AggregatedConnectedness {ConnectednessApproach} | R Documentation |
Aggregated Connectedness Measures
Description
This function results in aggregated connectedness measures.
Usage
AggregatedConnectedness(dca, groups, start = NULL, end = NULL)
Arguments
dca |
Dynamic connectedness object |
groups |
List of at least two group vectors |
start |
Start index |
end |
End index |
Value
Get connectedness measures
Author(s)
David Gabauer
References
Chatziantoniou, I., Gabauer, D., & Stenfor, A. (2021). Independent Policy, Dependent Outcomes: A Game of Cross-Country Dominoes across European Yield Curves (No. 2021-06). University of Portsmouth, Portsmouth Business School, Economics and Finance Subject Group.
Examples
#Replication of Gabauer and Gupta (2018)
data("gg2018")
dca = ConnectednessApproach(gg2018,
nlag=1,
nfore=10,
model="VAR",
connectedness="Time")
ac = AggregatedConnectedness(dca, groups=list("US"=c(1,2,3,4), "JP"=c(5,6,7,8)))
[Package ConnectednessApproach version 1.0.3 Index]