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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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ANALYZING STRUCTURAL BREAKS AND NONLINEAR VOLATILITY IN NIGERIAN QUASI-MONEY USING SMOOTH TRANSITION AUTOREGRESSIVE-GARCH MODELS

2026Advances and Applications in StatisticsJournalOpen access

10.17654/0972361726028 Full text0 citations

Authors

10 authors across 4 institutions in 2 countries.

Awogbemi Clement AdeyeyeFirst author
- National Hospital Abuja (NG)
Deebom Zorle Dum
- Rivers State University (NG)
Oyowei Esueze Augustine
- National Hospital Abuja (NG)
Osamo Caleb Kehinde
- Veritas University (NG)
Attah Eleojo Vincent
Olorunmaye Benjamin
- National Hospital Abuja (NG)
Okafor Margaret Folakemi
- National Hospital Abuja (NG)
Oloda Festus Sunday Smart
Ale Florence
Okwuoza Orobosa SylvesterSenior author

Fields

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

Financial Risk and Volatility Modelinglevel 3 · 0.61
Monetary Policy and Economic Impactlevel 3 · 0.13
Global Financial Crisis and Policieslevel 3 · 0.04

Sources

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

openalexseen September 9, 2026
2026 · Advances and Applications in Statistics · 0 citations
https://openalex.org/W7153579632

ANALYZING STRUCTURAL BREAKS AND NONLINEAR VOLATILITY IN NIGERIAN QUASI-MONEY USING SMOOTH TRANSITION AUTOREGRESSIVE-GARCH MODELS · Sankore