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survey forecasts outperform the best model-based forecasts for a majority of macroeconomic variables and forecast horizons …. We also provide an analysis of the importance of model instability for explaining gains from forecast combination …. Analytical and simulation results uncover break scenarios where forecast combinations outperform the best individual forecasting …
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We compare different approaches to accounting for parameter instability in the context of macroeconomic forecasting models that assume either small, frequent changes versus models whose parameters exhibit large, rare changes. An empirical out-of-sample forecasting exercise for U.S. GDP growth...
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forecasts based on pooled and individual estimates and develop a novel forecast poolability test that can be used as a … stock returns, we show that no single forecasting approach dominates uniformly. However, forecast combination and shrinkage …
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statistical and economic measures of out-of-sample forecast performance. The Sharpe ratio constraint, in particular, results in …
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