Measuring Economic Uncertainty with Artificial Intelligence

Authors

Dejan Romih
University of Maribor, Faculty of Economics and Business
https://orcid.org/0000-0001-9123-0183
Silvo Dajčman
University of Maribor, Faculty of Economics and Business
https://orcid.org/0000-0002-9801-0922
DOI: https://doi.org/10.18690/um.pf.11.2025.10

Synopsis

Artificial intelligence has an impact on all areas and aspects of social life. In this paper, we analyse the measurement of economic uncertainty with artificial intelligence. To do so, we use the Stanford Cable TV News Analyzer, which allows us to analyse cable news on CNN, FOX and MSNBC. Using this tool, we have developed three cable news-based economic uncertainty indices that complement existing economic uncertainty indices and allow for more in-depth exploration of this area of research. Using a vector autoregression model, we found that a shock to economic uncertainty coverage by individual cable news channels has different effects on the US economy.

Author Biographies

Dejan Romih, University of Maribor, Faculty of Economics and Business

Dr Dejan Romih is an Assistant Professor at the Faculty of Economics and Business, University of Maribor, in the field of International Economics and Business. He received his PhD in Economics from the University of Maribor. His research and teaching activities focus on international economics and business.

Maribor, Slovenia. E-mail: dejan.romih@um.si

Silvo Dajčman, University of Maribor, Faculty of Economics and Business

Silvo Dajčman, PhD in economics, is a full professor of "applied economics and econometrics" and an associate professor of "economic theory and political economy" at the Faculty of Economics and Business, University of Maribor. His research and teaching interests include economic policy, econometrics, urban economics, financial economics, public sector economics, and health economics.

Maribor, Slovenia. E-mail: silvo.dajcman@um.si

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Volume

Od algoritma do prava: Pravni, ekonomski in kulturni izzivi umetne inteligence

Pages

257-276

Published

December 1, 2025

Categories

Copyright (c) 2025 University of Maribor, University of Maribor Press

License

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

How to Cite

Romih, D., & Dajčman, S. (2025). Measuring Economic Uncertainty with Artificial Intelligence. In M. Repas (Ed.), Od algoritma do prava: Pravni, ekonomski in kulturni izzivi umetne inteligence (pp. 257-276). University of Maribor Press. https://doi.org/10.18690/um.pf.11.2025.10