Ei ole eesti keeles kättesaadav
Leonardo Urrutia
- 13 January 2026
- WORKING PAPER SERIES - No. 3171Details
- Abstract
- We investigate the impact of structural shocks on the joint distribution of future real GDP growth and inflation in the euro area. We model the conditional mean of these variables, along with selected financial indicators, using a VAR and perform quantile regressions on the VAR residuals to estimate their time-varying variance as a function of macroeconomic and financial variables. Through impulse response analysis, we find that demand and financial shocks reduce expected GDP growth and increase its conditional variance, leading to negatively skewed future growth distributions. By enabling this mean-volatility interaction, demand and financial shocks drive significant time variation in downside risk to euro area GDP growth, while supply shocks result in broadly symmetric movements. For inflation, supply shocks drive instead a positive mean-volatility co-movement, where higher inflation is associated with increased uncertainty, causing time variation in upside risk.
- JEL Code
- C32 : Mathematical and Quantitative Methods→Multiple or Simultaneous Equation Models, Multiple Variables→Time-Series Models, Dynamic Quantile Regressions, Dynamic Treatment Effect Models, Diffusion Processes
C58 : Mathematical and Quantitative Methods→Econometric Modeling→Financial Econometrics
E32 : Macroeconomics and Monetary Economics→Prices, Business Fluctuations, and Cycles→Business Fluctuations, Cycles
G17 : Financial Economics→General Financial Markets→Financial Forecasting and Simulation