predictive power of disagreement amongst forecasters. The premise is that this variable could signal upcoming structural or … variety of macroeconomic variables, and we use different measurements for the degree of disagreement, together with measures … compared on forecast accuracy. We find that disagreement has predictive power indeed and that this variable can be used to …

In this paper we compare the predictive abilility of Stochastic Volatility (SV)models to that of volatility forecasts … implied by option prices. We develop anSV model with implied volatility as an exogeneous var able in the varianceequation … stochastic shocks incorporated in the SVXmodels. The out-of-sample volatility forecasts are evaluated against dailysquared …

See also the article 'Mean and bold: on separating merger economies from structural efficiency gains in the drinking … benchmarking aimed to increase the efficiency and effectiveness of the sector. Secondly, merger activity arose. This paper develops … merger economies into scale economies and increased incentives to fight inefficiencies. Although we detect a significant …

liquidity shock, separating information maximum likelihood estimation of the integrated volatility and covariance with micro … illustrations, EVT and tail-risk modelling, with evidence from market indices and volatility series, the economics of data using … simple model free volatility in a high frequency world, arbitrage-free implied volatility surfaces for options on single …

This paper analyzes two indexes in order to capture the volatility inherent in El Niños Southern Oscillations (ENSO … suitable for modelling ENSO volatility accurately, and that 1998 is a turning point, which indicates that the ENSO strength has …

in the daily retail price for gasoline (taxes excluded) for the period 1996-2004 taking care of volatility clustering by … estimating an EGARCH model. It turns out the volatility process is asymmetrical: an unexpected increase in the producer price has …