The OCC Interest Rate Risk Handbook: Practitioner's Playbook
If you work at a national bank, the OCC Interest Rate Risk Handbook is your Bible. It's 40 pages of guidance on how to measure, manage, and govern interest rate risk. For a junior ALM analyst, reading and understanding this Handbook is essential. It's the OCC's definition of what "sound" interest rate risk management looks like.
The Handbook is not a regulation (it's not binding law). But OCC examiners use it as the standard. If your bank deviates from it, examiners will ask why. You'd better have a good answer.
The Five Core Sections
1. Management of Interest Rate Risk: Core Concepts
The Handbook starts with philosophy:
"Management of interest rate risk is essential to the safe and sound operation of commercial banks. Interest rate risk arises from the timing of repricing of assets, liabilities, and off-balance-sheet items. Changes in interest rates can adversely affect the bank's earnings (earnings risk) and its economic value (market risk)."
Key concepts:
- Repricing gap: The difference between assets and liabilities repricing in a given time bucket. A positive gap (assets > liabilities repricing) means you benefit from rates going up.
- Duration: How sensitive is the market value of an asset to interest rate changes? A 30-year mortgage with 5% coupon has high duration (market value is very sensitive to rate moves). A floating-rate loan with no coupon lock has low duration.
- Earnings risk: How much will NII change if rates move? If you're asset-sensitive, lower rates hurt NII. If you're liability-sensitive, higher rates hurt NII.
- Economic (market) value risk: How much will the bank's equity value change if rates move? This is EVE analysis.
The Handbook emphasizes: "Banks should not take interest rate risk passively. Interest rate risk should be actively managed to support the bank's strategic objectives."
Translation: You should have a view on rates. You should position accordingly (within policy limits). But you should do it deliberately and understand the risks.
2. Interest Rate Risk Measurement
The Handbook identifies four methodologies:
a) Gap Analysis
Create time buckets (0-3 months, 3-6 months, 6-12 months, 1-3 years, 3-5 years, 5+ years).
For each bucket, calculate:
- Rate-sensitive assets: loans and securities repricing in that bucket
- Rate-sensitive liabilities: deposits and wholesale funding repricing in that bucket
- Gap: RSA - RSL
Example:
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0-3 months: RSA = $10B, RSL = $8B, Gap = +$2B (asset-sensitive)
3-6 months: RSA = $9B, RSL = $7B, Gap = +$2B
6-12 months: RSA = $8B, RSL = $10B, Gap = -$2B (liability-sensitive)
`
If rates rise, you earn more on the +$2B gap in months 0-3 (your assets reprice up faster than your liabilities). In months 6-12, you lose (your liabilities reprice up faster than your assets).
Gap analysis is intuitive but crude. It assumes all repricing is immediate and doesn't account for duration.
b) Duration Analysis
Duration is more sophisticated. It measures the weighted average time to repricing of cash flows.
Formula:
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Duration = sum(t * CF_t) / sum(CF_t)
where t = time period, CF_t = cash flow in period t
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Example: A 30-year mortgage with 5% coupon and current yield of 5%:
- Pays $50k/year for 30 years
- Duration ≈ 8-9 years (the cash flows are weighted toward early years due to amortization)
If rates rise 1%, the market value of the mortgage falls ~8-9%. This is duration risk.
Duration gap:
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Duration Gap = Duration(Assets) - Duration(Liabilities)
``
If duration of assets is 5 years and duration of liabilities is 2 years:
- A 1% rate rise causes assets to fall 5% in value
- Liabilities fall 2% in value
- Net effect: equity falls 3% in value
This is more accurate than gap analysis because it accounts for the timing of cash flows.
c) Scenario Analysis
The Handbook recommends stress-testing under various scenarios:
- Parallel shift: All rates move up or down equally (Fed raises rates uniformly)
- Non-parallel shifts: Short rates move different from long rates (yield curve flattens or steepens)
- Bank-specific scenarios: Based on the bank's actual risk profile
Example:
- Scenario 1: +200 bps parallel shift (all rates up 2%)
- Scenario 2: -200 bps parallel shift (all rates down 2%)
- Scenario 3: Yield curve flattens (short rates +100, long rates -50)
- Scenario 4: Yield curve steepens (short rates -50, long rates +100)
- Scenario 5: Bank-specific (our bank's deposit betas rise from 70% to 85%; our mortgages prepay faster)
For each scenario, calculate EVE impact and NII impact.
d) Value-at-Risk (VAR)
Optional methodology. VAR models the probability distribution of outcomes. "We are 95% confident that a 1-day loss from interest rate moves will not exceed $X."
VAR is more sophisticated but not commonly used for ALM (it's more trading-focused). The Handbook mentions it but doesn't require it.
3. Management and Governance
The Handbook is very clear on governance:
"The board of directors should establish a clear interest rate risk policy that outlines the bank's tolerance for interest rate risk. The policy should be specific, measurable, and enforceable."
Specifically:
- Board approval: The IRR policy must be approved by the board (not just ALCO)
- Specific limits: "EVE should not decline by more than X% of capital under a Y bps shock." Not vague.
- Independent oversight: Someone other than the risk-takers (Treasury) must oversee the policy (Risk Committee)
- Regular reporting: ALCO should review metrics at least quarterly (monthly is better)
- Annual review: The policy should be reviewed annually
- Escalation: Breaches must be escalated and remediated
"Management should ensure that the measurement and management of interest rate risk are integrated throughout the bank. This includes loan pricing, funding decisions, and investment portfolio management."
Translation: Every business line should understand how their decisions affect balance sheet interest rate risk.
4. Assumptions and Estimation
This section is critical. The Handbook outlines assumptions that should be validated:
Deposit repricing and behavior:
- "Demand deposits should be treated conservatively. Even if they are non-interest-bearing, they will reprice if competitors offer rates."
- "The bank should estimate deposit beta based on historical experience and peer comparison."
- "In stress scenarios, deposit behavior may change materially."
Loan repricing:- "Fixed-rate loans reprice only at maturity or prepayment."
- "ARMs reprice according to index and margin. The bank should model repricing lag (e.g., 1-3 month lag between index move and rate adjustment)."
- "Prepayment assumptions should be based on historical experience and industry models."
Mortgage prepayment:- "As rates fall, prepayments accelerate. The bank should model prepayment risk."
- "Factors affecting prepayment: interest rate change, seasoning of mortgage, seasonal patterns, economic conditions."
- "A reasonable prepayment model uses S-curve relationships (slow acceleration of prepayments until rates fall significantly, then rapid acceleration)."
Customer behavior:- "Customers may not reprice in lockstep with market. Model repricing lags."
- "Relationship depositors (small business) are stickier than rate-chasers (large corporations)."
5. Risk Limits and Tolerances
The Handbook provides guidance on reasonable limits:
EVE sensitivity:
- "A limit of 10-15% of capital for a 200 bps shock is typical for regional banks."
- "Large, sophisticated banks with active hedging programs may have tighter limits (5-10%)."
- "Community banks may have looser limits (15-20%)."
NII sensitivity:- "A limit of 5% for a 200 bps shock is reasonable."
- "Some banks use earnings-at-risk (EAR) limits instead: NII volatility should not exceed X% of expected net income."
Duration gap:- "Some banks use duration gap limits: the absolute value of duration gap should not exceed 2-3 years."
- "This is a secondary metric, not as important as EVE."
How to Use the Handbook as an ALM Professional
1. Read it. Seriously. It's well-written and foundational.
2. Build your models using Handbook guidance. Your EVE model should follow Handbook methodology (discounted cash flow, proper scenario selection, reasonable assumptions).
3. Document your assumptions against the Handbook. "Our deposit beta is 70%, based on [historical data]. The Handbook suggests deposit betas of 50-80% depending on competitive environment; our 70% is reasonable."
4. When examiners ask questions, reference the Handbook. If an examiner says, "Your IRR policy doesn't have a specific EVE limit," you can say, "You're right, we'll add one. The Handbook suggests 10-15% of capital; we'll propose 12%."
5. Use it to push back on overly conservative constraints. If business lines say your funding allocation is too tight, you can model the EVE impact using Handbook methodology, show it's within policy, and argue for higher allocation.
Takeaway
The OCC Interest Rate Risk Handbook is:
- The gold standard for interest rate risk management in national banks
- Specific on measurement methodologies
- Thorough on assumptions and limitations
- Clear on governance and limits
- A document you should reference regularly
If your bank follows the Handbook, you have solid ALM. If you deviate, be prepared to explain why.
The OCC Handbook: Deep Application in Real ALM Scenarios
Building an EVE Model to Handbook Standards
Let me walk through how to construct an EVE model that meets OCC Handbook standards.
Step 1: Repricing Schedule
Under the Handbook, you must create a detailed repricing schedule for each asset and liability. Example:
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ASSETS
Category | Book Value | Interest Rate | Repricing Period | Rate Sensitivity
30-year Mortgages | $20,000M | 6.50% | At maturity (30 yr) | Fixed; prepayment risk
ARM Mortgages | $3,000M | 5.50% (index) + 2.5% | 6 months | Float; index-sensitive
5-year Commercial Loans | $8,000M | 7.00% | 5 years | Fixed; some prepayment
Floating-rate Commercial | $4,000M | Prime + 1.5% | 1 month | Float; tied to Fed funds
Treasury Securities | $2,000M | 4.50% | 1, 3, 10 years | Fixed; maturity schedule
Agency MBS | $3,000M | 4.75% | ~5 yr (average) | Fixed; prepayment risk
Total Assets | $40,000M | | |
LIABILITIES & EQUITY
Category | Book Value | Interest Rate | Repricing Period | Rate Sensitivity
Demand Deposits | $15,000M | 0.50% (MMDA) | Instantaneous | Float; deposit beta
Time Deposits (3-yr) | $8,000M | 4.50% | 3 years | Fixed at maturity
Time Deposits (1-yr) | $5,000M | 4.75% | 1 year | Fixed at maturity
Wholesale CDs | $3,000M | 4.80% | 1 year | Fixed at maturity
Senior Unsecured Debt (5-yr) | $6,000M | 4.50% | 5 years | Fixed at maturity
Equity | $3,000M | N/A | N/A | Absorbs all losses
Total Liabilities & Equity | $40,000M | | |
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Step 2: Scenario Definition
Under the Handbook, use the Fed's standard scenarios:
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Scenario 1: +200 bps (immediate, parallel)
Current: Mortgages 6.50%, Deposits 4.50%
After: Mortgages 8.50%, Deposits 6.50% (assuming 100% deposit beta)
Scenario 2: -200 bps (immediate, parallel)
Current: Mortgages 6.50%, Deposits 4.50%
After: Mortgages 4.50%, Deposits 2.50% (but floor at 0% for deposit rates)
Scenario 3: Yield curve steepens (+200 short, +50 long)
Scenario 4: Yield curve flattens (-100 short, +100 long)
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Step 3: Cash Flow Projection
For each asset and liability, project cash flows under each scenario.
Example: 30-year mortgage at 6.50%
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Year | Payment | Principal | Interest | New Balance
1 | $127.2k | $27.2k | $100k | $9,972.8M
2 | $127.2k | $28.8k | $98.4k | $9,944k
...
30 | $127.2k | $126.7k | $0.5k | $0
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But adjust for prepayment risk. Under the -200 scenario:
- Mortgage at 6.50% becomes 4.50% (200 bps lower)
- In historical experience, prepayments accelerate when rates fall this much
- Model: 50% CPR (conditional prepayment rate; 50% of the mortgage cohort prepays in year 1)
Cash flows then look like:
`
Year 1 with 50% prepayment:
- Normal payment: $127.2M
- Prepayment: $5M of principal
- Total cash flow: $5M principal + $100M interest
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This is where the OCC Handbook emphasizes: "Prepayment models should be reasonable and validated against historical data."
Step 4: Discounting
Under the Handbook, discount all cash flows using the new rate scenario.
For the +200 bps scenario:
- New mortgage rate: 8.50%
- Discount rate for mortgages: 8.50%
- PV = sum of [CF_t / (1.085)^t]
Example: $100 cash flow in Year 1
- PV = $100 / 1.085 = $92.17
Repeat for all cash flows, all assets, all liabilities, all time periods.
Sum up: Total PV of all assets - Total PV of all liabilities = EVE
Step 5: Calculate EVE Impact
Base case (current rates):
- PV of assets: $40,500M
- PV of liabilities: $37,800M
- EVE (base): $2,700M
After +200 bps shock:
- PV of assets: $38,200M (mortgages and bonds fall in value)
- PV of liabilities: $37,200M (deposits and debt fall in value, but less than assets because they're shorter duration)
- EVE (+200): $1,000M
EVE impact: $1,000M - $2,700M = -$1,700M
EVE impact as % of capital: $1,700M / $3,000M = 56.7%
Oops. This exceeds a 12% limit. Why is it so high? Because your mortgages are long-duration and your deposits are short-duration. You're asset-sensitive.
Now you'd model a hedge. Sell $10B in MBS, shorten duration. Recalculate. EVE impact: -$900M (30% of capital). Still above limit? Sell another $10B. Eventually get to 12%.
This is how real ALM works: you model until you're within policy.
Handbook Guidance on Deposit Behavior: The SVB Lesson
The Handbook says: "In stress scenarios, deposit behavior may change materially."
SVB assumed 5% daily runoff. The Handbook suggests:
- Insured deposits: 5% runoff in stress
- Uninsured deposits (especially institutional): 25-50% runoff in stress
- If the bank is losing confidence, uninsured deposits can run 80%+ in days
So a bank with 92% uninsured deposits (like SVB) should model a scenario where 80% leaves in 30 days. The Handbook doesn't mandate this explicitly, but it says assumptions should be "reasonable and validated."
Post-SVB, examiners now ask: "Does your stress scenario include an uninsured deposit outflow consistent with your deposit mix?"
Handbook Guidance on Model Governance
The Handbook emphasizes:
"The board should ensure that interest rate risk models are independently validated at least annually. Validation should include:
1. Back-testing the model against actual results
2. Benchmarking assumptions against peer banks and industry data
3. Stress-testing the model itself (e.g., what if the deposit beta assumption is wrong?)
4. Assessing the model's limitations and communicating them to management"
This is where many banks fall short. They build a model, run it monthly, but don't validate it. Post-SVB, examiners are asking for validation evidence.
Handbook Guidance on Hedging
The Handbook is clear: "Banks may use derivatives to hedge interest rate risk, but hedges must be documented and the economic intent must be clear."
Example: You have $20B in fixed-rate mortgages. You want to hedge 50% of the rate risk. You:
1. Document the intent: "We enter interest rate swaps to reduce the EVE impact of a rate decline from 11% to 6% of capital."
2. Identify the hedge instrument: "We will enter pay-fixed, receive-floating swaps, notional $10B, 5-year tenor, at current market rate of 4.50%."
3. Model the impact: Show that with the hedge in place, EVE sensitivity is now acceptable.
4. Account for it: Is this a "hedge" under accounting standards (FAS 133)? Or is it "economic hedging" (not designated, but effective)? Communicate clearly.
The Handbook allows hedging but expects you to be explicit about what you're hedging and why.
Handbook on Limits and Tolerances
The Handbook provides guidance:
"Most banks establish an EVE limit in the range of 10-15% of capital for a 200 basis point interest rate shock. The appropriate limit depends on:
1. Bank size (larger banks typically have tighter limits)
2. Complexity of balance sheet (more complex, tighter limits)
3. Risk appetite (more conservative boards, tighter limits)
4. Earnings volatility (banks with stable earnings can tolerate more rate risk)"
So a large bank might set 10%; a mid-size bank, 12%; a community bank, 15%.
The Handbook also suggests: "Limits should be calibrated to be breached occasionally (e.g., 1-2 times per year) but not regularly. A limit that is never breached is too loose. A limit that is always breached is meaningless."
Real Scenario: Using the Handbook to Defend a Position
Mortgage: "We want to book $2B in mortgages next quarter, but ALM says we can only do $800M due to EVE limits. The Handbook says limits should be 10-15%. We're at 11%. Why can't we do more?"
ALM: "Good question. The $2B would push EVE sensitivity from 11% to 14%, which exceeds our policy limit of 12%. The Handbook suggests 10-15% is reasonable, so 12% is within the range. But our Board approved 12% for this bank, and we need to stick to it."
Mortgage: "So ALCO could change the policy to 14%?"
ALM: "Possibly. That would be within Handbook guidance. But it would require board approval. Do you want to propose that?"
Mortgage: "What would the impact be?"
ALM: "A 14% EVE limit would give us $1.8B of mortgage capacity instead of $800M. That's roughly 23% more mortgages. Cost: if rates fall 200 bps, your equity value falls by 14% of capital instead of 12%. Is that acceptable to your board?"
Mortgage: "I'll check with the board."
Notice: The Handbook provides a framework for the conversation. It's not "no, we can't do this." It's "yes, we can, but here's the trade-off."
Takeaway
The OCC Handbook is:
- Prescriptive on methodology (EVE, gap analysis, scenarios)
- Flexible on limits and assumptions (but they must be reasonable)
- Emphatic on governance (board policy, independent validation, escalation)
- Clear on stress scenarios (Fed scenarios + bank-specific)
- Insistent on documentation (every assumption should be documented and justified)
Master it. Use it. Reference it when examiners call.