This paper develops two conditionally heteroscedastic models which allow an asymmetric reaction of the conditional volatility to the arrival of news. Such a reaction is induced by both the sign of past shocks and the size of past unexpected volatility. The proposed models are shown to converge...

Industrial production is analysed for three countries. A GARCH framework is employed to model the conditional variances of the cycles, which are found to react asymmetrically to shocks of opposite sign; one of the three cases exhibits long-memory features. The ability of GARCH models at...

The paper investigates whether the impact of selected news - scheduled and un-scheduled - affects only the current conditional variance of financial prices or, by bringing new information to the market, induces also a revision of the implied variance, i.e. the variance expected to prevail over...

Does capital markets uncertainty affect the business cycle? We find that financial volatility predicts 30% of post-war economic activity in the United States, and that during the Great Moderation, aggregate stock market volatility explains, alone, up to 55% of real growth. In out- of-sample...

Aim of this article is to judge the empirical performance of 'ARCH models as diffusion approximations' of models of the short-term rate with stochastic volatility. Our estimation strategy is based both on moment conditions needed to guarantee the convergence of the discrete time models and on...

This paper uses Garch models to estimate the objective and risk-neutral density functions of financial asset prices and, by comparing their shapes, recover detailed information on economic agents' attitudes toward risk. It differs from recent papers investigating analogous issues because it uses...