Net pairwise spillovers based on generalized FEVD
| Series | CPU | MY_GS | ID_GS | ID_STOCK | MY_STOCK |
|---|---|---|---|---|---|
| CPU | 0.000 | 2.035 | 0.227 | −0.041 | −0.029 |
| MY_GS | −2.035 | 0.000 | 0.431 | 0.418 | 0.964 |
| ID_GS | −0.227 | −0.431 | 0.000 | 1.835 | 2.433 |
| ID_STOCK | 0.041 | −0.418 | −1.835 | 0.000 | 0.208 |
| MY_STOCK | 0.029 | −0.964 | −2.433 | −0.208 | 0.000 |
| Series | MY_GS | ID_GS | ID_STOCK | MY_STOCK | |
|---|---|---|---|---|---|
| 0.000 | 2.035 | 0.227 | −0.041 | −0.029 | |
| MY_GS | −2.035 | 0.000 | 0.431 | 0.418 | 0.964 |
| ID_GS | −0.227 | −0.431 | 0.000 | 1.835 | 2.433 |
| ID_STOCK | 0.041 | −0.418 | −1.835 | 0.000 | 0.208 |
| MY_STOCK | 0.029 | −0.964 | −2.433 | −0.208 | 0.000 |
Net pairwise directional connectedness matrix derived from the generalized forecast error variance decomposition (H = 10). Each entry measures bilateral net spillover asymmetry between variables, computed as the contribution of shocks from market j to market i minus the reverse contribution. Positive values indicate that the row variable is a net receiver from the column variable, while negative values indicate net transmission
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