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Bayesian loss given default estimation for European sovereign bonds

机译:贝叶斯损失给出了欧洲主权债券的违约估计

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We develop and apply a Bayesian model for the loss rates given defaults (LGDs) of European Sovereigns. Financial institutions are in need of LGD forecasts under Pillar II of the regulatory Basel Accord and the downturn in LGD forecasts under Pillar I. Both are challenging for portfolios with a small number of observations such as sovereigns. Our approach comprises parameter risk and generates LGD forecasts under both regular and downturn conditions. With sovereign-specific rating information, we found that average LGD estimates vary between 0.46 and 0.64, while downturn estimates lay between 0.50 and 0.86. (C) 2020 International Institute of Forecasters. Published by Elsevier B.V. All rights reserved.
机译:我们为欧洲主权的违约率(LGDS)制定并申请贝叶斯模型。金融机构根据监管巴塞尔协议的支柱II下的LGD预测,并在Parkar I下的LGD预测中的低迷。两者都对投资组合有挑战性,较少的统一性的观察结果。我们的方法包括参数风险,并在常规和下滑条件下生成LGD预测。有了主权的评级信息,我们发现平均LGD估计值在0.46和0.64之间,而下滑估计介于0.50和0.86之间。 (c)2020国际预测研究所。由elsevier b.v出版。保留所有权利。

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