• Media type: E-Book
  • Title: Assessing Macroeconomic Tail Risk
  • Contributor: Loria, Francesca [VerfasserIn]; Matthes, Christian [VerfasserIn]; Zhang, Donghai [VerfasserIn]
  • imprint: [S.l.]: SSRN, [2022]
  • Extent: 1 Online-Ressource (47 p)
  • Language: English
  • DOI: 10.2139/ssrn.4002665
  • Identifier:
  • Keywords: Macroeconomic Risk ; Shocks ; Local Projections
  • Origination:
  • Footnote: Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments January 6, 2022 erstellt
  • Description: Real GDP and industrial production in the US feature substantial tail risk. While this fact is well documented, several questions remain unanswered. Is this asymmetry driven by a specific structural shock? No. We show that the 10th percentile of the predictive growth distributions responds about three times more than the median to \emph{both} monetary policy and financial shocks. What mechanism can generate this asymmetry in the data? We discuss nonlinear VAR models and a nonlinear equilibrium model that are capable of matching our empirical findings. Furthermore, we provide empirical evidence that allows us to differentiate between two competing theories
  • Access State: Open Access