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'Bank business models at zero interest rates'

Detail Summary
Date 28 February 2017
Time 13:00 - 14:30
Location Roeterseilandcampus - gebouw M


We propose a novel observation-driven dynamic 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 these adjust to post-crisis financial developments.

Specifically, bank business models adapt to changes in the yield curve (with AndrĂ© Lucas and Bernd Schwaab).


Room M3.02

Roeterseilandcampus - gebouw M

Plantage Muidergracht 12
1018 TV Amsterdam