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...

We study how monetary policy and risk shocks affect asset prices in the US, the euro area, and Japan, differentiating between "traditional" monetary policy and communication events, each decomposed into "pure" and information shocks. Communication shocks from the US spill over to risk in the...