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Probing the mechanism: lending rate setting in a data-driven agent-based model

Georgios Papadopoulos

MPRA Paper from University Library of Munich, Germany

Abstract: The mechanism underlying banks' interest rate setting behaviour is an important element in the study of economic systems with important policy implications associated with the potential of monetary and -recently- macroprudential policies to affect the real economy. In the agent-based modelling literature, lending rate setting has so far been modelled in an ad-hoc manner, based almost exclusively on theoretical grounds with the specifics usually chosen in an arbitrary fashion. This study tries to empirically identify the mechanism that approximates the observed patterns of consumer credit interest rates within a data-driven, agent-based model (ABM). The analysis suggests that there is heterogeneity across countries, both in terms of the rule itself as well as its specific parameters and that often a simple, borrower-risk only mechanism adequately approximates the historical series. More broadly, the validation exercise shows that the model is able to replicate the dynamics of several variables of interest, thus providing a way to bring ABMs "close to the data".

Keywords: Agent-based modelling; Lending rate mechanism; Consumer credit; Model validation; Rule discovery (search for similar items in EconPapers)
JEL-codes: C63 E21 E27 E43 (search for similar items in EconPapers)
Date: 2020-09-04
New Economics Papers: this item is included in nep-cba, nep-cmp, nep-mac, nep-mon and nep-ore
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