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...

Operating monetary policy when interest rates are already at or near zero comes with many challenges, as many countries have discovered in recent years. One aspect is that, if effective easing beyond a zero policy rate is desired, the policy rate constrained at zero will no longer conveniently...

With nominal interest rates near the zero lower bound (ZLB) in many major economies, it is theoretically untenable to apply Gaussian affine term structure models (GATSMs) while ignoring their inherent material probabilities of negative interest rates. I propose correcting that deficiency by...

I propose a simple framework that quantities the stance of monetary policy as a "shadow short rate" when interest rates are near the zero lower bound. The framework is shown to be a close approximation to the Black (1995) framework for modelling the term structure subject to a zero-lower-bound...

We forecast economic growth in New Zealand using yield curve data within simple statistical models; i.e. typical OLS relationships that have been well-established for other countries, and related VAR specifcations. We find that the yield curve data has significant forecasting power in absolute...

This article establishes that most models within the popular and widely used Nelson and Siegel (1987, hereafter NS) class, with one notable exception being the Svensson (1995) variant, are effectively reduced-form representations of the generic Gaussian affine term structure model outlined in...

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...