Risk Disclosure and Firm Value: Evidence from the United Kingdom

IF 0.5 Q4 ECONOMICS
Tache Marta
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引用次数: 2

Abstract

Abstract The International Accounting Standard Board (IASB) aimed to increase the decision usefulness of firms’ risk disclosures with the 2007 introduction of the International Financial Reporting Standards (IFRS) 7. Specifically, listed firms were mandated to provide information to the market on both their (1) exposure and (2) risk management, which are associated with holding their financial instruments. This study investigates whether IFRS 7 financial instruments and their disclosures are associated with firm valuation. Using data on premiumlisted United Kingdom (UK) companies, for the period 2007–2019, I find evidence that firm value (proxied by Tobin's Q) is negatively associated with the quantity of IFRS 7 interest and credit risk disclosures. I further find that the market value decreases with the presence of quantitative information tabulated in the disclosures. The findings of this study have important implications for the IASB's standard-setting process.
风险披露与企业价值:来自英国的证据
国际会计准则理事会(IASB)旨在通过2007年引入国际财务报告准则(IFRS) 7来提高企业风险披露的决策有用性。具体而言,上市公司被要求向市场提供有关其(1)风险敞口和(2)风险管理的信息,这些信息与持有其金融工具有关。本研究探讨IFRS 7金融工具及其披露是否与公司估值相关。使用2007-2019年期间英国优质上市公司的数据,我发现有证据表明,公司价值(由托宾Q代理)与IFRS 7利息和信用风险披露的数量呈负相关。我进一步发现,随着披露中列出的量化信息的存在,市场价值会下降。本研究的结果对国际会计准则理事会的准则制定过程具有重要意义。
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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来源期刊
CiteScore
0.60
自引率
0.00%
发文量
9
期刊介绍: The Central European Journal of Economic Modelling and Econometrics (CEJEME) is a quarterly international journal. It aims to publish articles focusing on mathematical or statistical models in economic sciences. Papers covering the application of existing econometric techniques to a wide variety of problems in economics, in particular in macroeconomics and finance are welcome. Advanced empirical studies devoted to modelling and forecasting of Central and Eastern European economies are of particular interest. Any rigorous methods of statistical inference can be used and articles representing Bayesian econometrics are decidedly within the range of the Journal''s interests.
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