Identifying Threshold Effects in Credit Risk Stress Testing /

Using data from Argentina, Australia, Colombia, El Salvador, Peru, and the United States, we identify three types of threshold effects when assessing the impact of economic activity on nonperforming loans (NPLs). For advanced financial systems showing low NPLs, there is an embedded self-correcting a...

詳細記述

書誌詳細
第一著者: Mendez Morales, Armando
その他の著者: Gasha, Jose
フォーマット: 雑誌
言語:English
出版事項: Washington, D.C. : International Monetary Fund, 2004.
シリーズ:IMF Working Papers; Working Paper ; No. 2004/150
オンライン・アクセス:Full text available on IMF
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520 3 |a Using data from Argentina, Australia, Colombia, El Salvador, Peru, and the United States, we identify three types of threshold effects when assessing the impact of economic activity on nonperforming loans (NPLs). For advanced financial systems showing low NPLs, there is an embedded self-correcting adjustment when NPLs exceed a minimum threshold. For financial systems in emerging markets in Latin America showing higher NPLs, there is instead a magnifying effect once NPLs cross a (higher) threshold. GDP growth apparently affects NPLs only below a certain threshold, which is consistent with observed lower elasticity of credit risk to changes in economic activity in boom periods. 
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700 1 |a Gasha, Jose. 
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