This paper puts forward a Bayesian version of the global vector autoregressive model (B-GVAR) that accommodates international linkages across countries in a system of vec-tor autoregressions. We compare the predictive performance of B-GVAR models for the one- and four-quarter ahead forecast...

This work investigates effects of conventional monetary policy and central bank information shocks from monetary policy announcements on the U.S. economy. We identify the surprises caused by changes in target rate and central bank’s private information embedded in high frequency exchange rate...

I study the pricing of American Depositary Receipts around FOMC meetings to identify the impact of US monetary policy on managed exchange rates. ADR investors assess the domestic central bank’s reluctance to maintain a currency peg regime if the costs of mimicking policy rate increases in the...

Evidence on the effectiveness of FX interventions in the prevailing higher frequency approaches leaves a gap at horizons going beyond a few days. This is addressed by identifying a structural vector autoregressive model for the daily frequency with an external instrument. Using Japanese data, we...

This paper investigates how the ordering of variables affects properties of the time-varying covariance matrix in the Cholesky multivariate stochastic volatility model. It establishes that systematically different dynamic restrictions are imposed when the ratio of volatilities is time-varying....