Risk Reporting Practices of Listed Companies: Cross- Country Empirical Evidence from the Auto Industry

Author:

Vyychytilova JanaORCID,Nadirov OrkhanORCID,Pavelkova DrahomiraORCID,Mikeska MartinORCID

Abstract

Prior literature has shown that corporate transparency is linked to a firm’s competitiveness. The frequently noted vagueness and inadequacy of reported risk disclosures have been accompanied by calls for industry-specific studies. This paper aims to examine the disclosure informativeness of leading multinational automobile firms worldwide regarding firm-specific risks, namely company risk and company size. Applying a content analysis to examine the prevalent disclosure context in the automotive industry, we analyze and classify the annually reported risk statements of 34 multinationals quoted within the NASDAQ OMX Global Automobile Index. These corporations are headquartered in 10 countries, located in the U.S. as well as in the E.U. and in Asia. Based on an employed Wilcoxon signed rank test, our results show that automobile multinationals favor revealing fewer (more) forward-looking and bad-news risk disclosures as compared to past-looking and good-news risk statements. Our findings further indicate that bigger and riskier automobile multinationals do not reveal larger amounts of risk information. This finding is inconsistent with disclosure theory and provides insight into less complex risk reporting practices that affect investor perceptions of risk by omitting risk information. This paper also provides new empirical evidence regarding the association between company risk and corporate risk disclosing practices in the auto industry; our data show that company size did not play a significant role. With our concentration on explaining current risk reporting practices in the automotive sector, these results are robust with respect to firm-specific risk variables, thus the findings may prove usable for policy frameworks.

Publisher

Tomas Bata University in Zlin

Subject

General Economics, Econometrics and Finance,General Business, Management and Accounting

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3