Dynamic industry uncertainty networks and the business cycle
Baruník, Jozef; Bevilacqua, Mattia; and Faff, Robert
Dynamic industry uncertainty networks and the business cycle.
Journal of Economic Dynamics and Control, 159: 104793.
ISSN 0165-1889
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.
| Item Type | Article |
|---|---|
| Keywords | financial uncertainty,industry network,options market,business cycle,Business cycle,Options market,Financial uncertainty,Industry network,ES/K002309/1,ES/R009724/1,AAM requested |
| Departments | Systemic Risk Centre |
| DOI | 10.1016/j.jedc.2023.104793 |
| Date Deposited | 18 Dec 2023 09:30 |
| URI | https://researchonline.lse.ac.uk/id/eprint/121089 |