Arbeitspapier
Bank business models at zero interest rates
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 t 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.
- ISBN
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978-92-899-2806-9
- Language
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Englisch
- Bibliographic citation
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Series: ECB Working Paper ; No. 2084
- Classification
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Wirtschaft
Banks; Depository Institutions; Micro Finance Institutions; Mortgages
Multiple or Simultaneous Equation Models: Panel Data Models; Spatio-temporal Models
- Subject
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bank business models
clustering
finite mixture model
score-driven model
low interest rates
- Event
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Geistige Schöpfung
- (who)
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Lucas, André
Schaumburg, Julia
Schwaab, Bernd
- Event
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Veröffentlichung
- (who)
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European Central Bank (ECB)
- (where)
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Frankfurt a. M.
- (when)
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2017
- DOI
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doi:10.2866/35663
- Handle
- Last update
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10.03.2025, 11:44 AM CET
Data provider
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
Object type
- Arbeitspapier
Associated
- Lucas, André
- Schaumburg, Julia
- Schwaab, Bernd
- European Central Bank (ECB)
Time of origin
- 2017