10.6084/m9.figshare.5496949.v1
André Lucas
André
Lucas
Julia Schaumburg
Julia
Schaumburg
Bernd Schwaab
Bernd
Schwaab
Bank business models at zero interest rates<sup>*</sup>
Taylor & Francis Group
2017
bank business models
clustering
finite mixture model
score-driven model
low interest rates
G21
C33
2017-10-12 20:46:14
Journal contribution
https://tandf.figshare.com/articles/journal_contribution/Bank_business_models_at_zero_interest_rates_sup_sup_/5496949
<p>We propose a novel observation-driven finite mixture model for the study of banking data. The model accommodates time-varying component means and covariance matrices, normal and Student's <i>t</i> distributed mixtures, and economic determinants of time-varying parameters. Monte Carlo experiments suggest that units of interest can be classified reliably into distinct components in a variety of settings. In an empirical study of 208 European banks between 2008Q1–2015Q4, we identify six business model components and discuss how their properties evolve over time. Changes in the yield curve predict changes in average business model characteristics.</p>