This study applies machine learning methods to predict the Canadian yield curve using a comprehensive set of macroeconomic variables. Lagged values of the yield curve and a wide array of Canadian and international macroeconomic variables are utilized across various machine learning models....

We use a proprietary dataset of daily quotations of individual bonds from the period 2005-2018 to assess the appropriateness of three common yield curve intrapolation methods: Nelson-Siegel (NS), Diebold-Li (DL) and cubic splines. Spot (zero-coupon) yield curves derived from the methods are used...

We show that the stock market price reaction to monetary policy surprises upon announcements of the Federal Open Market Committee (FOMC) is explained mostly by changes in the default-free term structure of yields, not by changes in the equity premium. We reach this conclusion based on a new...