The appearance of negative bond yields presents significant challenges for the fixed income markets, which mainly concern related forecasting models. The Nelson-Siegel-Svensson model (NSS) is one of the models that is most frequently used by central banks to estimate the term structure of...

This study examines the pricing of municipal bonds before and after a currency shock in Switzerland. Two approaches are used to decompose the municipal to treasuries bond spreads into liquidity, maturity, and default risk premiums. The first approach is the model of the cross-sectional...

A consensus has recently emerged that a number of variables in addition to the level, slope, and curvature of the term structure can help predict interest rates and excess bond returns. We demonstrate that the statistical tests that have been used to support this conclusion are subject to very...

Theory predicts that the equilibrium real interest rate, r*t, and the perceived trend in inflation, ð*t, are key determinants of the term structure of interest rates. However, term structure analyses generally assume that these endpoints are constant. Instead, we show that allowing for time...

In the present paper we analyse whether fundamental macroeconomic factors, temporary influences or more structural factors have contributed to the recent decline in bond yields in the US. For that purpose, we start with a very general model of interest rate determination in which risk premia are...

Cochrane and Piazzesi (2005) show that (i) lagged forward rates improve the predictability of annual bond returns, adding to current forward rates, and that (ii) a Markovian model for monthly forward rates cannot generate the pattern of predictability in annual returns. These results stand as a...

I analyze time series momentum along the Treasury term structure. Past bond returns predict future returns both due to autocorrelation in bond risk premia and because unexpected bond return shocks increase the premium. Yield curve momentum is primarily due to autocorrelation in yield changes...

I provide evidence on the existence of unspanned macro risk. I investigate the usefulness of unspanned macro information for forecasting bond risk premia in a macro-finance term structure model from the perspective of a bond investor. I account for model uncertainty by combining forecasts with...

There is no consensus on whether macroeconomic fundamentals have any predictive power for bond risk premia, either unconditionally or conditionally over bond yields. Using Adaptive Group LASSO, a machine learning algorithm, we are able to construct a new, parsimonious macro variable that is...

A consensus has recently emerged that variables beyond the level, slope, and curvature of the yield curve can help predict bond returns. This paper shows that the statistical tests underlying this evidence are subject to serious small-sample distortions. We propose more robust tests, including a...