Showing 1 - 10 of 3,012
variancefunctions. In a genuine out-of-sample forecasting experiment theperformance of the best fitted asMA-asQGARCH model is compared … topure asMA and no-change forecasts. This is done both in terms ofconditional mean forecasting as well as in terms of risk … forecasting. …
Persistent link: https://www.econbiz.de/10011303289
forecasting volatility model with the most appropriate error distribution. The results suggest the presence of leverage effect … forecasting model that could guarantee a sound policy decisions. …
Persistent link: https://www.econbiz.de/10011489480
The Multiplicative Error Model introduced by Engle (2002) for non-negative valued processes is specified as the product of a (conditionally autoregressive) scale factor and an innovation process with positive support. In this paper we propose a multivariate extension of such a model, by taking...
Persistent link: https://www.econbiz.de/10005731544
Fat tails of q-Gaussian distributions of daily log-leverage-returns of 520 North American industrial firms reported by Katz and Tian (2013) imply a significantly higher credit risk at short time-horizons and/or large initial distances to the default barrier than forecasted by traditional...
Persistent link: https://www.econbiz.de/10013072548
negative impact on the economic variables for the euro area. We also perform a forecasting analysis, where we assess the merits … of uncertainty indicators for forecasting industrial production, employment and the stock market, using different … models including the original financial uncertainty index in terms of forecasting. …
Persistent link: https://www.econbiz.de/10012792745
This study estimated Asymmetric generalized autoregressive conditional heteroscadasticity models with endogenous break dummy on two innovation assumptions using daily all share index of Nigeria, Kenya, United States, Germany, South Africa and China spanning from February 14, 2000 to February 14,...
Persistent link: https://www.econbiz.de/10011482621
of improved forecasting, we model the long memory in levels and absolute returns using the class of fractional integrated …
Persistent link: https://www.econbiz.de/10003633787
market volatility, with significant impact on pricing and forecasting of market volatility. The implication is that models …
Persistent link: https://www.econbiz.de/10003636008
Measuring and modeling financial volatility is the key to derivative pricing, asset allocation and risk management.The recent availability of high-frequency data allows for refined methods in this field.In particular, more precise measures for the daily or lower frequency volatility can be...
Persistent link: https://www.econbiz.de/10003727640
This paper considers a formulation of the extended constant or time-varying conditional correlation GARCH model which allows for volatility feedback of either sign, i.e., positive or negative. In the previous literature, negative volatility spillovers were ruled out by the assumption that all...
Persistent link: https://www.econbiz.de/10003764299