The object of this paper is to test several familiar hypotheses about the relationship between the forward rates implied by the term structure and interest rate expectations, using the one ongoing systematic survey that samples market participants' expectations. The substitution of survey data...

Corporate credit lines are drawn more heavily when funding markets are more stressed. This covariance elevates expected bank funding costs. We show that credit supply is dampened by the associated debt-overhang cost to bank shareholders. Until 2022, this impact was reduced by linking the...

This paper studies the market price of credit risk incorporated into one of the most important credit spreads in the financial markets: interest rate swap spreads. Our approach consists of jointly modeling the swap and Treasury term structures using a general five-factor affine credit framework...

This paper develops a generalization of the formulas proposed by Kuttner (2001) and others for purposes of measuring the effects of a change in the fed funds target on Treasury yields of different maturities. The generalization avoids the need to condition on the date of the target change and...

We evaluate the classical Cox, Ingersoll and Ross (1985) (CIR) model using data on LIBOR, swap rates and caps and swaptions. With three factors the CIR model is able to fit the term structure of LIBOR and swap rates rather well. The model is able to match the hump shaped unconditional term...

First, we show that the interest rate on Federal funds is extremely informative about future movements of real macroeconomic variables, more so than monetary aggregates or other interest rates. Next, we argue that the reason for this forecasting is that the funds rate sensitively records shocks...

This paper presents a general, nonlinear version of existing multifactor models, such as Longstaff and Schwartz (1992). The novel aspect of our approach is that rather than choosing the model parameterization out of thin air,' our processes are generated from the data using approximation methods...