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Estimation of the volatility of time series has taken off since the introduction of the GARCH and stochastic volatility models. While variants of the GARCH model are applied in scores of articles, use of the stochastic volatility model is less widespread. In this article it is argued that one...
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The main goal of the article is to investigate forecasting quality of two approaches to modelling main macroeconomic … regressors. With application of tendency survey data the authors develop methodology for application of the Bayesian averaging of … accuracy not inferior to that of structural models. Additional advantage of their approach is that the forecasting procedure …
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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. …
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The article compares forecast quality from two atheoretical models. Neither method assumed a priori causality and forecasts were generated without additional assumptions about regressors. Tendency survey data was used within the Bayesian averaging of classical estimates (BACE) framework and...
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that allows for parameter estimation error in certain contexts, and White (2000) who develops testing methodology suitable …
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