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Bayesian predictive synthesis (BPS) is a method of combining predictive distributions based on agent opinion analysis theory, which encompasses many common approaches to combining density forecasts. The key ingredient in BPS is a synthesis function. This is typically specified parametrically as...
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; volatility forecasting ; Monte Carlo simulation ; mixture of generalized error distributions , variance targeting …
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The quasi-simplex model makes use of at least three repeated measures of the same variable to estimate its reliability. The model has rather strict assumptions about how various parameters in the model are related to each other. Previous studies have outlined how several of the assumptions of...
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The role of futures markets in stabilizing spot prices has been extensively discussed. Nevertheless, the ability of these markets to achieve the stabilizing function significantly depends on whether they are "efficient" in the sense that futures prices "fully reflect" the available information....
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