We document an inverse relation between stock-bond correlations and correlations of growth and inflation. We find that rising inflation uncertainty lowers stock prices but can either lower or raise nominal bond prices depending on whether inflation is counter- or procyclical. We show that the...

We show that the difference between the natural rate of interest and the current level of monetary policy stance, which we label Convergence Gap (CG), contains information that is valuable for bond predictability. Adding CG in forecasting regressions of bond excess returns significantly raises...

Central-bank collateral policy governs the convertibility of assets into central-bank money provided directly by the central bank. Focusing on government bonds, we develop clean identification of variation in such convertibility by exploiting differential treatment of same-country government...

We identify local and global factors across international bond markets that are poorly spanned by the traditional level, slope and curvature factors but have strong forecasting power for future bond excess returns. Local and global factors are jointly significant predictors of bond returns,...

We use the term structure of spreads between rates on interest rate swaps indexed to LIBOR and overnight indexed swaps to infer a term structure of interbank risk. Using a dynamic term structure model, we decompose the term structure of interbank risk into default and non-default components. We...

We introduce the class of linear-rational term structure models in which the state price density is modeled such that bond prices become linear-rational functions of the factors. This class is highly tractable with several distinct advantages: i) ensures nonnegative interest rates, ii) easily...

We present a non-parametric method to estimate the discount curve from market quotes based on the Moore-Penrose pseudoinverse. The discount curve reproduces the market quotes perfectly, has maximal smoothness, and is given in closed-form. The method is easy to implement and requires only basic...

We introduce a robust, flexible and easy-to-implement method for estimating the yield curve from Treasury securities. This method is non-parametric and optimally learns basis functions in reproducing Hilbert spaces with an economically motivated smoothness reward. We provide a closed-form...

We incorporate a latent stochastic volatility factor and macroeconomic expectations in an affine model for the term structure of nominal and real rates. We estimate the model over 1999-2016 on U.S. data for nominal and TIPS yields, the realized and implied volatility of T-bonds and survey...

Nominal yields can be expressed as the sum of an expectation, term premium, and convexity component, and in turn of their real and inflation counterparts. We extract these terms from the yield curve of the U.S., Euro Area, U.K., and Japan using a term structure model that explicitly captures the...