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Threshold effects of liquidity risk and credit risk on bank stability in the MENA region

机译:梅纳地区银行稳定性流动性风险与信用风险的阈值影响

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This paper studies the relationships between both liquidity and credit risks on bank stability for a panel data set of 75 conventional banks belonging to 11 countries of the MENA region observed during the period 1999-2017. By performing a Panel Smooth Threshold Regression (PSTR) model developed by Gonzalez et al. (2005), estimation results show that the relationships between bank stability-credit risk and bank stability-liquidity risk are non-linear and characterized by the presence of two optimal thresholds which are equal to 13.16% for credit risk and 19.03% for liquidity risk. Contrary to their positive effects below these optimal thresholds, credit risk and liquidity risk become detrimental to bank stability in high regime.To ensure their stability, banks are encouraged to revise the primacy given to credit activity and diversify their activities to improve profitability. They are also recommended to strengthen their own funds and opt for appropriate restructuring to ease their small size. As for the States of the selected countries, they have to deeply reform their financial systems and develop the legal framework relating to new techniques of external management of banking risks including securitization and defeasance. Likewise, these states are fortified to ensure political stability, which is a key factor for banking and financial stability. (C) 2020 The Society for Policy Modeling. Published by Elsevier Inc. All rights reserved.
机译:本文研究了在1999-2017期间观察到的75个常规银行的35个常规银行的小组数据集的银行数据集之间的流动性和信用风险之间的关系。通过执行由Gonzalez等人开发的面板平滑阈值回归(PSTr)模型。 (2005),估计结果表明,银行稳定性 - 信贷风险与银行稳定性风险之间的关系是非线性的,其特征在于存在两个最佳阈值,这是信贷风险的13.16%,流动性风险为19.03% 。符合其低于这些最佳阈值的积极影响,信贷风险和流动性风险在高政权中对银行稳定性变得有害。确保他们的稳定,鼓励银行修改信贷活动的原始,并使其活动多样化以提高盈利能力。还建议他们加强自己的资金,并选择适当的重组,以缓解其体积小。至于所选国家的国家,他们必须深入改革其金融制度,并制定与银行风险的外部管理新技术有关的法律框架,包括证券化和丧失。同样,这些国家被强化以确保政治稳定,这是银行业和金融稳定的关键因素。 (c)2020年政策建模协会。由elsevier Inc.出版的所有权利保留。

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