Mathematical Problems in Engineering

Research Article

ICEEMDAN-Based Transfer Entropy between Global Commodity Classes and African Equities

Table 2

Number of IMFs and selected IMFs from the ICEEMDAN algorithm.
 Number of IMFsSelected IMFs
Panel A: cocoa
Ghana111, 5, 11
Ivory Coast111, 5, 11
Cocoa101, 5, 10
Panel B: coffee
Ivory Coast101, 5, 10
Kenya101, 5, 10
Tanzania111, 5, 11
Uganda101, 5, 10
Coffee101, 5, 10
Panel C: copper
Namibia121, 5, 12
South Africa101, 5, 10
Zambia111, 5, 11
Copper101, 5, 10
Panel D: corn
Egypt101, 5, 10
Kenya101, 5, 10
Malawi111, 5, 11
Nigeria111, 5, 11
South Africa101, 5, 10
Uganda111, 5, 11
Corn121, 5, 12
Panel E: crude oil
Egypt111, 5, 11
Morocco101, 5, 10
Nigeria121, 5, 12
Tunisia101, 5, 10
Crude oil111, 5, 11
Panel F: gold
Ghana101, 5, 10
Ivory Coast111, 5, 11
South Africa101, 5, 10
Tanzania111, 5, 11
Gold111, 5, 11
Panel G: natural gas
Egypt111, 5, 11
Nigeria121, 5, 12
Tanzania111, 5, 11
Natural gas111, 5, 11
Panel H: palladium
South Africa101, 5, 10
Zimbabwe111, 5, 11
Palladium91, 5, 9
Panel I: palm oil
Ghana101, 5, 10
Ivory Coast101, 5, 10
Kenya111, 5, 11
South Africa111, 5, 11
Palm oil101, 5, 10
Panel J: rice
Egypt111, 5, 11
Nigeria121, 5, 12
Tanzania121, 5, 12
Rice111, 5, 11
Panel K: silver
Namibia111, 5, 11
Zambia111, 5, 11
Silver101, 5, 10
Panel L: soybeans
Ghana111, 5, 11
Malawi111, 5, 11
Nigeria111, 5, 11
Uganda111, 5, 11
Zambia111, 5, 11
Soybeans101, 5, 10