A news-based economic policy uncertainty index for Nigeria

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dc.contributor.author Salisu, Afees A.
dc.contributor.author Salisu, Sulaiman
dc.contributor.author Salisu, Subair
dc.date.accessioned 2025-04-24T12:18:07Z
dc.date.available 2025-04-24T12:18:07Z
dc.date.issued 2024-10
dc.description.abstract In this study, we develop the first daily news-based Economic Policy Uncertainty (EPU) index for Nigeria, which was previously not covered in recent EPU indices. The need to track economic uncertainties in Nigeria becomes crucial for investment and policy, especially with the renewed interest in the country as an important investment destination. To construct the EPU index, we use relevant keywords from articles in prominent newspapers in the country, covering the aftermath of the global financial crisis and the COVID pandemic, with a data scope of January 2010 to November 2022. We evaluate the predictability of the index by examining its connection with economic and financial variables like exchange rates, stock prices, and inflation in Nigeria. The results are robust to alternative model specifications, data frequencies, and multiple forecast horizons. We hope to extend this exercise to other useful indices, including Geopolitical Risk, Financial Stress Indicators, and Monetary Policy Uncertainty, which are not readily available for Africa, including Nigeria. en_US
dc.description.department Economics en_US
dc.description.sdg SDG-08:Decent work and economic growth en_US
dc.description.sdg SDG-09: Industry, innovation and infrastructure en_US
dc.description.sponsorship Open access funding provided by University of Pretoria. en_US
dc.description.uri https://link.springer.com/journal/11135 en_US
dc.identifier.citation Salisu, A., Salisu, S. & Salisu, S. 2024, 'A news-based economic policy uncertainty index for Nigeria', Quality and Quantity, vol. 58, pp. 4987–5002, doi : 10.1007/s11135-024-01886-x. en_US
dc.identifier.issn 0033-5177 (print)
dc.identifier.issn 1573-7845 (online)
dc.identifier.other 10.1007/s11135-024-01886-x
dc.identifier.uri http://hdl.handle.net/2263/102218
dc.language.iso en en_US
dc.publisher Springer en_US
dc.rights © 2024, The Author(s). This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. en_US
dc.subject News en_US
dc.subject Nigeria en_US
dc.subject Machine learning en_US
dc.subject Predictability en_US
dc.subject Forecast evaluation en_US
dc.subject SDG-08: Decent work and economic growth en_US
dc.subject SDG-09: Industry, innovation and infrastructure en_US
dc.subject Economic policy uncertainty (EPU) en_US
dc.title A news-based economic policy uncertainty index for Nigeria en_US
dc.type Article en_US


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