Jason Roderick Donaldson, Giorgia Piacentino, Xiaobo Yu · 2026-08-14
A plain-English AI summary of what this paper means for investors — generated on demand from the abstract.
We develop a model of interbank networks with random liquidity shocks. Networks of dilutable debt---e.g., long-term, unsecured---facilitate efficient liquidity transfers: Shocked banks pledge interbank claims as collateral for new senior debt, diluting existing debt. Unlike with non-dilutable debt, indebtedness and connectedness are sources of stability, not fragility. Dilution is thus a ``backdoor bail-in'' that reallocates losses absent a resolution authority, trigger security, or ex post renegotiation. We uncover a class of networks, ``exponential networks,'' that implement optimal contingent transfers via plain debt. Yet exponential networks are not pairwise stable, whereas some core--periphery networks are, rationalizing observed interbank structures and their under-insurance against crises.
Go deeper: a full research-committee breakdown of this paper, its assumptions and failure modes, and how its method would apply to a specific ticker or your watchlist. See StockTools AI →
AI summary generated from the paper’s public abstract via arXiv; it may miss nuance — read the source before relying on it. Thank you to arXiv for its open-access interoperability; StockTools is not affiliated with arXiv, and all rights remain with the authors. Educational only, not financial advice.