We develop an asset-pricing model with endogenous corporate policies that explains how inflation jointly impacts real asset prices and corporate default risk. Our model includes two empirically grounded nominal frictions: fixed nominal coupons and sticky profitability. Taken together, these two...

In this paper, we set the basis for learning a multitype assets portfolio management technique relying on no assumptions over the distributions of the financial data. The neural network based model tries to capture patterns in the evolution of the market. Furthermore, the model allows a...

The extended Kalman filter, which linearizes the relationship between security prices and state variables, is widely used in fixed income applications. We investigate if the unscented Kalman filter should be used to capture nonlinearities, and compare the performance of the Kalman filter to that...

Given equity’s convex payoff function, shareholders can transfer wealth from bondholders by increasing firm risk. We test the existing hypothesis that convertible debt reduces this classical agency problem of risk-shifting. First, we derive a measure of shareholders’ risk incentives induced...

Given equity's convex payoff function, shareholders can transfer wealth from bondholders by increasing firm risk. We test the existing hypothesis that convertible debt reduces this classical agency problem of risk-shifting. First, we derive a measure of shareholders' risk incentives induced by...

When the relationship between security prices and state variables in dynamic term structure models is nonlinear, existing studies usually linearize this relationship because nonlinear fi?ltering is computationally demanding. We conduct an extensive investigation of this linearization and analyze...

We provide a formulation of stochastic volatility (SV) based on Gaussian process regression (GPR). Forecasting volatility out-of-sample, both simulation and empirical analyses show that our GPR-based stochastic volatility (GPSV) model clearly outperforms SV and GARCH benchmarks, especially at...