Using a generalized vector autoregressive framework in which forecast-error variance decompositions are invariant to variable ordering, we propose measures of both total and directional volatility spillovers. We use our methods to characterize daily volatility spillovers across U.S. stock, bond,...

Imposing cointegration on a forecasting system, if cointegration is present, is believed to improve long-horizon forecasts. Contrary to this belief, at long horizons nothing is lost by ignoring cointegration when the forecasts are evaluated using standard multivariate forecast accuracy measures....

The literature has so far focused on the risk-return tradeoff in equity markets and ignored alternative risky assets. This paper is the first to examine the presence and significance of an intertemporal relation between expected return and risk in the foreign exchange market. The paper provides...

This article analyzes the relationship between export competitiveness and investment in machinery, allowing for imperfect substitution between domestically produced and imported machinery. A trans log export price function is estimated for developed, export oriented developing, and import...

We estimate a large Bayesian time-varying parameter vector autoregressive (TVP-VAR) model of daily stock return volatilities for 35 U.S. and European financial institutions. Based on that model we extract a connectedness index in the spirit of Diebold and Yilmaz (2014) (DYCI). We show that the...