DECISION SUPPORT MODEL FOR THE ASSESSMENT OF BANK REPUTATIONAL RISK

This paper presents a decision support model aimed at the assessment of reputational risks associated with bank operation. The innovative aspect of the model is that it combines different types and sources of information: structured and unstructured, quantitative and qualitative, internal and external. Unstructured, qualitative and external aspects are represented by sentiment of news and blogs about bank counterpart organisations. The model is multi-attribute and hierarchical, and is composed of three modules: basic data processing, qualitative evaluation, aggregation; these are presented in detail. The paper also presents a prototype implementation of the model and illustrates its application on real-life data.