Systemic risk-shifting in U.S. commercial banking View Full Text


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Article Info

DATE

2019-03-07

AUTHORS

Angelos Kanas, Panagiotis D. Zervopoulos

ABSTRACT

This paper puts forward the proposition that U.S. commercial banks use dividends as a mechanism to shift systemic risk to debt-holders and the deposit insurer. Using a mixed data sampling modeling approach, it is shown that monthly systemic risk factors are associated with a positive effect on future quarterly bank dividends indicating systemic risk-shifting. These factors include absorption (Kritzman et al. in MIT working paper, 2010), catfin (Allen et al. in Rev Financ Stud 25:3000–3036, 2012), covar (Adrian and Brunnermeier in CoVaR. NBER Working Paper 17454. National Bureau Economic Research, Cambridge, MA, 2011), delta_covar (Adrian and Brunnermeier 2011, mes (Acharya et al. in Rev Financ Stud 24:2166–2205, 2011b), real_vol (Giglio et al. in J Financ Econ 119:457–471, 2016), and size_con (Giglio et al. 2016). In addition, they can now-cast the upward trend in systemic risk-shifting in the 1990s and the downward trend from the early 2000s to 2007. The findings suggest that the rules governing bank dividends need be revised, support the imposition of a dividend tax to mitigate the negative externalities of dividends as a risk-shifting mechanism, and document a reduced effectiveness of Prompt Corrective Action in controlling risk-shifting. More... »

PAGES

517-539

References to SciGraph publications

  • 2015-02-27. Dodd–Frank and risk in the financial services industry in REVIEW OF QUANTITATIVE FINANCE AND ACCOUNTING
  • 2018-05-02. Managerial risk incentives and accounting conservatism in REVIEW OF QUANTITATIVE FINANCE AND ACCOUNTING
  • 2016-12-22. Copula-based factor model for credit risk analysis in REVIEW OF QUANTITATIVE FINANCE AND ACCOUNTING
  • 2017-02-18. Determinants of equity return correlations: a case study of the Amman Stock Exchange in REVIEW OF QUANTITATIVE FINANCE AND ACCOUNTING
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    http://scigraph.springernature.com/pub.10.1007/s11156-019-00797-5

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    http://dx.doi.org/10.1007/s11156-019-00797-5

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1112609426


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