• Medientyp: E-Book
  • Titel: A Network Analysis of Information Diffusion in the Financial Sector
  • Beteiligte: Borochin, Paul [VerfasserIn]; Rush, Stephen [Sonstige Person, Familie und Körperschaft]
  • Erschienen: [S.l.]: SSRN, [2020]
  • Erschienen in: University of Miami Business School Research Paper ; No. 3516784
  • Umfang: 1 Online-Ressource (35 p)
  • Sprache: Englisch
  • DOI: 10.2139/ssrn.3516784
  • Identifikator:
  • Entstehung:
  • Anmerkungen: Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments January 9, 2020 erstellt
  • Beschreibung: We create and test two novel network-based measures of interconnectedness in the financial industry during 1996 to 2013. A network based on informed trading in financial firms predicts firm-specific risk and performance, while one formed on financial firm returns predicts future macroeconomic risk. The measure of informed trading is robust to variable order arrival rates more common in modern algorithmic trading. A trading strategy based on informed trading network centrality in the financial sector delivers an annualized risk-adjusted return of 7.73%. This risk-adjusted return shows that the network centrality has an economic impact that is relevant beyond the statistical results of the paper
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