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Statistical Models to Measure Corporate Reputation
Keywords
Mixture of binomial and uniform , Ordinal models, Media reputation
Abstract
Reputation can be defined as how an entity (private or public) is perceived by each of its stakeholder groups and reputation risk as the risk that an event will negatively influence stakeholder perceptions. Since reputation involves intangible assets (public opinion, perception, reliability, merit), it is not simple to define and consequently to measure and to monitor the correlated risk. In this contribution we propose statistical models based on ordinal data aimed at measuring effectively reputation. The proposed models are applied to real data on Italian public companies taken from financial media corpora.