Non-stationary Financial Risk Factors and Macroeconomic Vulnerability for the UK

Katalin Varga, Tibor Szendrei
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Abstract

Tracking the build-up of financial vulnerabilities is a key component of financial stability policy. Due to the complexity of the financial system, this task is daunting, and there have been several proposals on how to manage this goal. One way to do this is by the creation of indices that act as a signal for the policy maker. While factor modelling in finance and economics has a rich history, most of the applications tend to focus on stationary factors. Nevertheless, financial stress (and in particular tail events) can exhibit a high degree of inertia. This paper advocates moving away from the stationary paradigm and instead proposes non-stationary factor models as measures of financial stress. Key advantage of a non-stationary factor model is that while some popular measures of financial stress describe the variance-covariance structure of the financial stress indicators, the new index can capture the tails of the distribution. To showcase this, we use the obtained factors as variables in a growth-at-risk exercise. This paper offers an overview of how to construct non-stationary dynamic factors of financial stress using the UK financial market as an example.
英国的非稳态金融风险因素和宏观经济脆弱性
跟踪金融脆弱性的积累是金融稳定政策的关键组成部分。由于金融体系的复杂性,这项任务是艰巨的,关于如何实现这一目标,已经提出了若干建议。其中一种方法是创建指数,作为政策制定者的信号。虽然金融和经济学中的因子建模有着丰富的历史,但大多数应用都倾向于关注静态因子。然而,金融压力(尤其是尾部事件)可能表现出高度的惯性。本文主张摒弃静态范式,转而提出非静态因子模型来衡量金融压力。非平稳因子模型的主要优势在于,尽管一些流行的金融压力度量方法描述的是金融压力指标的方差-协方差结构,但新指数可以捕捉到分布的尾部。为了展示这一点,我们在风险增长练习中使用了所获得的因子作为变量。本文以英国金融市场为例,概述了如何构建金融压力的非平稳动态因子。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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