This paper investigates how inflation expectations evolve. In particular, we analyze the time-varying nature of the propensity to update expectations and its potential determinants. For this purpose we set up a flexible econometric model that tracks the formation of inflation expectations of...

This paper investigates how inflation expectations evolve. In particular, we analyze the time-varying nature of the propensity to update expectations and its potential determinants. For this purpose we set up a flexible econometric model that tracks the formation of inflation expectations of...

This paper investigates how inflation expectations evolve. In particular, we analyze the time-varying nature of the propensity to update expectations and its potential determinants. For this purpose we set up a flexible econometric model that tracks the formation of inflation expectations of...

This paper investigates how inflation expectations evolve. In particular, we analyze the time-varying nature of the propensity to update expectations and its potential determinants. For this purpose we set up a flexible econometric model that tracks the formation of inflation expectations of...

We give an explicit PDE characterization for the solution of a robust utility maximization problem in an incomplete market model, whose volatility, interest rate process, and long-term trend are driven by an external stochastic factor process. The robust utility functional is defined in terms of...

In this paper we propose a Libor model with a high-dimensional specially structured system of driving CIR volatility processes. A stable calibration procedure which takes into account a given local correlation structure is presented. The calibration algorithm is FFT based, so fast and easy to...

We propose a stochastic control approach to the dynamic maximization of robust utility functionals that are defined in terms of logarithmic utility and a dynamically consistent convex risk measure. The underlying market is modeled by a diffusion process whose coefficients are driven by an...

In this paper, we develop and apply Bayesian inference for an extended Nelson- Siegel (1987) term structure model capturing interest rate risk. The so-called Stochastic Volatility Nelson-Siegel (SVNS) model allows for stochastic volatility in the underlying yield factors. We propose a Markov...

As an asset is traded, its varying prices trace out an interesting time series. The price, at least in a general way, reflects some underlying value of the asset. For most basic assets, realistic models of value must involve many variables relating not only to the individual asset, but also to...

The Heston model stands out from the class of stochastic volatility (SV) models mainly for two reasons. Firstly, the process for the volatility is nonnegative and mean-reverting, which is what we observe in the markets. Secondly, there exists a fast and easily implemented semi-analytical...