A Monte Carlo (MC) experiment is conducted to study the forecasting performance of a variety of volatility models under alternative data generating processes (DGPs). The models included in the MC study are the (Fractionally Integrated) Generalized Autoregressive Conditional Heteroskedasticity...

We study the well-known multiplicative Lognormal cascade process in which the multiplication of Gaussian and Lognormally distributed random variables yields time series with intermittent bursts of activity. Due to the non-stationarity of this process and the combinatorial nature of such a...

In this paper we empirically investigate the time- and state-dependent behavior of aggregate price setting. We implement a testing procedure by means of a nonparametric representation of the structural form New Keynesian Phillips curve. By means of the so-called functional coefficient regression...