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