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Operational risk and reputation in financial institutions: Does media tone make a difference?

Journal of Banking & Finance 2019 98, 1-24 open access
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.

Market structure and the efficiency of European insurance companies: A stochastic frontier analysis

Journal of Banking & Finance 2008 32(1), 86-100 open access
This paper is motivated by the progressive liberalisation of the European insurance market in recent years. It uses stochastic frontier analysis to estimate Flexible Fourier cost functions for European insurance companies. Separate frontiers are estimated for life, non-life and composite companies. We adopt a maximum likelihood approach to estimation in which the variance of both one-sided and two-sided error terms is modelled jointly with the frontiers. This approach allows us to simultaneously control for the impact of heteroskedasticity on the estimation of scale economies as well as estimating the effect of firm size and market structure on X-inefficiency. The study draws on Standard & Poor’s Eurothesys data set of financial reports for the period 1995 to 2001. This provides technical and non-technical accounts at year-end for life, non-life and composite insurance businesses in 14 major European countries. Our estimates suggest that over this period most European insurers were operating under conditions of decreasing costs (increasing returns to scale), and that company size and domestic market share were significant factors determining X-inefficiency. Larger firms, and those with high market shares, tend to have higher levels of cost inefficiency.