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
978-92-899-2806-9
Language
Englisch

Bibliographic citation
Series: ECB Working Paper ; No. 2084

Classification
Wirtschaft
Banks; Depository Institutions; Micro Finance Institutions; Mortgages
Multiple or Simultaneous Equation Models: Panel Data Models; Spatio-temporal Models
Subject
bank business models
clustering
finite mixture model
score-driven model
low interest rates

Event
Geistige Schöpfung
(who)
Lucas, André
Schaumburg, Julia
Schwaab, Bernd
Event
Veröffentlichung
(who)
European Central Bank (ECB)
(where)
Frankfurt a. M.
(when)
2017

DOI
doi:10.2866/35663
Handle
Last update
10.03.2025, 11:44 AM CET

Data provider

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Object type

  • Arbeitspapier

Associated

  • Lucas, André
  • Schaumburg, Julia
  • Schwaab, Bernd
  • European Central Bank (ECB)

Time of origin

  • 2017

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