Banking Probabilistic Risk Assessment: A Response-Time Framework for Systemic Resilience

Описание: Modern banks do not fail only because of risk exposure.
They fail when response time exceeds liquidity survival time.

In this white paper presentation, I introduce a structured framework for Banking Probabilistic Risk Assessment (PRA) designed specifically for large, systemically important financial institutions.

Traditional financial risk models focus on probability distributions — credit losses, capital adequacy, and stress-test scenarios. While essential, these models do not fully capture how modern banking crises unfold in a digital, confidence-driven environment. Today, systemic instability is often governed less by statistical likelihood and more by response latency.

This framework adapts principles from nuclear-grade risk assessment and applies them to banking infrastructure. The core resilience condition is straightforward:

Total Response Latency must remain shorter than Baseline Liquidity Survival Time.

The model integrates:

• Strategic structural fragility
• Detection and escalation latency
• Governance and human reliability
• AI-driven amplification risk
• Confidence decay dynamics
• Regulatory response behavior
• Cross-institution correlation and contagion

Rather than attempting to assign false precision to rare systemic events, the framework emphasizes measurable survival time and institutional responsiveness under stress.

This presentation is intended for banking commissions, regulatory bodies, risk committees, and institutional leaders evaluating systemic resilience in the era of digital finance.

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