Earnings Management Modelling in Banks - A Framework

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Abstract

Accounting research has extensively debated the modelling of Earnings Management (EM) for all industries but the baking industry. We provide a first analysis of the validity, strengths and weaknesses of existing loan loss provisioning (LLP) models and develop an extensive framework for modelling components. We rely on US data from 2000-2018 and apply prevalent test procedures that examine the extent of measurement errors, extreme performance, omitted-variable biases and predictive power of each of the models. The results indicate that established modelling can be optimized with regard to measurement errors, omitted-variable biases and predictive power. In particular, we find that including net charge offs is less important while a non-performing loan component is indispensable. In addition, our results reveal that LLP models are less prone to measurement errors related to one-step vs. two-step modelling, while more advanced estimation approaches are not linked to better prediction power.

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Daniel Schaupp
Daniel Schaupp
Assistant Professor of Accounting

My research interests include transparency, opportunisitc behavior in organizations and performance evaluation and feedback systems.

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