IJM 2020
DOI: 10.34196/ijm.00213
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Modelling households’ financial vulnerability with consumer credit and mortgage renegotiations

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Cited by 9 publications
(9 citation statements)
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“…These results suggest that the considered borrower-based measures, calibrated at the levels proposed in this paper, which are in line with the experience of other European countries, would have only marginally increased the resilience of the Italian financial system. This result is largely related to the already well documented financial resilience of the Italian households (Attinà, Franceschi, and Michelangeli, 2020), and to the current low average levels of LTV and LSTI in Italy. Moreover, the results should also be interpreted having in mind that our calibration, despite adopting an cutting-edge methodology, is for some variables limited to their first moment due to the lack of more granular data.…”
mentioning
confidence: 77%
See 1 more Smart Citation
“…These results suggest that the considered borrower-based measures, calibrated at the levels proposed in this paper, which are in line with the experience of other European countries, would have only marginally increased the resilience of the Italian financial system. This result is largely related to the already well documented financial resilience of the Italian households (Attinà, Franceschi, and Michelangeli, 2020), and to the current low average levels of LTV and LSTI in Italy. Moreover, the results should also be interpreted having in mind that our calibration, despite adopting an cutting-edge methodology, is for some variables limited to their first moment due to the lack of more granular data.…”
mentioning
confidence: 77%
“…The overall low magnitude of these effects reflects the well documented financial resilience of Italian households (Attinà, Franceschi, and Michelangeli, 2020), and their low debt compared to other European countries. The baseline number of defaults is already quite low, even before any policy intervention, and it reflects the long-run average flow of bad loans (mortgages) for Italian households.…”
Section: Policy Shocksmentioning
confidence: 98%
“…We consider all indebted households and those with low income, which are more likely to experience financial difficulties in the face of a crisis (Bryan et al 2010;European Commission 2008;Hartfree and Collard 2014), and if there is a negative income shock, they are typically more likely to fall behind with their payments. To capture the higher risks stemming from these households, for instance, the Bank of Italy uses an indicator of financial vulnerability that accounts also for the income level (Michelangeli and Pietrunti 2014;Attinà et al 2020).…”
Section: The Risks In Consumer Credit Expansion: Evidence From Microdatamentioning
confidence: 99%
“…Intuitively, old clients already know the parent and for them the information effect is limited, while switchers are less aware and can fully enjoy the benefits of branding. The result is relevant because recourse to mortgage renegotiations has become quite popular in Italy, reaching 17 per cent of the new loans origination in 2018 (Attinà et al 2020). 12 With this empirical evidence in mind, we derive a life-cycle model and quantify the effect of brand name on consumers' search costs and households' transition across lenders.…”
Section: Introductionmentioning
confidence: 99%
“…This lead to an acceleration in mortgage renegotiations, particularly pronounced since 2015. 13 In Italy, mortgage renegotiations account for about 17 per cent of new loans origination in 2018 (Attinà et al 2020). 14 The premium could reflect consumer's inertia, inattention, loyalty, lack of information or other search frictions (Delgado-Ballester & Munuera-Alemán 2001;Banerjee & Bandyopadhyay 2003;White & Yanamandram 2004;Lewis & Soureli 2006;Su 2009;De Clippel et al 2014;Ericson 2014;Miravete & Palacios-Huerta 2014;Andersen et al 2015;Matějka & McKay 2015;Seenivasan et al 2016;Ho et al 2017;Ozdemir et al 2020).…”
Section: Introductionmentioning
confidence: 99%