The network structure of overnight index swap rates

Ming Fang, Stephen Taylor, Ajim Uddin

Research output: Contribution to journalArticlepeer-review

1 Scopus citations


Graph theoretical techniques are utilized to examine the centrality structure of overnight index swap (OIS) networks. Correlation based graphs are constructed to encode pairwise relationships between distinct OIS rates. Multiple notions of graph centrality are considered, and the time evolution of these measures is studied. A principal component analysis based centrality measure is constructed to examine comovements between full OIS curves. Numerical examples demonstrating these ideas are provided.

Original languageEnglish (US)
Article number102425
JournalFinance Research Letters
StatePublished - May 2022

All Science Journal Classification (ASJC) codes

  • Finance


  • Fixed income
  • Graph centrality
  • Overnight index swap rates
  • Principal component analysis


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