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Asset correlations and bank capital adequacy

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  • Giampaolo Gabbi
  • Pietro Vozzella

Abstract

This paper addresses the estimation of confidence sets for asset correlations used in credit risk portfolio models. Research on the estimation of asset correlations using endogenous probabilities of default estimations has focused on the impact of concentration risk factors, such as firm size and industry. The empirical evidence from Italian small- and medium-size companies show that the assumptions underlying the Basel Committee regulatory capital risk weight function are not substantiated. The regulatory impact is that the capital adequacy is significantly compromised, driving an adverse selection, which favors the worst companies, and transferring the procyclical effects from firms to banks.

Suggested Citation

  • Giampaolo Gabbi & Pietro Vozzella, 2013. "Asset correlations and bank capital adequacy," The European Journal of Finance, Taylor & Francis Journals, vol. 19(1), pages 55-74, January.
    • Handle: RePEc:taf:eurjfi:v:19:y:2013:i:1:p:55-74
    DOI: 10.1080/1351847X.2012.659266
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    Cited by:

    1. Clive Hunt & Ross Taplin, 2019. "Aggregation of Incidence and Intensity Risk Variables to Achieve Reconciliation," Risks, MDPI, vol. 7(4), pages 1-14, October.
    2. Camilla Ferretti & Giampaolo Gabbi & Piero Ganugi & Pietro Vozzella, 2016. "Rating Trajectories and Credit Risk Migration: Evidence for SMEs," DISCE - Quaderni del Dipartimento di Scienze Economiche e Sociali dises1615, Università Cattolica del Sacro Cuore, Dipartimenti e Istituti di Scienze Economiche (DISCE).
    3. Camilla Ferretti & Giampaolo Gabbi & Piero Ganugi & Federica Sist & Pietro Vozzella, 2019. "Credit Risk Migration and Economic Cycles," Risks, MDPI, vol. 7(4), pages 1-18, October.
    4. Giampaolo Gabbi & Michele Giammarino & Massimo Matthias, 2020. "Die Hard: Probability of Default and Soft Information," Risks, MDPI, vol. 8(2), pages 1-12, May.
    5. Ho, Kung-Cheng & Lee, Shih-Cheng & Chen, Jiun-Lin, 2022. "Book-to-market equity and asset correlations—An international study," International Review of Economics & Finance, Elsevier, vol. 79(C), pages 258-274.
    6. M. Dietsch & K. Düllmann & H. Fraisse & P. Koziol & C. Ott, 2016. "Support for the SME Supporting Factor - Multi-country empirical evidence on systematic risk factor for SME loans," Débats économiques et financiers 23, Banque de France.

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