Cabrales, Antonio and Gottardi, Piero and Vega-Redondo, Fernando (2017) Risk Sharing and Contagion in Networks. The Review of Financial Studies, 30 (9). pp. 3086-3127. DOI https://doi.org/10.1093/rfs/hhx077
Cabrales, Antonio and Gottardi, Piero and Vega-Redondo, Fernando (2017) Risk Sharing and Contagion in Networks. The Review of Financial Studies, 30 (9). pp. 3086-3127. DOI https://doi.org/10.1093/rfs/hhx077
Cabrales, Antonio and Gottardi, Piero and Vega-Redondo, Fernando (2017) Risk Sharing and Contagion in Networks. The Review of Financial Studies, 30 (9). pp. 3086-3127. DOI https://doi.org/10.1093/rfs/hhx077
Abstract
We investigate the socially optimal design of financial networks, that allows to tackle the trade-off between risk sharing and contagion. We identify conditions on the shock distribution under which full integration or maximal segmentation is optimal. We also show that, under different conditions, the optimal network displays different levels of strength of linkages to other firms or intermediate degrees of segmentation. In the latter case, the individual and social incentives to establish linkages are not necessarily aligned. When firms face heterogeneous distributions of risks, they should optimally form linkages only with firms facing risks of the same kind.
Item Type: | Article |
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Uncontrolled Keywords: | D85; C72; G21 |
Divisions: | Faculty of Social Sciences Faculty of Social Sciences > Economics, Department of |
SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
Depositing User: | Unnamed user with email elements@essex.ac.uk |
Date Deposited: | 18 Sep 2019 11:33 |
Last Modified: | 30 Oct 2024 17:26 |
URI: | http://repository.essex.ac.uk/id/eprint/25375 |
Available files
Filename: robustcontagion-260417 11pt.pdf