机构:
City Univ London, Ctr Econometr Anal, London, England
City Univ London, Fac Finance, Bayes Business Sch, London, EnglandUniv Bergamo, Dept Management, Bergamo, Italy
Urga, Giovanni
[2
,3
]
机构:
[1] Univ Bergamo, Dept Management, Bergamo, Italy
[2] City Univ London, Ctr Econometr Anal, London, England
[3] City Univ London, Fac Finance, Bayes Business Sch, London, England
In this paper, we evaluate whether banks and non-banks size and systemic risk are affected by their level of leverage. We implement a threshold analysis to a sample of European traditional banks and non-banks (Finance services and Real Estate Finance Services) over 2006:1-2019:4. We find that Finance Services show positive co-movements between leverage and size, independently of the level of leverage, while for traditional banks the level of leverage matters. Both banks and non-banks show positive correlation between leverage and systemic risk. During periods of crisis, SRISK measure of systemic risk allows to identify an optimal level of leverage.
机构:University of Nottingham,School of Economics, Australian Institute for Business and Economics (AIBE) and Centre for Efficiency and Productivity Analysis (CEPA)
Richard Simper
Maximilian J. B. Hall
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机构:University of Nottingham,School of Economics, Australian Institute for Business and Economics (AIBE) and Centre for Efficiency and Productivity Analysis (CEPA)
Maximilian J. B. Hall
WenBin Liu
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h-index: 0
机构:University of Nottingham,School of Economics, Australian Institute for Business and Economics (AIBE) and Centre for Efficiency and Productivity Analysis (CEPA)
WenBin Liu
Valentin Zelenyuk
论文数: 0引用数: 0
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机构:University of Nottingham,School of Economics, Australian Institute for Business and Economics (AIBE) and Centre for Efficiency and Productivity Analysis (CEPA)
Valentin Zelenyuk
Zhongbao Zhou
论文数: 0引用数: 0
h-index: 0
机构:University of Nottingham,School of Economics, Australian Institute for Business and Economics (AIBE) and Centre for Efficiency and Productivity Analysis (CEPA)
Zhongbao Zhou
Annals of Operations Research,
2017,
250
: 105
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127