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Dynamic industry uncertainty networks and the business cycle

  • Jozef Baruník*
  • , Mattia Bevilacqua
  • , Robert Faff
  • *Corresponding author for this work

Research output: Contribution to journalArticleResearchpeer-review

Abstract

This paper identifies smoothly varying industry uncertainty networks from option prices that contain valuable information about business cycles, especially in terms of forecasting. Such information is stronger when the network is formed on uncertainty hubs, firms identified as the main contributors to uncertainty shocks. The stronger predictive ability of the hubs-based network is robust to a wide range of checks, the inclusion of a large set of controls, and is also confirmed out-of-sample.

Original languageEnglish
Article number104793
Pages (from-to)1-22
Number of pages22
JournalJournal of Economic Dynamics and Control
Volume159
DOIs
Publication statusPublished - Feb 2024

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