We propose an extended SVAR model to investigate the responses of the macroeconomic volatility to financial uncertainty shocks. The empirical model features the time-varying stochastic volatility-in-mean process where parameters allow for (i) the bilateral simultaneity between the shocks hitting the level and volatility of the endogenous variables, and (ii) the feedback from the endogenous variables to the volatility. Using the U.S. data, our findings show that macroeconomic volatility arises as an endogenous response to a rise in financial uncertainty. Moreover, shutting down the volatility feedback leads financial uncertainty shocks to react more strongly to macroeconomic variables. Consequently, the effects of financial uncertainty on ma...
Financial markets are central to the transmission of uncertainty shocks. This paper\ud documents a n...
We propose a new model for measuring uncertainty and its effects on the economy, based on a large ve...
This paper provides an extensive analysis of the predictive ability of financial volatility measures...
We propose an extended SVAR model to investigate the responses of the macroeconomic volatility to fi...
We propose a nonrecursive identification scheme for uncertainty shocks that exploits breaks in the v...
We propose a nonrecursive identification scheme for uncertainty shocks that exploits breaks in the v...
We propose a large-scale Bayesian VAR model with factor stochastic volatility to investigate the mac...
We propose a non-recursive identification scheme for uncertainty shocks which exploits breaks in the...
We propose a new model for measuring uncertainty and its effects on the economy, based on a large ve...
We propose a new model for measuring uncertainty and its effects on the economy, based on a large ve...
The paper investigates the effects of uncertainty shocks in emerging economies (EMEs). We construct ...
We develop a structural vector autoregression with stochastic volatility in which one of the variabl...
We develop a structural vector autoregression with stochastic volatility in which one of the variabl...
In this paper, we estimate a Bayesian vector autoregressive (VAR) model with factor stochastic volat...
We explore empirically the transmission of U.S. financial and macroeconomic uncertainty to emerging ...
Financial markets are central to the transmission of uncertainty shocks. This paper\ud documents a n...
We propose a new model for measuring uncertainty and its effects on the economy, based on a large ve...
This paper provides an extensive analysis of the predictive ability of financial volatility measures...
We propose an extended SVAR model to investigate the responses of the macroeconomic volatility to fi...
We propose a nonrecursive identification scheme for uncertainty shocks that exploits breaks in the v...
We propose a nonrecursive identification scheme for uncertainty shocks that exploits breaks in the v...
We propose a large-scale Bayesian VAR model with factor stochastic volatility to investigate the mac...
We propose a non-recursive identification scheme for uncertainty shocks which exploits breaks in the...
We propose a new model for measuring uncertainty and its effects on the economy, based on a large ve...
We propose a new model for measuring uncertainty and its effects on the economy, based on a large ve...
The paper investigates the effects of uncertainty shocks in emerging economies (EMEs). We construct ...
We develop a structural vector autoregression with stochastic volatility in which one of the variabl...
We develop a structural vector autoregression with stochastic volatility in which one of the variabl...
In this paper, we estimate a Bayesian vector autoregressive (VAR) model with factor stochastic volat...
We explore empirically the transmission of U.S. financial and macroeconomic uncertainty to emerging ...
Financial markets are central to the transmission of uncertainty shocks. This paper\ud documents a n...
We propose a new model for measuring uncertainty and its effects on the economy, based on a large ve...
This paper provides an extensive analysis of the predictive ability of financial volatility measures...