This is the publicly available dataset for the paper "Cascading failure and systemic risk: A perspective of tail risk network" submitted to the journal Entropy.
The impact of policy uncertainty on A-share industry returns shows significant time-varying characteristics, amplified by industry input-output relationships. Traditional TVP-VAR models overlook netwo
Largest ten components of , , , and by the average ranks of the eigenvector components taken over the moving windows with ending dates from 02/04/2003 to 25/12/2006. The eigenvectors are obtained from
Systemic risk measures such as CoVaR, CoES, and MES are widely-used in finance, macroeconomics and by regulatory bodies. Despite their importance, we show that they fail to be elicitable and identifia
Replication Package for article "A Co-Jump Network Approach to Systemic Risk Measurement: Evidence from the U.S. Financial Market", includes readme file, main code and data.