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The power of text-based indicators in forecasting the Italian economic activity
Aprigliano, Valentina; Emiliozzi, Simone; Guaitoli, Gabriele - 2021
Persistent link: https://www.econbiz.de/10012612865
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The power of text-based indicators in forecasting Italian economic activity
Aprigliano, Valentina; Emiliozzi, Simone; Guaitoli, Gabriele - In: International journal of forecasting 39 (2023) 2, pp. 791-808
Persistent link: https://www.econbiz.de/10014465148
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Econometric forecasting using ubiquitous news text : text-enhanced factor model
Seo, Beomseok - 2023
Persistent link: https://www.econbiz.de/10014447774
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Text data rule - don't they? : a study on the (additional) information of Handelsblatt data for nowcasting German GDP in comparison to established economic indicators
Shrub, Yuliya; Rieger, Jonas; Müller, Henrik; Jentsch, … - 2022
propose a mixed-frequency model to investigate the potential of using text data in form of newspaper articles for nowcasting … German GDP growth. Newspaper text data appears to be very helpful in this regard as it directly explains economic and social … on commonly used macro variables with and without additionally included information from text data (extracted in an …
Persistent link: https://www.econbiz.de/10013361278
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Deciphering professional forecasters' stories : analyzing a corpus of textual predictions for the German economy
Fritsche, Ulrich; Puckelwald, Johannes - 2018
We analyze a corpus of 564 business cycle forecast reports for the German economy. The dataset covers nine institutions and 27 years. From the entire reports we select the parts that refer exclusively to the forecast of the German economy. Sentiment and frequency analysis confirm that the mode...
Persistent link: https://www.econbiz.de/10011852760
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Financial forecasting through data mining : a comparative evaluation of probabilistic neural networks and other models
Se Hak, Chun; Kim, Steven H. - In: The Korean economic review 18 (2002) 1, pp. 159-175
Persistent link: https://www.econbiz.de/10001708920
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Forecasting macroeconomic variables in data-rich environments
Medeiros, Marcelo C.; Vasconcelos, Gabriel F. R. - In: Economics letters 138 (2016), pp. 50-52
Persistent link: https://www.econbiz.de/10011615474
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How is machine learning useful for macroeconomic forecasting?
Goulet Coulombe, Philippe; Leroux, Maxime; Stevanović, … - 2019
Persistent link: https://www.econbiz.de/10012109849
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Sources and types of big data for macroeconomic forecasting
Garboden, Philip M. E. - In: Macroeconomic forecasting in the era of big data : …, (pp. 3-23). 2020
Persistent link: https://www.econbiz.de/10012159677
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Nowcasting world trade with machine learning : a three-step approach
Chinn, Menzie David; Meunier, Baptiste; Stumpner, Sebastian - 2023
We nowcast world trade using machine learning, distinguishing between tree-based methods (random forest, gradient boosting) and their regression-based counterparts (macroeconomic random forest, linear gradient boosting). While much less used in the literature, the latter are found to outperform...
Persistent link: https://www.econbiz.de/10014362630