Cross-exchange Crypto Risk: A High-frequency Dynamic Network Perspective (pdf)
Cross-exchange Crypto Risk: A High-frequency Dynamic Network Perspective
|
Cross-exchange Crypto Risk: A High-frequency Dynamic Network Perspective (pdf)
|
3.51 K | |
|
Cross-exchange Crypto Risk: A High-frequency Dynamic Network Perspective (video)
|
17 min |
We design a Multivariate Heterogeneous AutoRegression for High-Frequency data (MHAR-HF) to construct a dynamic partial correlation network of cryptocurrency exchange. The dynamic takes cryptocurrency stylized facts into account and capture events in cryptocurrency market.
.
PhD candidate in Southwestern University of Finance and Economics, visiting PhD in Humboldt University of Berlin