Operational Risk and Reputation in Financial Institutions: Does Media Tone Make a Difference?
Barakat, A., Ashby, S., Fenn, P. & Bryce, C. ORCID: 0000-0002-9856-7851 (2018). Operational Risk and Reputation in Financial Institutions: Does Media Tone Make a Difference?. Journal of Banking and Finance, 98, pp. 1-24. doi: 10.1016/j.jbankfin.2018.10.007
Abstract
Operational risk announcements are unexpected adverse media news that potentially harm the reputation of financial institutions. This paper examines the equity-based and debt-based reputational effects of financial sentiment tones in operational risk announcements and shows how such reputational effects are moderated by alternative sources of public information. Our analysis reveals that the net negative tone and litigious tone have adverse reputational effects, and the uncertainty tone mitigates the adverse reputational impact. Additionally, alternative, simultaneous sources of information neutralize the reputational effects of textual tones. First, third-party information about the event (i.e. regulatory announcements and final settlements) dissolves the favorable (adverse) reputational impact of the uncertainty tone (litigious tone). Second, loss amount disclosure and firm recognition substitute the reputational effects of the net negative tone and uncertainty tone only in Anglo-Saxon countries and market-based economies. Overall, our findings indicate that the reputational effects of the media materialize most when there is lack of certain, quantifiable and regulated public information about the operational risk event.
Publication Type: | Article |
---|---|
Additional Information: | © 2018 Elsevier. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/ |
Publisher Keywords: | Content Analysis, Financial Sentiment, Media News, Operational Risk, Reputational Risk, Textual Tone |
Subjects: | H Social Sciences > HD Industries. Land use. Labor > HD61 Risk Management H Social Sciences > HG Finance |
Departments: | Bayes Business School > Actuarial Science & Insurance |
SWORD Depositor: |
Available under License Creative Commons Attribution Non-commercial No Derivatives.
Download (1MB) | Preview
Export
Downloads
Downloads per month over past year