Table 3.

Results derived from Diebold and Yilmaz model (2014) for spillover

RCOWTIRBRLRMXNRZARRTRYRGBPFROM
Panel (A) – Spillover using Diebold and Yilmaz model (2014) based on full observation
RCOWTI92.360.753.661.610.331.281.27
RBRL0.4259.9915.7915.900.857.056.67
RMXN1.5712.5548.9624.841.2510.828.51
RZAR0.5712.3524.8250.011.8410.408.33
RTRY0.370.972.513.6391.970.541.34
RGBP0.777.215.4013.331.1062.206.3
TO0.625.6410.369.890.895.0232.42
NET−0.65−1.031.851.56−0.45−1.28 
Panel (B) – Spillover using Diebold and Yilmaz model (2014) during COVID-19
RCOWTI89.701.244.942.680.311.141.72
RBRL0.8261.2615.8416.061.024.996.46
RMXN1.9212.4849.3125.091.249.978.45
RZAR0.9212.2625.1951.112.128.408.15
RTRY0.401.122.404.1491.340.611.44
RGBP0.795.3315.5011.531.3565.505.75
TO0.815.4010.649.921.004.1831.96
NET−0.91−1.062.191.77−0.44−1.57 
Panel (C) – Spillover using Diebold and Yilmaz model (2014) during RussoUkraine invasion
RCOWTI88.501.460.532.420.636.471.92
RBRL1.1450.9915.1416.511.0415.188.17
RMXN2.9712.7142.8923.303.0015.129.52
RZAR0.0813.6723.5742.692.4217.589.55
RTRY0.393.404.551.5689.340.771.78
RGBP2.3013.9317.0919.341.3046.058.99
TO1.157.5310.1510.521.409.1839.92
NET−0.77−0.64−0.630.97−0.380.19 
Source: Authors’ own presentation

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