Standard IRRBB — limit-setting, rate shocks, EVE sensitivity — is largely a compliance tool. This framework goes further: tracing how behavioral assumptions, hedge positioning, and funding structure compound through the balance sheet into capital outcomes — and what to do about it.

Each step below links to the corresponding research post. For detailed documents and questions, reach out.

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Starting Point

Foundational Baseline

Generating an interest rate risk profile from SVB's 12/31/2022 public balance sheet using industry-average behavioral assumptions — establishing the measurement floor every institution can replicate from public data alone.

Research post forthcoming
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Risk Attribution

Attribution

Replacing industry averages with bank-specific behavioral assumptions — NMD decay, deposit betas, prepayment speeds — and tracing how each compounds into EVE/NII sensitivity. In SVB's case: 79.5 percentage points of EVE exposure attributable to assumption differences alone.

Research post
2

Hedge Strategy Evaluation

Mitigation

Evaluating structural hedging from SVB's true risk position — not industry averages. Three posts examine the full analysis:

  • Part 1 — Hedge sizing, cost-benefit framework, and capital protection trade-offs Part 1
  • Part 2 — Exchange-traded vs. OTC structures: accounting effectiveness and classification impact Part 2
  • Part 3 — The laddered strategy (2Y/5Y/7Y): $16M annual cost saving and $2.1B capital efficiency gain quantified Part 3
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Assumption Failure Scenarios

Stress Testing

Testing what happens when behavioral assumptions fail — not just rates move. Four scenarios: deposit stickiness reversion, pricing power loss, digital disruption, and combined adverse stress. The finding: a hedge sized for the wrong liability duration provides limited protection when that duration collapses.

Research post
4

Strategic Action

Decisions

With attribution and stress outputs in hand, evaluating the full strategic menu — from status quo to layered defense — against baseline performance, stress capital impact, and regulatory positioning.

Research post
All analysis uses publicly available data and represents personal opinion only. For detailed documents and questions, reach out: kai.chen.almfes@gmail.com