Compliance Moral Hazard and the Backfiring Mandate

2026-04-23

AI Summary

This study addresses the problem of information fragmentation and compliance-related moral hazard arising from misaligned incentives among decentralized institutions sharing a common customer base. To tackle this challenge, the paper proposes a mechanism design framework for decentralized risk analysis, whose core innovation is the introduction of a Time-Value Allocation (TVA) mechanism. By integrating strictly proper scoring rules with discounted verification, TVA achieves, for the first time, a truthful-reporting Bayesian–Nash equilibrium in environments characterized by intervention-induced information destruction, adversarial adaptation, and moral hazard. Embedding the theoretical analysis within a model of interbank competition, simulations on a synthetic anti–money laundering benchmark demonstrate that TVA substantially outperforms incentive-free alternatives—such as autarky or mandatory sharing—in enhancing overall welfare, while also revealing that mandatory sharing can be counterproductive.

Technology Category

• Multiagent Systems: Mechanism Design
• Game Theory and Economic Paradigms: Mechanism Design
• Reasoning under Uncertainty: Decision/Utility Theory

Application Category

• Economics, Online Markets and Human Computation: Incentives in network design for Web infrastructures and ecosystems
• Security and Privacy: Data transparency and provenance
• User Modeling, Personalization and Recommendation: Accountability, Transparency, and Ethics for personalization

Abstract

Competing firms that serve shared customer populations face a fundamental information aggregation problem: each firm holds fragmented signals about risky customers, but individual incentives impede efficient collective detection. We develop a mechanism design framework for decentralized risk analytics, grounded in anti-money laundering in banking networks. Three strategic frictions distinguish our setting: compliance moral hazard, adversarial adaptation, and information destruction through intervention. A temporal value assignment (TVA) mechanism, which credits institutions using a strictly proper scoring rule on discounted verified outcomes, implements truthful reporting as a Bayes--Nash equilibrium (uniquely optimal at each edge) in large federations. Embedding TVA in a banking competition model, we show competitive pressure amplifies compliance moral hazard and poorly designed mandates can reduce welfare below autarky, a ``backfiring'' result with direct policy implications. In simulation using a synthetic AML benchmark, TVA achieves substantially higher welfare than autarky or mandated sharing without incentive design.

Problem

• compliance moral hazard
• information aggregation
• adversarial adaptation
• backfiring mandate
• decentralized risk analytics

Innovation

• Temporal Value Assignment
• Compliance Moral Hazard
• Decentralized Risk Analytics
• Bayes-Nash Equilibrium
• Backfiring Mandate