EBA对意大利经济的宏观经济前景有多严重?联合概率方法

M. Bonucchi, Michele Catalano
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引用次数: 1

摘要

宏观经济情景的严重程度的措施已在文献中广泛使用,但其计算的一致方法尚未发展。在此背景下,我们提供了一种计算观察宏观经济情景联合概率的一般方法,该方法可应用于各种结构模型。通过这样做,我们可以将概率附加到由多维经济模型产生的情景中,以比较它们的严重性和合理性。我们将我们的方法应用于2016年和2018年的EBA压力测试场景,我们还提供反向压力测试应用程序。我们的研究结果表明,对于意大利经济来说,2016年和2018年的EBA情景都不太可能,尤其是2016年的情景。反向压力测试允许我们识别影响概率的关键变量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
How Severe Are the EBA Macroeconomic Scenarios for the Italian Economy? A Joint Probability Approach
Measures of the severity of macroeconomic scenarios have been widely used in the literature, but a consistent methodology for their calculation has not been developed yet. Against this background, we provide a general method for calculating the joint probability of observing a macroeconomic scenario, which can be applied to a wide variety of structural models. By doing so, we can attach probabilities to scenarios produced with multidimensional economic models to compare their severity and plausibility. We apply our methodology to the 2016 and 2018 EBA stress test scenarios and we provide also reverse stress tests applications. Our results show that for the Italian economy both the 2016 and 2018 EBA scenarios are unlikely, especially the 2016 one. The reverse stress tests allow us to identify the key variables that affect our probabilities.
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