G2TT
来源类型Discussion paper
规范类型论文
来源IDDP14322
DP14322 Financial Variables as Predictors of Real Growth Vulnerability
Lucrezia Reichlin; Giovanni Ricco; Thomas Hasenzagl
发表日期2020-01-16
出版年2020
语种英语
摘要We evaluate the role of financial conditions as predictors of macroeconomic risk first in the quantile regression framework of Adrian et al. (2019b), which allows for non-linearities, and then in a novel linear semi-structural model as proposed by Hasenzagl et al. (2018). We distinguish between price variables such as credit spreads and stock variables such as leverage. We find that (i) although the spreads correlate with the left tail of the conditional distribution of GDP growth, they provide limited advanced information on growth vulnerability; (ii) nonfinancial leverage provides a leading signal for the left quantile of the GDP growth distribution in the 2008 recession; (iii) measures of excess leverage conceptually similar to the Basel gap, but cleaned from business cycle dynamics via the lenses of the semi-structural model, point to two peaks of accumulation of risks – the eighties and the first eight years of the new millennium, with an unstable relationship with business cycle chronology.
主题Monetary Economics and Fluctuations
关键词Financial cycle Business cycle Credit Financial crises Downside risk Entropy Quantile regressions
URLhttps://cepr.org/publications/dp14322
来源智库Centre for Economic Policy Research (United Kingdom)
资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/543214
推荐引用方式
GB/T 7714
Lucrezia Reichlin,Giovanni Ricco,Thomas Hasenzagl. DP14322 Financial Variables as Predictors of Real Growth Vulnerability. 2020.
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