Banking, debt, and currency crises in developed countries: Stylized facts and early warning indicators

被引:82
|
作者
Babecky, Jan [1 ]
Havranek, Tomas [1 ,2 ]
Mateju, Jakub [1 ,3 ]
Rusnak, Marek [1 ,2 ]
Smidkova, Katerina [1 ,2 ]
Vasicek, Borek [1 ]
机构
[1] Czech Natl Bank, Res Dept, Prague 11503 1, Czech Republic
[2] Charles Univ Prague, Inst Econ Studies, Prague 11000 1, Czech Republic
[3] CERGE EI, Prague 11121 1, Czech Republic
关键词
Crises; Developed countries; Early warning indicators; Bayesian model averaging; Macro prudential policies; MODEL UNCERTAINTY; LEADING INDICATORS; EMERGING MARKETS; GRAPHICAL MODELS; BALANCE; GROWTH; DETERMINANTS; SELECTION;
D O I
10.1016/j.jfs.2014.07.001
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
We construct and explore a new quarterly dataset covering crisis episodes in 40 developed countries over 1970-2010. First, we present stylized facts on banking, debt, and currency crises. Using panel vector autoregression we find that banking and debt crises are interrelated and both typically precede currency crises, but not vice versa. Banking crises are the most costly in terms of the overall output loss, and output takes about six years to recover. Second, on a reduced sample we try to identify early warning indicators of crises specific to developed economies, accounting for model uncertainty by means of Bayesian model averaging. The most consistent result across the various specifications and time horizons is that significant growth of domestic private credit precedes banking crises, while rising money market rates and global corporate spreads are also leading indicators worth monitoring. For currency crises, we also corroborate the role of rising domestic private credit and money market rates and detect the relevance of domestic currency overvaluation. The role of other indicators differs according to the type of crisis and the warning horizon selected, but it mostly seems easier to find reliable predictors at a horizon shorter than two years. Early warning indicators of debt crises are difficult to uncover due to the low occurrence of such episodes in our dataset. We also employ a signaling approach to derive the threshold value for the best single indicator (domestic private credit), and finally we provide a composite early warning index that further increases the usefulness of the model. (c) 2014 Elsevier B.V. All rights reserved.
引用
收藏
页码:1 / 17
页数:17
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