Network causality structures among Bitcoin and other financial assets: A directed acyclic graph approach

Volume: 70, Pages: 203 - 213
Published: Nov 1, 2018
Abstract
We use a data-driven methodology, namely the directed acyclic graph, to uncover the contemporaneous and lagged relations between Bitcoin and other asset classes. The adopted methodology allows us to identify causal networks based on the measurements of observed correlations and partial correlations, without relying on a priori assumptions. Results from the contemporaneous analysis indicate that the Bitcoin market is quite isolated, and no...
Paper Details
Title
Network causality structures among Bitcoin and other financial assets: A directed acyclic graph approach
Published Date
Nov 1, 2018
Volume
70
Pages
203 - 213
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.