A Dynamic Network Perspective on the Latent Group Structure of Cryptocurrencies
In this paper, we study the latent group structure in cryptocurrencies market by forming a dynamic return inferred network with coin attributions. We develop a dynamic covariate-assisted spectral clustering method to detect the communities in dynamic network framework and prove its uniform consisten...
Saved in:
Main Authors: | GUO, Li, TAO, Yubo, HARDLE, Wolfgang Karl |
---|---|
Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2018
|
Subjects: | |
Online Access: | https://ink.library.smu.edu.sg/soe_research/2182 https://ink.library.smu.edu.sg/context/soe_research/article/3178/viewcontent/DynamicNetworkPerspectives_Crytocurrencies_2018_wp.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Singapore Management University |
Language: | English |
Similar Items
-
Detecting latent communities in network formation models
by: MA, Shujie, et al.
Published: (2020) -
Understanding cryptocurrencies
by: HARDLE, Wolfgang Karl, et al.
Published: (2020) -
Identifying latent group structures in nonlinear panels
by: WANG, Wuyi, et al.
Published: (2017) -
Cryptocurrency-- A risk asset
by: Lugtu, Reynaldo C., Jr.
Published: (2022) -
Identifying latent group structures in nonlinear panels
by: WANG, Wuyi, et al.
Published: (2021)