Bank Crashes and Micro Enterprise Loans

Marco Desogus and Beatrice Venturi

MPRA Paper from University Library of Munich, Germany

Abstract: This paper begins with an analysis of trends - over the period 2012-2018 - for total bank loans, non-performing loans and the number of active, working enterprises. A review survey was done on national data from Italy with a comparison developed on a local subset from the Sardinian Region. Empirical evidence appears to support the hypothesis of the paper: can the rating class assigned by banks - using current IRB and A-IRB systems - to micro and very small enterprises, whose ability to replace financial resources using endogenous means is structurally impaired, ipso facto orient the results of performance in the same terms of PD – Probability of Default assigned by the algorithm, thereby upending the principle of cause and effect? The thesis is developed through mathematical modelling that demonstrates the interaction of the measurement tool (the rating algorithm applied by banks) on the collapse of the loan status (default, performing or some intermediate point) of the assessed micro-entity. Emphasis is given, in conclusion, to the phenomenon using evidence of the intrinsically mutualistic link of the two populations of banks and (micro) enterprises provided by a system of differential equations.

Keywords: credit big data; rating models; MSE (Micro Small Enterprises) lending; financial system stability (search for similar items in EconPapers)
JEL-codes: C02 C18 G24 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Published in International Journal of Business and Social Science 12 (2019): pp. 35-53

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Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:114469

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