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A strategic analysis of prepayments in financial credit networks

Abstract:
<jats:p>In financial credit networks, prepayments enable a firm to settle its debt obligations ahead of an agreed-upon due date. Prepayments have a transformative impact on the structure of networks, influencing the financial well-being (utility) of individual firms. This study investigates prepayments from both theoretical and empirical perspectives. We first establish the computational complexity of finding prepayments that maximize welfare, assuming global coordination among firms in the financial network. Subsequently, our focus shifts to understanding the strategic behavior of individual firms in the presence of prepayments. We introduce a prepayment game where firms strategically make prepayments, delineating the existence of pure strategy Nash equilibria and analyzing the price of anarchy (stability) within this game. Recognizing the computational challenges associated with determining Nash equilibria in prepayment games, we use a simulation-based approach, known as empirical game-theoretic analysis (EGTA). Through EGTA, we are able to find Nash equilibria among a carefully-chosen set of heuristic strategies. By scrutinizing the equilibrium behavior of firms, we outline the characteristics of high-performing strategies for strategic prepayments and establish connections between our empirical and theoretical findings.</jats:p>
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.24963/ijcai.2024/337

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Institution:
University of Oxford
Division:
MPLS
Department:
Computer Science
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Computer Science
Role:
Author


Publisher:
International Joint Conferences on Artificial Intelligence
Host title:
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence (IJCAI-24)
Pages:
3040-3048
Publication date:
2024-08-01
Acceptance date:
2024-04-16
Event title:
33rd International Joint Conference on Artificial Intelligence (IJCAI 2024)
Event location:
Jeju Island, South Korea
Event website:
https://ijcai24.org/
Event start date:
2023-08-03
Event end date:
2023-08-09
DOI:
ISSN:
1045-0823
ISBN:
978-1-956792-04-1


Language:
English
Pubs id:
2002814
Local pid:
pubs:2002814
Deposit date:
2025-04-17

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