Dynamic industry uncertainty networks and the business cycle

B-Tier
Journal: Journal of Economic Dynamics and Control
Year: 2024
Volume: 159
Issue: C

Score contribution per author:

0.670 = (α=2.01 / 3 authors) × 1.0x B-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

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.

Technical Details

RePEc Handle
repec:eee:dyncon:v:159:y:2024:i:c:s0165188923001999
Journal Field
Macro
Author Count
3
Added to Database
2026-01-24