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Macro Stress Testing Credit Risk: Case of Madagascar Banking Sector
Journal of Central Banking Theory and Practice Pub Date : 2020-05-01 , DOI: 10.2478/jcbtp-2020-0020
Miora Rakotonirainy 1 , Jean Razafindravonona 2 , Christian Rasolomanana 2
Affiliation  

Abstract This study proposes to assess the vulnerability of banking sector’s credit portfolio under macroeconomic shocks and to evaluate its impact on banking system capitalization. Our method uses the Global Vector Autoregressive (GVAR) Model to generate adverse macroeconomic scenarios. The GVAR model is combining by the satellite credit risk equation to find the non-performing loan under stress conditions. The advantage of using GVAR model is that on the one hand, it captures the transmission of global, external and domestic macroeconomic shocks on banks non-performing loans. On the other hand, this model considers the nonlinear pattern between business cycle and the bank credit risk indicator during the extreme events as highlighting by the macro stress test literature. The forecast of non-performing loan is then used to obtain stress projections for capital requirement for the banking system level. This article attempts to fill the lacks concerning the stress testing works about Madagascar which study is a recent framework, whose no study on dynamic macro stress testing was treated before. The Results outline the interaction of aggregate non-performing loan with macroeconomic evolution. The horizon of capital prediction shows that banking sector reacts most to a GDP shock. Also, Madagascar banking sector is quite resilient and remains sufficiently capitalized under all macroeconomic scenarios designed with a solvency ratio higher than the minimum regulatory CAR ratio.

中文翻译:

宏观压力测试信用风险:马达加斯加银行业案例

摘要本研究旨在评估宏观经济冲击下银行业信贷组合的脆弱性,并评估其对银行体系资本化的影响。我们的方法使用全球向量自回归(GVAR)模型来生成不利的宏观经济情景。GVAR模型通过卫星信用风险方程进行组合,以找到在压力条件下的不良贷款。使用GVAR模型的优势在于,一方面,它捕获了全球,外部和国内宏观经济冲击对银行不良贷款的传导。另一方面,该模型将极端事件期间商业周期与银行信用风险指标之间的非线性模式视为宏观压力测试文献所强调的内容。然后,将不良贷款的预测用于获得银行系统级资本需求的压力预测。本文试图弥补有关马达加斯加的压力测试工作的不足,该研究是一个最近的框架,以前没有对动态宏观压力测试进行过研究。结果概述了不良贷款总额与宏观经济演变的相互作用。资本预测的范围表明,银行业对GDP冲击的反应最大。此外,马达加斯加的银行业相当有弹性,并且在所有设计为偿付能力比高于最低监管资本充足率的宏观经济情景下,仍具有足够的资本。本文试图弥补有关马达加斯加的压力测试工作的不足,该研究是一个最近的框架,以前没有对动态宏观压力测试进行过研究。结果概述了不良贷款总额与宏观经济演变的相互作用。资本预测的范围表明,银行业对GDP冲击的反应最大。此外,马达加斯加银行业具有相当强的弹性,并且在所有宏观经济情景下设计的偿付能力比都高于最低监管资本充足率,因此资本充足。本文试图弥补有关马达加斯加的压力测试工作的不足,该研究是一个最近的框架,以前没有对动态宏观压力测试进行过研究。结果概述了不良贷款总额与宏观经济演变的相互作用。资本预测的范围表明,银行业对GDP冲击的反应最大。此外,马达加斯加的银行业相当有弹性,并且在所有设计为偿付能力比高于最低监管资本充足率的宏观经济情景下,仍具有足够的资本。资本预测的范围表明,银行业对GDP冲击的反应最大。此外,马达加斯加的银行业相当有弹性,并且在所有设计为偿付能力比高于最低监管资本充足率的宏观经济情景下,仍具有足够的资本。资本预测的范围表明,银行业对GDP冲击的反应最大。此外,马达加斯加的银行业相当有弹性,并且在所有设计为偿付能力比高于最低监管资本充足率的宏观经济情景下,仍具有足够的资本。
更新日期:2020-05-01
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