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Asymmetric network connectedness of fears

Barunik, J., Bevilacqua, M. and Tunaru, R. (2022) Asymmetric network connectedness of fears. Review of Economics and Statistics, 104 (6). pp. 1304-1316. ISSN 1530-9142

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To link to this item DOI: 10.1162/rest_a_01003

Abstract/Summary

This paper introduces forward-looking measures of the network connectedness of fears in the financial system, arising due to the good and bad beliefs of market participants about un-certainty that spreads unequally across a network of banks. We argue that this asymmetric network structure extracted from call and put traded option prices of the main U.S. banks contains valuable information for predicting macroeconomic conditions and economic uncertainty, and it can serve as a tool for forward-looking systemic risk monitoring.

Item Type:Article
Refereed:Yes
Divisions:No Reading authors. Back catalogue items
Henley Business School > ICMA Centre
ID Code:118430
Publisher:MIT Press

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