Conference item
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
Actions
Access Document
- Files:
-
-
(Preview, Version of record, pdf, 320.9KB, Terms of use)
-
- Publisher copy:
- 10.24963/ijcai.2024/337
Authors
- 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
Terms of use
- Copyright holder:
- International Joint Conferences on Artificial Intelligence
- Copyright date:
- 2024
If you are the owner of this record, you can report an update to it here: Report update to this record