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Healthy predictions? : questions for data analytics in health care
Hiller, Janine S. - In: American business law journal : the official … 53 (2016) 2, pp. 251-314
Persistent link: https://www.econbiz.de/10011491934
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The Potential Implications of 'Big Ag Data' for USDA Forecasts
Tack, Jesse - 2017
Recent advances in precision agriculture technology have increased the potential to capture near-real time data such as planting and yield information. It is well established that information on crop acreage and yield can have value in commodity markets. That is why the USDA conducts farm...
Persistent link: https://www.econbiz.de/10012964232
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Risk Forecasting in the Light of Big Data
Kernchen, Roman - 2020
Life in modern society is increasingly connected by networks that link the world around us and create many new opportunities, services and benefits for humanity. But at the same time, the underlying networks have created pathways through which potentially hazardous and damaging incidents can...
Persistent link: https://www.econbiz.de/10012830728
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Does big data improve financial forecasting? : the horizon effect
Dessaint, Olivier; Foucault, Thierry; Frésard, Laurent - 2020
less so. We confirm this prediction empirically for sell-side equity analysts' forecasts using a new measure of forecast …
Persistent link: https://www.econbiz.de/10012392738
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Does big data improve financial forecasting? : the horizon effect
Dessaint, Olivier; Foucault, Thierry; Frésard, Laurent - 2020
Persistent link: https://www.econbiz.de/10012419695
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A systematic literature review of mining weak signals and trends for corporate foresight
Mühlroth, Christian; Grottke, Michael - In: Journal of business economics : JBE 88 (2018) 5, pp. 643-687
Persistent link: https://www.econbiz.de/10011888568
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Backcasting, nowcasting, and forecasting residential repeat-sales returns : big data meets mixed frequency
Garzoli, Matteo; Plazzi, Alberto; Valkanov, Rossen I. - 2021 - This version: March 4, 2021
-proposed weighting schemes delivers large improvements in forecast accuracy at all horizons. Additional gains obtain with mixed …-data sampling methods that exploit the daily frequency of financial variables, reducing the mean square forecast error by as much as … 13% compared to a simple autoregressive benchmark. The forecast improvements are largest during economic turmoils …
Persistent link: https://www.econbiz.de/10012487889
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Machine learning methods for inflation forecasting in Brazil: new contenders versus classical models
Araújo, Gustavo Silva; Gaglianone, Wagner Piazza - 2022
Persistent link: https://www.econbiz.de/10013461149
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Big Data Analytics and Management Forecasting Behavior
Goh, Beng Wee; Li, Na; Ranasinghe, Tharindra - 2023
behavior. Insights provided by big data could potentially improve firms’ ability to forecast earnings (supply channel) and … that big data analytics usage is positively associated with management forecast accuracy as well. Also, supporting the …
Persistent link: https://www.econbiz.de/10014359169
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Big data, accounting information, and valuation
Nissim, Doron - In: The Journal of finance and data science : JFDS 8 (2022), pp. 69-85
This paper reviews research that uses big data and/or machine learning methods to provide insight relevant for equity valuation. Given the huge volume of research in this area, the review focuses on studies that either use or inform on accounting variables. The article concludes by providing...
Persistent link: https://www.econbiz.de/10014433769