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classical criteria, as well as forecast combination techniques with constant and non-constant weights. With respect to the … standard GARCH specification, the non-linear models generally lead to better forecasts in terms of both smaller forecast errors … and lower biases. In-sample forecast combination regressions are better than those from single Mincer …
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We study the impact of oil price shocks on US stock market volatility. We derive three different structural oil shock variables (i.e. aggregate demand, oil-supply, and oil-demand shocks) and relate them to stock market volatility, using bivariate structural VAR models, one for each oil price...
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