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Sankore

Named after the University of Sankore in Timbuktu — one of the world’s oldest centres of learning. Every figure here is computed from work-level records in our own graph, never copied from a source’s summary count.

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Coverage is partial and says so. A country appears with its research output only once its works have been swept; until then the portal shows whatever the graph happens to hold for it and labels it as exactly that.

Predicting Nigerian Stock Market Returns Based on Daily Business News Headlines

2024Science Journal of Applied Mathematics and StatisticsJournalOpen access

10.11648/j.sjams.20241206.11 Full text2 citations

Authors

4 authors across 2 institutions in 1 country.

Cornelius AyantseFirst authorCorresponding
- University of Ibadan (NG)
OlaOluwa Simon Yaya
- University of Ibadan (NG)
as printed: OlaOluwa Yaya
Joseph Okeke
- Taraba State University (NG)
as printed: Okeke Joseph
Damilola ArawomoSenior author

Fields

Assignment is probabilistic — a work belongs to several fields in proportions.

Stock Market Forecasting Methodslevel 3 · 1.00
Financial Markets and Investment Strategieslevel 3 · 1.00
Forecasting Techniques and Applicationslevel 3 · 0.97

Sources

Several sources describing one work is the point — it means the record rests on more than one authority.

openalexseen September 9, 2026
2024 · Science Journal of Applied Mathematics and Statistics · 2 citations
https://openalex.org/W4405010097

Predicting Nigerian Stock Market Returns Based on Daily Business News Headlines · Sankore