Combination for Multiple Distinct Disaggregate Forecasts
Combination of multivariate volatility forecasts
... approach is that, in very large dimensional systems, it is not necessary to analyze the whole set of bivariate systems, whose number can be overwhelming, but it is in theory possible to perform the estimation only on a ...
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A disaggregate approach to economic models of voting in U.S. presidential elections: forecasts of the 2008 election
... in combination with significance of real growth only for lower-income states, where employment stability is likely a stronger motive than wealth preservation, is consistent with evidence in Joyadev (2006, ...
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Optimal combination forecasts for hierarchical time series
... further disaggregate the data into tourism within the capital city of each state or territory and tourism in other ...of combination given by ( 12 ) and ( 13 ) is ...
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Combination forecasts of tourism demand with machine learning models
... estimates forecasts by the combination of values in a kernel (Rasmussen, ...a multiple-step-ahead forecasting experiment to compare GPR to SVR and NN ...
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Multiple System Combination for Transliteration
... attaching distinct tags to each character in the supplemental inputs, in order to make a distinction between the symbols produced by different supplemental ...
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Improving Underlying Scenarios for Aggregate Forecasts: A Multi level Combination Approach
... multi-level combination framework provides similar aggregate forecasting ac- curacy to that of equivalent traditional forecast combination methods and disaggregate accuracy equal to or better than ...
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Do Combination Forecasts Outperform the Historical Average? Economic and Statistical Evidence
... 4.3 Economic Evaluation Results from the economic evaluation of out-of-sample predictability from individual and multiple variables are reported in tables 6 and 7. At a …rst glance, only one variable, the term ...
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Multimodel Ensembles of Streamflow Forecasts: Role of Predictor State in Developing Optimal Combination.
... climate forecasts are developed by forcing multiple GCMs with three different SST forecasts, ...climate forecasts and this process is getting refined due to the continuous development of ...
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Combining forecasts based on multiple encompassing tests in a macroeconomic core system
... a zero weight in a forecast combination. In our procedure models that are encompassed by their competitors are first discarded and then a new combined forecast as the arithmetic mean of the predicted values from ...
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A review of lenalidomide in combination with dexamethasone for the treatment of multiple myeloma
... ect distinct patterns of antiangiogenic, cytokine-related, micro- environmental, and immunomodulatory activity, rather than distinct separate mechanisms of ...
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Combining disaggregate forecasts or combining disaggregate information to forecast an aggregate
... combining disaggregate information by including all, or a selected num- ber of, disaggregate variables in the aggregate model is investigating the predictability content of disaggregates for the aggregate ...
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What do we know about comparing aggregate and disaggregate forecasts?
... the MSEs of the aggregate and disaggregate predictors become almost identical. This is true for one-step ahead and for five-steps ahead forecasts. In summary, the differences between MSEs are very small, ...
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Does Using Disaggregate Components Help in Producing Better Forecasts for Aggregate Inflation?
... A recent question arising in the literature is whether aggregate inflation forecasts can be improved by using information from the subcomponents. In attempts to answer this question, literature has developed on ...
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The Combination of Forecasts with Different Time Aggregation
... forecast combination have been proposed in the ...available forecasts with identical ...the forecasts with different time aggregations in order to capture the unique information of the data ...
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Combination of Sources of Evidence with Distinct Frames of Discernment
... 1) according to GSs provided by original sources, we construct the compatible domain and the incompatible domain of TFE based on several rules; and 2) we calculate the belief mass of TFE with very basic belief allocation ...
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Multiple Horizons and Information in USDA Production Forecasts
... production forecasts are more accurate at three quarters ahead than two quarters ...perfect forecasts, it takes a value of unity for naïve “no change” forecasts, and it has no upper bound ...the ...
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Combination Forecasts of Bond and Stock Returns: An Asset Allocation Perspective
... 3.2 Forecasting U.S. Bond Returns We begin our analysis by evaluating the forecasting ability of the candidate pre- dictors for US long-term government bond returns for horizons ranging from 1 to 24 months. Table 1 ...
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Are combination forecasts of S&P 500 volatility statistically superior?
... and combination forecasts based on both classes (IV and M BF ...of combination forecasts, which are potentially useful as di¤erent forecasting approaches capture di¤erent volatility ...whether ...
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A Disaggregate Characterisation of Recessions
... ‡ University of Kent April 2012 Abstract: The Great Recession has inspired renewed interest in analyzing the behaviour of the economy during recession episodes, and how these temporary events can shape the productive ...
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Impacts of disaggregate energy prices on disaggregate energy CO2 emissions: evidence from China
... between disaggregate fuel prices and corresponding energy consumption are negatively associated with CO2 emissions induced from consumption of respective energy sources; this makes us believe that tax on energy ...
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