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Fixed Income & Credit
6 min readUpdated Apr 12, 2026

Net Interest Income Sensitivity

ByConvex Research Desk·Edited byBen Bleier·
NII sensitivityrate sensitivityNII at risk

Net Interest Income Sensitivity measures how much a bank's net interest income changes for a given parallel shift in interest rates, quantifying the degree to which a financial institution is asset-sensitive or liability-sensitive across its balance sheet.

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Analysis from May 14, 2026

What Is Net Interest Income Sensitivity?

Net Interest Income (NII) Sensitivity quantifies the change in a bank's net interest income, the spread between interest earned on assets and interest paid on liabilities, for a standardized shift in interest rates, typically ±100 or ±200 basis points applied as a parallel shock across the yield curve. It is distinct from, though closely related to, duration and economic value of equity (EVE) sensitivity. Where EVE measures the present-value impact of rate changes on the entire balance sheet, a stock concept, NII sensitivity is a flow measure, capturing how much net income the institution will earn or lose over a defined forward horizon, almost always 12 months.

A bank described as asset-sensitive earns more in rising rate environments because its earning assets, floating-rate commercial loans, adjustable-rate mortgages, short-duration securities, reprice faster than its funding liabilities. A liability-sensitive bank faces margin compression as rates rise because its deposit base or wholesale funding reprices upward before its fixed-rate asset book rolls. The repricing gap, the net dollar difference between rate-sensitive assets and rate-sensitive liabilities maturing or repricing within a given window, is the mechanical driver of this dynamic, though deposit behavior and embedded optionality complicate the math considerably.

Why It Matters for Traders

For macro and equity traders, NII sensitivity functions as a leading indicator of bank earnings momentum and, by extension, financial sector equity and credit performance. When the Fed Funds Rate rises sharply, asset-sensitive institutions, particularly regional U.S. banks with large floating-rate commercial and industrial loan books, experience meaningful and often rapid NII expansion. This frequently translates into consecutive quarters of earnings beats, creating durable momentum in the stocks before deposit repricing eventually erodes the advantage.

Two variables amplify or mute this dynamic. First, deposit beta, the percentage of each rate hike transmitted to deposit holders, is the single most important lever. In the early stages of a tightening cycle, betas tend to be low as banks exploit customer inertia; NII sensitivity therefore peaks. As the cycle matures and alternatives such as money market funds compete aggressively for retail balances, betas rise and the asset-sensitive tailwind compresses. Second, funding mix matters: banks reliant on brokered deposits or Federal Home Loan Bank advances see their cost of funds reprice almost instantaneously, stripping away sensitivity that simpler gap analysis would suggest they possess.

Traders in subordinated bank debt, Additional Tier 1 instruments, Tier 2 notes, also use NII sensitivity as a proxy for interest coverage headroom and dividend sustainability, particularly relevant when assessing call risk on AT1 securities during rate transition periods.

How to Read and Interpret It

Banks disclose NII sensitivity in their 10-K filings, annual reports, and quarterly earnings supplements, typically alongside EVE tables. Key thresholds and interpretive rules of thumb:

  • A +100bps shock producing more than 5% NII uplift signals robust asset sensitivity, a constructive signal for earnings in an active hiking cycle, though the magnitude should be cross-checked against disclosed deposit beta assumptions.
  • Negative NII sensitivity to rate hikes indicates liability sensitivity, the bank's funding costs accelerate faster than asset yields. This is common at institutions with large retail fixed-rate mortgage books or long-duration securities portfolios.
  • Asymmetric profiles deserve particular attention: some banks show positive NII sensitivity to a +200bps shock but sharply negative sensitivity to a -200bps shock, reflecting embedded deposit floor optionality. When rates are already low, deposit rates cannot fall proportionally, so a rate cut compresses asset yields without a compensating liability reduction.
  • Instantaneous shock vs. gradual ramp scenarios produce meaningfully different results. Many banks now disclose both, and the gap between them reveals how much of their sensitivity is front-loaded versus deferred.

Comparing NII sensitivity tables across peer banks is a reliable method for identifying relative value in bank equity pairs trades or for tilting sector exposure ahead of FOMC decisions.

Historical Context

The 2022–2023 Federal Reserve tightening cycle, the most aggressive since the Volcker era, with the Fed Funds Rate climbing from 0–0.25% to 5.25–5.50% in just 16 months between March 2022 and July 2023, provided an extraordinarily clear live demonstration of NII sensitivity dynamics. JPMorgan Chase reported net interest income of approximately $89 billion in full-year 2023, up roughly 34% year-over-year, driven almost entirely by balance sheet asset sensitivity and disciplined deposit beta management in the early phases of the cycle. Wells Fargo and Bank of America, both disclosing meaningful positive NII sensitivity in their 2021 and early 2022 filings, similarly delivered sustained earnings momentum through mid-2023.

The counterexample was equally instructive. Silicon Valley Bank entered 2022 with a balance sheet structurally positioned for the prior decade's low-rate regime: approximately $120 billion in long-duration, fixed-rate agency mortgage-backed securities and Treasuries, funded by highly concentrated, uninsured, and rate-elastic venture capital deposits. Its disclosed NII sensitivity was deceptively benign on a short-horizon basis, but its EVE sensitivity was catastrophically negative. When rates rose 475bps in under 14 months, unrealized losses in its held-to-maturity portfolio wiped out tangible equity, depositors fled to money market funds offering 5%+ yields, and SVB collapsed in March 2023, illustrating how NII sensitivity analysis divorced from EVE and deposit concentration risk can produce fatally incomplete conclusions.

Limitations and Caveats

NII sensitivity disclosures rest on assumptions that routinely fail in practice. Parallel yield curve shocks are the standard convention, but real rate cycles almost never move all tenors equally. A bear steepener, short rates rising while long rates rise faster, affects banks very differently than a bear flattener, even if the 10-year move is identical in both cases. Institutions with significant mortgage servicing rights or prepayment-sensitive assets face negative convexity that static NII models systematically understate.

Deposit behavior modeling is the deepest source of error. Banks must make assumptions about deposit decay rates, non-maturity deposit duration, and competitive dynamics that are inherently backward-looking. Structural shifts, the rise of fintech deposit platforms, instant digital transfers, and the normalization of money market fund usage by retail clients, have made historical deposit beta estimates less reliable as cycle proxies.

Regulatory constraints also distort the picture. Supervisory expectations around interest rate risk in the banking book (IRRBB), particularly under Basel frameworks and the Fed's SR 10-6 guidance, limit how aggressively banks can position for rate sensitivity, meaning the disclosed theoretical sensitivity often overstates the realized earnings impact.

What to Watch

  • Quarterly earnings supplements updating NII sensitivity tables, especially in the first reporting cycle following a significant FOMC policy shift. Changes in the disclosed sensitivity between quarters reveal whether management is actively repositioning the balance sheet.
  • Deposit beta disclosures and guidance: when bank CFOs begin guiding for higher cumulative deposit betas, typically occurring 6–12 months into a hiking cycle, the asset-sensitive trade is usually entering its later innings.
  • Yield curve shape transitions: a shift from bear flattener to bear steepener dynamics benefits banks with longer-duration asset books; a bull flattener compresses NII for asset-sensitive banks even as it boosts EVE.
  • Money market fund flows: sustained inflows to money market funds (tracked weekly by the Investment Company Institute) are a real-time signal that deposit betas are about to accelerate systemically, eroding NII sensitivity advantages across the sector.
  • Fed pivot pricing in rates markets: when fed funds futures price meaningful cuts 6–12 months out, forward NII for asset-sensitive banks compresses, and the sector historically underperforms the broader market in anticipation.

Frequently Asked Questions

How is NII sensitivity different from EVE sensitivity, and which should traders focus on?
NII sensitivity measures the change in net interest income over a forward 12-month period for a given rate shock — a flow concept focused on near-term earnings. EVE sensitivity measures the change in the present value of all future cash flows on the balance sheet — a stock concept that captures long-run solvency risk. Traders focused on quarterly earnings momentum and sector rotation should emphasize NII sensitivity, while those assessing tail risk, capital adequacy, or the viability of longer-dated bank debt should weight EVE sensitivity more heavily; the Silicon Valley Bank collapse in 2023 is the canonical example of benign NII sensitivity masking catastrophic EVE risk.
What deposit beta assumption should I use when evaluating a bank's disclosed NII sensitivity?
Disclosed NII sensitivity tables typically embed management's internal deposit beta assumptions, which are often optimistic, especially early in a rate cycle. A practical cross-check is to compare the bank's disclosed cumulative deposit beta against the system-wide average published by the Fed and tracked by sell-side analysts — in the 2022–2023 cycle, betas ranged from under 20% at retail-heavy franchises to over 60% at institutions with significant commercial and institutional deposit bases. When a bank's assumed beta appears materially below its peer group without a clear structural explanation, treat the disclosed NII sensitivity as likely overstated.
Can NII sensitivity be used to trade bank stocks directly, and what are the timing considerations?
Yes, NII sensitivity is one of the most reliable fundamental inputs for relative value trades within the banking sector, particularly in the early-to-mid stages of a rate hiking cycle when deposit betas remain suppressed and asset repricing is accelerating. The key timing consideration is that markets tend to price in the earnings uplift within two to three quarters of the first hike, meaning the trade often works best if initiated before or immediately after the first FOMC rate increase rather than after the first strong earnings print. As deposit betas normalize and forward curves price future cuts, the NII sensitivity advantage fades and the trade should be unwound or reversed toward liability-sensitive franchises that will benefit from the easing cycle.

Net Interest Income Sensitivity is one of the signals monitored daily in the AI-driven macro analysis on Convex Trading. The platform synthesises data across monetary policy, credit, sentiment, and on-chain metrics to generate actionable trade recommendations. Create a free account to build your own signal layer and see how Net Interest Income Sensitivity is influencing current positions.

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