Economic Vulnerability Is State Dependent

31 Pages Posted: 20 Apr 2021 Last revised: 29 Jan 2023

See all articles by Leopoldo Catania

Leopoldo Catania

Aarhus University - School of Business and Social Sciences; Aarhus University - CREATES

Alessandra Luati

Imperial College London - Department of Mathematics; University of Bologna - Department of Statistics

Pierluigi Vallarino

Aarhus University - School of Business and Social Sciences; Aarhus University - CREATES

Date Written: April 7, 2021

Abstract

This paper studies the impact of different levels of stress in the financial system on the real economy. The analysis shows that when financial conditions deteriorate from a situation of relative stability, the economic outlook becomes more pessimistic and uncertain. No increase in macroeconomic uncertainty is expected when financial conditions worsen from an already tighter than usual situation.

Additionally, past information on GDP growth turns out to be of crucial importance when it comes to studying and predicting economic vulnerability. Both findings have relevant forecasting and policy-making implications, and remain valid once other measures of the real economic activity are considered. The analysis relies on a new methodology for the dynamic modelling of multiple quantiles in the presence of an explanatory variable. This new approach exploits all past information on GDP growth and can accommodate a state dependent marginal effect of financial conditions.

Keywords: Economic Vulnerability, Macro-Financial Linkages, Growth-at-Risk, Score Driven Models

Suggested Citation

Catania, Leopoldo and Luati, Alessandra and Vallarino, Pierluigi, Economic Vulnerability Is State Dependent (April 7, 2021). Available at SSRN: https://ssrn.com/abstract=3821668 or http://dx.doi.org/10.2139/ssrn.3821668

Leopoldo Catania (Contact Author)

Aarhus University - School of Business and Social Sciences ( email )

Fuglesangs Allé 4
Aarhus V, DK-8210
Denmark
+4587165536 (Phone)

HOME PAGE: http://pure.au.dk/portal/en/leopoldo.catania@econ.au.dk

Aarhus University - CREATES ( email )

School of Economics and Management
Building 1322, Bartholins Alle 10
DK-8000 Aarhus C
Denmark

Alessandra Luati

Imperial College London - Department of Mathematics ( email )

South Kensington Campus
Imperial College
LONDON, SW7 2AZ
United Kingdom

HOME PAGE: http://https://www.imperial.ac.uk/people/a.luati

University of Bologna - Department of Statistics ( email )

via Belle Arti 41
Bologna, 40126
Italy

HOME PAGE: http://https://www.unibo.it/sitoweb/alessandra.luati/en

Pierluigi Vallarino

Aarhus University - School of Business and Social Sciences ( email )

Nordre Ringgade 1
Aarhus C, DK-8000
Denmark

Aarhus University - CREATES ( email )

School of Economics and Management
Building 1322, Bartholins Alle 10
DK-8000 Aarhus C
Denmark

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