
An analysis of the relation between enterprise risk management (ERM) information disclosure and traditional risk measures in the US banking sector
Author(s) -
Raef Gouiaa,
Daniel Zéghal,
Meriem El Aoun
Publication year - 2020
Publication title -
risk governance and control: financial markets and institutions
Language(s) - English
Resource type - Journals
eISSN - 2077-4303
pISSN - 2077-429X
DOI - 10.22495/rgcv10i1p5
Subject(s) - enterprise risk management , relevance (law) , business , risk management , portfolio , factor analysis of information risk , actuarial science , accounting , risk management information systems , risk analysis (engineering) , information system , finance , management information systems , political science , law , electrical engineering , engineering
The purpose of this article is to validate the quality and the relevance of enterprise risk management (ERM) information disclosure by analyzing the relation between the different dimensions of ERM disclosed in the annual report and the traditional measures of risk in the US banking sector. We use content analysis to measure ERM dimensions and a correlation analysis to document the links between risk exposure, consequences, and strategies (Aebi, Sabato, & Schimd, 2012), and the traditional measures of risk (Schnatterly, Clark, Howe, & DeVaughn, 2019) disclosed in the annual reports from 2006 to 2009. We then separately make the analysis for the period before and after the crisis to identify any effect of the crisis on ERM information’s ability to predict and reflect the banking sector’s traditional risk (Maingot, Quon, & Zéghal, 2018). Our results reveal the overall validity of ERM information in assessing traditional risk measures through a significant correlation between ERM exposure, consequences and strategies, and most of the traditional measures of risk. Finally, we confirmed the relevance and the robustness of our results through a portfolio analysis approach. This research sheds new light on the relevance of ERM information by introducing a new framework and a new methodology for assessing the validity of this information within the banking sector, where risk management plays a vital role. The results are potentially useful for banks regulators as well as for producers and users of the information on banking risks.