Table 1: Connectedness table
data("gg2018")
dca = ConnectednessApproach(gg2018,
nlag=1,
nfore=10,
model="TVP-VAR",
connectedness="Time",
window.size=200,
VAR_config=list(TVPVAR=list(kappa1=0.99, kappa2=0.99, prior="BayesPrior")))
## Estimating model
## Computing connectedness measures
## The TVP-VAR connectedness approach is implemented according to:
## Antonakakis, N., Chatziantoniou, I., & Gabauer, D. (2020). Refined measures of dynamic connectedness based on time-varying parameter vector autoregressions. Journal of Risk and Financial Management, 13(4), 84.
US.FPU |
61.87 |
25.27 |
0.92 |
2.76 |
2.89 |
1.92 |
1.13 |
3.23 |
38.13 |
US.MPU |
24.76 |
61.33 |
1.34 |
5.69 |
1.53 |
2.71 |
1.15 |
1.49 |
38.67 |
US.TPU |
1.23 |
2.50 |
90.64 |
0.82 |
0.50 |
0.79 |
2.05 |
1.48 |
9.36 |
US.CPU |
1.87 |
7.50 |
0.29 |
76.30 |
5.52 |
2.58 |
1.08 |
4.86 |
23.70 |
JP.FPU |
2.59 |
1.63 |
1.06 |
2.48 |
66.15 |
18.48 |
4.55 |
3.06 |
33.85 |
JP.MPU |
1.68 |
2.77 |
0.14 |
1.38 |
18.80 |
63.93 |
2.82 |
8.48 |
36.07 |
JP.TPU |
1.67 |
1.27 |
3.97 |
1.36 |
4.54 |
2.32 |
84.17 |
0.71 |
15.83 |
JP.CPU |
1.96 |
1.80 |
0.40 |
5.35 |
3.90 |
8.57 |
0.54 |
77.48 |
22.52 |
TO |
35.75 |
42.72 |
8.11 |
19.85 |
37.68 |
37.39 |
13.32 |
23.31 |
218.14 |
Inc.Own |
97.62 |
104.06 |
98.75 |
96.15 |
103.83 |
101.32 |
97.49 |
100.79 |
cTCI/TCI |
NET |
-2.38 |
4.06 |
-1.25 |
-3.85 |
3.83 |
1.32 |
-2.51 |
0.79 |
31.16/27.27 |
NPT |
2.00 |
7.00 |
2.00 |
4.00 |
4.00 |
4.00 |
2.00 |
3.00 |
|
# CONNECTEDNESS DECOMPOSITION
int = InternalConnectedness(dca, groups=list("US"=c(1,2,3,4), "JP"=c(5,6,7,8)))
## The decomposed connectedness measures are implemented according to:
## Gabauer, D., & Gupta, R. (2018). On the transmission mechanism of country-specific and international economic uncertainty spillovers: Evidence from a TVP-VAR connectedness decomposition approach. Economics Letters, 171, 63-71.
ext = ExternalConnectedness(dca, groups=list("US"=c(1,2,3,4), "JP"=c(5,6,7,8)))
## The decomposed connectedness measures are implemented according to:
## Gabauer, D., & Gupta, R. (2018). On the transmission mechanism of country-specific and international economic uncertainty spillovers: Evidence from a TVP-VAR connectedness decomposition approach. Economics Letters, 171, 63-71.
US.FPU |
61.87 |
25.27 |
0.92 |
2.76 |
0.00 |
0.00 |
0.00 |
0.00 |
28.95 |
US.MPU |
24.76 |
61.33 |
1.34 |
5.69 |
0.00 |
0.00 |
0.00 |
0.00 |
31.79 |
US.TPU |
1.23 |
2.50 |
90.64 |
0.82 |
0.00 |
0.00 |
0.00 |
0.00 |
4.54 |
US.CPU |
1.87 |
7.50 |
0.29 |
76.30 |
0.00 |
0.00 |
0.00 |
0.00 |
9.66 |
JP.FPU |
0.00 |
0.00 |
0.00 |
0.00 |
66.15 |
18.48 |
4.55 |
3.06 |
26.10 |
JP.MPU |
0.00 |
0.00 |
0.00 |
0.00 |
18.80 |
63.93 |
2.82 |
8.48 |
30.10 |
JP.TPU |
0.00 |
0.00 |
0.00 |
0.00 |
4.54 |
2.32 |
84.17 |
0.71 |
7.57 |
JP.CPU |
0.00 |
0.00 |
0.00 |
0.00 |
3.90 |
8.57 |
0.54 |
77.48 |
13.02 |
TO |
27.86 |
35.26 |
2.55 |
9.27 |
27.25 |
29.38 |
7.91 |
12.25 |
151.72 |
Inc.Own |
89.72 |
96.60 |
93.19 |
85.57 |
93.39 |
93.31 |
92.08 |
89.72 |
cTCI/TCI |
NET |
-1.09 |
3.48 |
-1.99 |
-0.39 |
1.15 |
-0.72 |
0.34 |
-0.77 |
21.67/18.97 |
NPT |
1.00 |
3.00 |
0.00 |
2.00 |
2.00 |
1.00 |
2.00 |
1.00 |
|
US.FPU |
0.00 |
0.00 |
0.00 |
0.00 |
2.89 |
1.92 |
1.13 |
3.23 |
9.18 |
US.MPU |
0.00 |
0.00 |
0.00 |
0.00 |
1.53 |
2.71 |
1.15 |
1.49 |
6.88 |
US.TPU |
0.00 |
0.00 |
0.00 |
0.00 |
0.50 |
0.79 |
2.05 |
1.48 |
4.82 |
US.CPU |
0.00 |
0.00 |
0.00 |
0.00 |
5.52 |
2.58 |
1.08 |
4.86 |
14.04 |
JP.FPU |
2.59 |
1.63 |
1.06 |
2.48 |
0.00 |
0.00 |
0.00 |
0.00 |
7.75 |
JP.MPU |
1.68 |
2.77 |
0.14 |
1.38 |
0.00 |
0.00 |
0.00 |
0.00 |
5.97 |
JP.TPU |
1.67 |
1.27 |
3.97 |
1.36 |
0.00 |
0.00 |
0.00 |
0.00 |
8.26 |
JP.CPU |
1.96 |
1.80 |
0.40 |
5.35 |
0.00 |
0.00 |
0.00 |
0.00 |
9.51 |
TO |
7.90 |
7.46 |
5.56 |
10.58 |
10.44 |
8.01 |
5.41 |
11.06 |
66.42 |
Inc.Own |
7.90 |
7.46 |
5.56 |
10.58 |
10.44 |
8.01 |
5.41 |
11.06 |
cTCI/TCI |
NET |
-1.29 |
0.58 |
0.74 |
-3.46 |
2.68 |
2.04 |
-2.85 |
1.56 |
9.49/8.30 |
NPT |
1.00 |
4.00 |
2.00 |
2.00 |
2.00 |
3.00 |
0.00 |
2.00 |
|