Country credit risk determinants with model uncertainty

被引:24
|
作者
Maltritz, Dominik [1 ]
Molchanov, Alexander [2 ]
机构
[1] Univ Erfurt, Fac Econ Law & Social Sci, Erfurt, Germany
[2] Massey Univ, Sch Econ & Finance, Auckland, New Zealand
关键词
Bayesian Model Averaging; Default risk; STOCK RETURN PREDICTABILITY; DEBT SERVICING CAPACITY; GOLD STANDARD; YIELD SPREADS; DEFAULT; GROWTH; MARKETS; BALANCE; PRIORS; EMU;
D O I
10.1016/j.iref.2013.05.018
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
We analyze the economic and political determinants of country credit risk in both developed and emerging economies by using sovereign yield spreads as risk indicators. We document a high degree of model uncertainty and apply Bayesian Model Averaging to deal with this issue. GDP growth and external debt to GDP ratio are highly likely to influence default risk in emerging and developed economies. Inflation, import growth, openness, and trade freedom are additionally relevant in developed economies, whereas developing countries default risk is also influenced by debt service ratio, history of recent defaults, and the ratio of foreign exchange reserves to imports. (C) 2013 Elsevier Inc. All rights reserved.
引用
收藏
页码:224 / 234
页数:11
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