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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.

MACHINE LEARNING FOR STOCK MARKET FORECASTING: A REVIEW OF MODELS AND ACCURACY

2024Finance & Accounting Research JournalJournalOpen access

10.51594/farj.v6i2.783 Full text27 citations

Authors

6 authors across 2 institutions in 1 country.

Rhoda Adura AdeleyeFirst author
Tula Sunday Tubokirifuruar
- Rivers State University (NG)
Binaebi Gloria Bello
Ndubuisi Leonard Ndubuisi
Onyeka Franca Asuzu
- Federal College of Fisheries and Marine Technology (NG)
Oluwaseyi Rita OwolabiSenior author

Fields

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

Stock Market Forecasting Methodslevel 3 · 0.98
Forecasting Techniques and Applicationslevel 3 · 0.92

Sources

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

openalexseen September 9, 2026
2024 · Finance & Accounting Research Journal · 27 citations
https://openalex.org/W4391898207

MACHINE LEARNING FOR STOCK MARKET FORECASTING: A REVIEW OF MODELS AND ACCURACY · Sankore