Optimal Bailouts and Strategic Debt Forgiveness in Financial Networks
Panagiotis Kanellopoulos, Maria Kyropoulou, Hao Zhou

TL;DR
This paper models financial networks to optimize systemic liquidity through strategic bailouts and debt forgiveness, analyzing computational complexity and game-theoretic behaviors of banks to inform effective intervention policies.
Contribution
It introduces a framework for optimizing bailouts and debt forgiveness in financial networks, including approximation analysis, computational hardness, and game-theoretic equilibrium results.
Findings
Greedy bailout policy approximation ratio analyzed
Computational hardness results for optimal policies established
Existence and quality of Nash equilibria demonstrated
Abstract
A financial system is represented by a network, where nodes correspond to banks, and directed labeled edges correspond to debt contracts between banks. Once a payment schedule has been defined, where we assume that a bank cannot refuse a payment towards one of its lenders if it has sufficient funds, the liquidity of the system is defined as the sum of total payments made in the network. Maximizing systemic liquidity is a natural objective of any financial authority, so, we study the setting where the financial authority offers bailout money to some bank(s) or forgives the debts of others in order to maximize liquidity, and examine efficient ways to achieve this. We investigate the approximation ratio provided by the greedy bailout policy compared to the optimal one, and we study the computational hardness of finding the optimal debt-removal and budget-constrained optimal bailout policy,…
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Taxonomy
TopicsEconomic theories and models · Banking stability, regulation, efficiency · Game Theory and Applications
