In this paper we investigate transmission and spillovers of local and foreign economic policy uncertainty shocks to unemployment in two largest economic regions in the world - the United States (US) and the Euro area (EA). For this purpose we deploy Bayesian Markov-switching structural vector...

This study utilizes a time-varying parameter Bayesian vector autoregressive model to investigate the dynamic interactions between geopolitical risk (GPR) and renewable energy consumption growth (RECG). The identification strategy is flexible to accommodate cases both with and without sign...

Uncertainty is acknowledged to be a source of economic fluctuations. But, does the type of uncertainty matter for the economy's response to an uncertainty shock? This paper offers a novel identification strategy to disentangle different types of uncertainty. It uses machine learning techniques...

We construct a new index of uncertainty — the World Uncertainty Index (WUI) — for 143 individual countries on a quarterly basis from 1996 onwards. This is defined using the frequency of the word “uncertainty” in the quarterly Economist Intelligent Unit country reports. Globally, the...

We develop robust models for optimization of the VaR and CVaR risk measures with a minimum expected return constraint under joint ambiguity in distribution, mean returns, and covariance matrix. We formulate models for ellipsoidal, polytopic, and interval ambiguity sets of the means and...

Building on the growing evidence on the importance of large data sets for empirical macroe-conomic modeling, we estimate a large-scale FAVAR model for 18 OECD member countries. We quantify the global effects of economic policy uncertainty shocks and check whether the signs, the magnitude, and...

Building on the growing evidence on the importance of large data sets for empirical macroeconomic modeling, we estimate a large-scale FAVAR model for 18 OECD member countries. We quantify the global effects of economic policy uncertainty shocks and check whether the signs, the magnitude, and the...

Building on the growing evidence on the importance of large data sets for empirical macroeconomic modeling, we estimate a large-scale FAVAR model for 18 OECD member countries. We quantify the global effects of economic policy uncertainty shocks and check whether the signs, the magnitude, and the...

Mit Hilfe von generalisierten Varianzdekompositionen aus Vektorautoregressionen untersuchen wir länder- und kategorieübergreifende Unsicherheits-Spillover-Effekte zwischen den USA und Japan. Dabei betrachten wir sowohl wirtschaftspolitische Unsicherheit (WPU) als auch Finanzmarktvolatilität....

This paper provides new indices of global macroeconomic uncertainty and investigates the cross-country transmission of uncertainty using a global vector autoregressive (GVAR) model. The indices measure the dispersion of forecasts that results from parameter uncertainty in the GVAR. Relying on...