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Assessing household credit risk: evidence from a household survey

Dániel Holló () and Mónika Papp ()
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Dániel Holló: Magyar Nemzeti Bank
Mónika Papp: Magyar Nemzeti Bank

No 2008/70, MNB Occasional Papers from Magyar Nemzeti Bank (Central Bank of Hungary)

Abstract: This paper investigates the main individual driving forces of Hungarian household credit risk and measures the shockabsorbing capacity of the banking system in relation to adverse macroeconomic events. The analysis relies on survey evidence gathered by the Magyar Nemzeti Bank (MNB) in January 2007. Our study presents three alternative ways of modelling household credit risk, namely the financial margin, the logit and the neural network approaches, and uses these methods for stress testing. Our results suggest that the main individual factors affecting household credit risk are disposable income, the income share of monthly debt servicing costs, the number of dependants and the employment status of the head of the household. The findings also indicate that the current state of indebtedness is unfavourable from a financial stability point of view, as a relatively high proportion of debt is concentrated in the group of risky households. However, risks are somewhat mitigated by the fact that a substantial part of risky debt is comprised of mortgage loans, which are able to provide considerable security for banks in the case of default. Finally, our findings reveal that the shock-absorbing capacity of the banking sector, as well as individual banks, is sufficient under the given loss rate (LGD) assumptions (i.e. the capital adequacy ratio would not fall below the current regulatory minimum of 8 per cent) even if the most extreme stress scenarios were to occur.

Keywords: financing stability; financial margin; logit model; neural network; stress test. (search for similar items in EconPapers)
JEL-codes: C45 D14 E47 G21 (search for similar items in EconPapers)
Pages: 41 pages
Date: 2008
New Economics Papers: this item is included in nep-ban, nep-cmp and nep-eec
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Citations: View citations in EconPapers (2)

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