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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.

Quantifying information transfer between Commodities and Implied Volatilities in the Energy Markets: A Multi-frequency Approach · Sankore

Quantifying information transfer between Commodities and Implied Volatilities in the Energy Markets: A Multi-frequency Approach

2022International Journal of Energy Economics and PolicyJournalOpen access

10.32479/ijeep.13403 Full text7 citations

Authors

4 authors across 2 institutions in 2 countries.

Thobekile QabhobhoFirst author
- Nelson Mandela University (ZA)
Zulaiha Hamidu
- University of Cape Coast (GH)
as printed: Emmanuel Asafo-Adjei
Peterson Owusu
- University of Cape Coast (GH)
as printed: Peterson Owusu Junior
Anokye M. AdamSenior author
- University of Cape Coast (GH)

Fields

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

Market Dynamics and Volatilitylevel 3 · 1.00
Energy Load and Power Forecastinglevel 3 · 0.94

Sources

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

crossrefseen September 6, 2026
2022 · International Journal of Energy Economics and Policy · 6 citations
10.32479/ijeep.13403
openalexseen September 8, 2026
2022 · International Journal of Energy Economics and Policy · 7 citations
https://openalex.org/W4302286473