This paper quantifies the impact of monetary policy shocks on asset markets in the United States and gauges the usefulness of a shadow short rate as a measure of conventional and unconventional monetary policy shocks. Monetary policy surprises are found to have had a larger impact on asset...

This article introduces an idea for summarizing of the stance of monetary policy with quantities derived from a class of yield curve models that respect the zero lower bound constraint for interest rates. The “economic stimulus measure” aggregates the current and estimated expected path of...

The Black framework offers a theoretically appealing way to model the term structure and gauge the stance of monetary policy when the zero lower bound of interest rates becomes constraining, but it is time consuming to apply using standard numerical methods. I outline a faster Monte Carlo...

Faster extended Kalman filter estimations of zero lower bound models of the term structure are possible if the analytic properties of the Jacobian matrix for the measurement equation are exploited. I show that such results are straighforward to incorporate, at least in Monte-Carlo-based...

When nominal interest rates are near their zero lower bound (ZLB), as in many developed economies at the time of writing, it is theoretically untenable to apply the popular class of Gaussian affine term structure models (GATSMs) given their inherent material probabilities of negative interest...

Using generalised variance decompositions from vector autoregressions, we analyse cross-country, cross-category spillovers of economic policy uncertainty (EPU) and financial market volatility between the US and Japan. Our model includes indices of monetary, fiscal and trade policy uncertainty...

This paper analyses the interdependence of policy uncertainty from 1985 to 2017 across six different categories of US economic policy: Monetary, fiscal, healthcare, national security, regulatory, and trade policy. To this end, we apply the Diebold and Yilmaz (2012, 2014) connectedness index...

We highlight how detrending within Structural Vector Autoregressions (SVAR) is directly linked to the shock identification. Consequences of trend misspecification are investigated using a prototypical Real Business Cycle model as the Data Generating Process. Decomposing the different sources of...

The deviance information criterion (DIC) has been widely used for Bayesian model comparison. However, recent studies have cautioned against the use of the DIC for comparing latent variable models. In particular, the DIC calculated using the conditional likelihood (obtained by conditioning on the...

This paper investigates the macroeconomic effects of fiscal policy in New Zealand using a structural Vector Autoregression (SVAR) model. The model is the five-variable structural vector autoregression (SVAR) framework proposed by Blanchard and Perotti (2005), further augmented to allow for the...