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The main research area is forecast combination in business, finance and economic applications. Forecast combination is a well-developed area with many applied papers appearing every year. This area has practical significance as in real life situations there are often more than one forecast available and they have to be consolidated. A simple example is inflation prediction. Some experts or models predict that it will go up, others predict that it will go down. One way to consolidate different points of view is to take a weighted average of inflation forecasts. Often the aggregated forecast has better properties than individual forecasts. Andrey Vasnev’s specific interests in this area are in the methodology of combining the information from different levels (for example monthly and quarterly information) and the choice of the weights when combining different forecasts.
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论文共 47 篇作者统计合作学者相似作者
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International Journal of Forecasting (2024)
JOURNAL OF FORECASTINGno. 1 (2024): 118-137
Omegapp.103073, (2024)
Social Science Research Network (2023)
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IJCNNpp.1-8, (2023)
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arxiv(2022)
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arxiv(2022)
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arXiv (Cornell University) (2022)
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