Public-Data Research Monitor

SLR Watch

Monitoring how the Supplementary Leverage Ratio shapes large-bank Treasury holdings and balance-sheet behavior—using free public regulatory data from FFIEC Call Reports, FR Y-9C, FR Y-15, NY Fed dealer statistics, and FINRA TRACE.

35
Balanced-Core Banks
The map-backed balanced coverage core now includes 35 fully balanced SLR-reporting banks, while the treatment-defined Treasury rows inside it still estimate on a 19-bank 2019Q4-baseline subset.
+9.11pp
Low-Headroom Safe-Asset Shift
Low-headroom banks shifted their safe-asset mix toward Treasuries rather than Fed reserve balances.
73.3%
Family Co-Movement
Bank and parent Treasury-share changes moved in the same direction in the linked quarter-over-quarter sample.
Inference note. Under parent-level clustering in the map-backed flagship sample (16 clusters), the Treasury coefficients are weak and unstable (low headroom −0.59pp, p = 0.690; covered-bank / direct eligibility −0.23pp, p = 0.911). The placebo grid is quiet, but the current causal read is inconclusive, not positive proof.

Core Results

Event-Study Findings

The flagship design now compares a map-backed direct-treatment roster to comparison banks around the 2020 temporary SLR exclusion window. After broadening the direct-treatment population, the Treasury signal is currently small and imprecise rather than robustly positive.

Coefficient Comparison: Treasury Inventory / Assets
DiD coefficient across the primary core, expanded sensitivity, and clustered flagship variants · Outcome: Treasury inventory scaled by total assets
Primary core (Universe D)
Expanded sensitivity (Universe E)
Flagship clustered (Universe F)
Filled = p < 0.05  |  Hollow = p ≥ 0.05

What holds up

The sample architecture is clearer: 5,488 insured-bank filers in the descriptive layer, 37 SLR reporters, a 35-bank balanced coverage core, and a committed treatment roster. The covered-bank / direct-eligibility split remains the cleaner regulatory treatment, and its pretrend and placebo diagnostics are comparatively quiet.

What does not

The Treasury response no longer survives the broadened treatment map. In the treatment-defined Treasury core, low headroom is −0.15pp (p = 0.813) and covered bank / direct eligibility is +0.40pp (p = 0.570); both clustered flagship variants are weaker still, and leave-one-parent-out ranges cross zero for both splits.

61626
Descriptive-universe observations
5488
Descriptive-universe entities
426
Universe B observations
37
Universe B entities
420
Universe D observations
35
Universe D entities
192
Flagship sample observations
16
Parent clusters (flagship)

Research Design

Method

A panel event study around the 2020 temporary SLR exclusion window, using difference-in-differences with entity and time fixed effects.

Why SLR Matters for Treasury Markets

The Supplementary Leverage Ratio requires large banks to hold Tier 1 capital against all on-balance-sheet assets and certain off-balance-sheet exposures, without risk-weighting. Unlike risk-based capital ratios, SLR treats Treasuries the same as corporate loans in the denominator. For banks near the binding constraint, every dollar of Treasuries consumes scarce leverage capacity—creating a direct link between capital regulation and Treasury-market intermediation.

GSIB parent holding companies face a 5% enhanced SLR (eSLR) minimum, while their covered insured-bank subsidiaries must maintain 6% to be classified as well-capitalized. The 2025 final rule recalibrates these buffers to 3% + 0.5 × method 1 surcharge for parents and 3% + min(1pp, 0.5 × parent surcharge) for subsidiaries, effective April 2026.

The 2020 Natural Experiment

The repo treats 2020–Q2 as the first treated Call Report quarter in the temporary SLR exclusion window. April 1, 2020 marks the holding-company rule, and June 2020 is the first insured-bank Call Report quarter that can reflect direct depository-institution relief.

The event window runs from 2019–Q1 through 2021–Q4, with the pre-period ending at 2020–Q1 and the post-treatment period beginning at 2020–Q2. This gives four pre-treatment quarters and seven post-treatment quarters.

1

Sample Construction

The repo now starts from the full insured-bank Call Report filing universe in the staged FFIEC bulk data: 5,488 entities and 61,626 bank-quarter observations in the 2019–Q1 to 2021–Q4 descriptive layer. The causal sample is then narrowed explicitly: 37 SLR-reporting insured banks in Universe B, 20 treatment-definable banks in Universe C with a usable joint 2019–Q4 baseline, 35 fully balanced banks in the primary coverage core (Universe D), 19-bank treatment-defined Treasury cores inside Universe D, and 16 banks / 16 parent clusters in the flagship per-parent sample (Universe F).

The repo publishes a sample manifest, a sample ladder, a treatment roster, and a methodology memo in the event-study outputs so the exact included entities, direct-treatment classifications, and exclusion reasons are visible rather than implied by aggregate counts.

2

Treatment Definitions

Three treatment arms, each splitting the sample on a pre-shock characteristic measured as of 2019–Q4:

  • Low SLR headroom — banks whose pre-shock headroom (actual SLR minus required SLR) fell in the bottom tercile of the sample. This is now treated as a heterogeneity split rather than the headline regulatory treatment.
  • Covered bank / direct eligibility — the compatibility label remains covered_bank_treated, but the source of truth is now a committed 2020 direct-relief map rather than the older covered-bank seed alone. This is the cleaner regulatory-treatment margin.
  • High pre-shock Treasury share — banks in the top tercile of Treasury inventory as a share of assets. This arm tests whether banks already holding more Treasuries responded differently; it does not produce a robust result.
3

Specification

The baseline is a two-way fixed-effects difference-in-differences model:

Yit = αi + γt + β · (Treatedi × Postt) + εit

Entity fixed effects (αi) absorb time-invariant bank characteristics; quarter fixed effects (γt) absorb common macro shocks including aggregate market conditions. The coefficient of interest β measures the differential change in outcomes for treated banks after the exclusion. Standard errors use HC1 heteroskedasticity-robust inference in the baseline, with parent-family clustering as the strictest check.

4

Outcome Variables

All outcomes are drawn from FFIEC Call Report schedules and scaled by total assets to ensure comparability across bank sizes:

  • Treasury inventory (fair value) — the primary outcome; sum of HTM, AFS, and trading-account Treasuries
  • Fed reserve balances — balances due from Federal Reserve Banks
  • Reverse repos and trading assets — captures intermediation activity
  • Deposit and loan growth — tracks whether changes reflect reallocation or general balance-sheet expansion
5

Market Controls

Quarter-level market conditions—NY Fed primary-dealer positions, UST repo volumes, and TRACE aggregate par value—are absorbed by the quarter fixed effects in the baseline specification. The repo additionally reports an interaction sensitivity (Treatedi × Postt × Markett) and a weaker auxiliary specification without time fixed effects that lets raw market levels enter directly. Neither overturns the baseline read.

Clustered-inference caveat. With 16 parent clusters in the flagship sample, asymptotic cluster-robust variance estimates are known to over-reject. The repo reports both HC1 and parent-clustered standard errors; readers should weight the clustered column as the conservative bound. The clustered pretrend checks are quieter than the point estimates, and the placebo grid is null across all three Treasury windows, but the clustered Treasury coefficients themselves are weak and leave-one-parent-out ranges cross zero for both low-headroom and covered-bank splits.

Mechanism Evidence

How Constrained Banks Responded

Five current extension reports build a mechanism story: reallocation away from other balance-sheet uses, a shift in safe-asset composition toward Treasuries, consistency with family-level transmission, and a possible reduction in trading-balance-sheet use.

Balance-Sheet Reallocation

The Treasury response came alongside weaker expansion elsewhere on the balance sheet. Constrained banks appear to reallocate scarce capacity rather than simply growing everything.

Net Treated − Control Change by Outcome
Positive = treated group changed more; Negative = control group changed more · 2019–2021 event window
Treasury Inventory Fed Balances Deposit Growth Loan Growth
Low Headroom +2.47pp +0.26pp −3.52pp −1.65pp
Covered Bank +0.68pp +0.66pp −3.93pp −2.11pp

Safe-Asset Composition

The main difference is composition within safe assets, not just the level of Fed balances. That compositional shift is concentrated in the low-headroom split, where Treasury share of safe assets rises by about 9.1 percentage points more than controls. The covered-bank / direct-eligibility split is much flatter.

Safe-Asset Reallocation
Net treated − control change by safe-asset category
Treasury Share of Safe Assets
Treasury Inventory / Assets
Fed Balances / Assets

Treasury Intermediation Tradeoff

Low-headroom banks reduced trading-balance-sheet use while absorbing more Treasuries. The strongest market linkages remain between treated-minus-control trading-assets gaps and NY Fed dealer-position context (correlation up to 0.82).

Trading Assets vs. Treasury Inventory
Net treated − control change · Top: trading assets (negative); Bottom: Treasury inventory (positive)
Trading Assets / Assets
Treasury Inventory / Assets

Parent–Bank Transmission

The insured-bank Treasury result sits inside broader family-level balance-sheet behavior. Linked-family analysis now covers 407 bank-parent quarter observations across 16 parent families.

Directional Co-Movement
Share of quarter-over-quarter changes moving in the same direction for bank and parent
High vs. Low Surcharge Families
Dumbbell comparison: red = high surcharge, blue = low surcharge
High-Surcharge Families
Low-Surcharge Families

High-surcharge families show lower average bank headroom (0.87pp vs. 1.90pp), consistent with tighter SLR constraints driving more pronounced balance-sheet responses.

Broader View

Policy Regime Context

A longer quarterly panel places the 2020 event in context. The temporary exclusion window stands out most clearly in reserve accumulation, while Treasury share rose modestly. Over the subsequent QT era, parent trading-assets share declined as dealer positions and TRACE par volume grew.

Regime Comparison
Key balance-sheet shares across policy periods (29 quarters, 2019–2026)
Earlier regime
Later regime

Market Growth

  • NY Fed dealer net UST positions grew 118.9% over the full sample
  • UST repo volume grew 91.6%
  • TRACE total par volume grew 15.2%

Balance-Sheet Shifts

  • Insured-bank Fed-balance share nearly doubled during the temporary exclusion (7.75% to 15.09%)
  • Parent trading-assets share fell from 9.66% to 9.03% between the exclusion and QT eras
  • Treasury share rose modestly from 6.15% to 6.45%

Extension

Which Constraint Matters in Which Regime?

The 2020 event study isolates the SLR channel. But leverage headroom is not the only pressure that shapes bank Treasury capacity. This module decomposes balance-sheet constraints into leverage, duration-loss, and funding pressure across insured-bank and parent/IHC panels through 2025Q4.

Constraint Mix by Regime and Panel
Share of bank-quarters where each constraint scores highest · Scorecard combines SLR headroom, unrealized-loss proxies, deposit/funding metrics, and liquidity buffers
Leverage
Duration Loss
Funding
65.9%
Banks: duration-loss dominant in 2022–2023
63.0%
Parents: duration-loss dominant in 2022–2023
539
Insured-bank observations
393
Parent / IHC observations
64.8%
Linked families match in 2022–2023
48.6%
Both bank and parent duration-loss dominated

Regime shift

In the 2022–2023 duration-loss window, duration pressure becomes the dominant constraint for both insured banks (65.9%) and parents/IHCs (63.0%). By late QT normalization, insured banks still lean duration loss at 42.1%, while parents shift back toward leverage at 35.4%.

Family alignment

Linked families match on the dominant constraint in 64.8% of duration-loss-window family-quarters, and both sides are duration-loss dominated in 48.6% of those observations. The 2022–2023 regime is the first period where joint duration-loss dominance becomes common.

Supporting regressions

On the parent panel, higher duration pressure is associated with higher Treasury share in the 2022–2023 window (0.027, p = 0.001) and lower Treasury share in late QT (−0.034, p = 0.026). Bank-side results are weaker. This is supporting evidence, not a separate causal claim.

Scope note. The decomposition extends the project's question from “did SLR relief matter in 2020?” to “which constraint matters in which regime?” Its results are descriptive and should be read as a complement to the 2020 event study, not a standalone causal design.

Public Data

Data Sources

All data comes from free public regulatory filings and market-data APIs. No proprietary feeds, no paywalled datasets.

FFIEC Call Reports

Insured-Bank Panel

The main empirical panel. Bulk schedule files provide bank-level total leverage exposure, Tier 1 capital, Treasury holdings, Fed balances, repos, trading assets, loans, and deposits.

Quarterly Automated
FR Y-9C

Parent Holding Companies

Parent-level Tier 1 capital, total leverage exposure, Treasury holdings, and trading assets. Historical files from the Chicago Fed archive; current data via NIC automation.

Quarterly Automated
FR Y-15

Systemic Risk Indicators

Method 1 surcharge context and GSIB systemic-intensity overlays. Snapshot files parsed via Playwright; surcharge scores from the OFR Basel workbook.

Annual Automated
NY Fed Primary Dealers

Market Context

Weekly aggregate data on dealer Treasury positions, transactions, repo, reverse repo, and securities lending. Collapsed to quarterly market-context overlay via the official Markets Data API.

Weekly Automated
FINRA TRACE

Treasury Trading Context

Free public aggregate data on Treasury par volume and trade counts. Weekly archive files for 2019–2022; monthly workbooks for 2023+. Treated as market-level context only.

Weekly / Monthly Semi-automated
OFR BSRM

Enrichment

Bank Systemic Risk Monitor scores used to build the annual Basel-method surcharge overlay. Provides ranking context and systemic-intensity data for GSIB identification.

Mixed Automated

Pipeline Overview

1

Ingest

Automated downloaders fetch Call Report bulk ZIPs, FR Y-9C files, FR Y-15 snapshots, NY Fed API data, and TRACE aggregates into standardized raw storage.

2

Stage

Raw files are extracted, merged by schedule, and normalized into Parquet with variable lineage and quality checks.

3

Derive

A curated crosswalk links entities across sources. Insured-bank and parent panels are assembled with rule-aware SLR headroom, Treasury-capacity metrics, and market overlays.

4

Analyze

The event-study workflow runs DiD estimates, event-time coefficients, and extension reports. All outputs are written to reproducible report directories.

Output

Reports

The repo generates structured report outputs covering the core event study, five current extension analyses, market context, and a live constraint-decomposition module.

Findings Memo

Integrated summary of all results, caveats, and recommended framing for the v1 release.

2020 Event Study

Core DiD estimates and event-time coefficients for the temporary exclusion window. Includes the explicit A–F sample ladder, primary vs expanded causal variants, flagship clustered inference, the treatment roster, placebo grid, and a GPT Pro handoff prompt.

Balance-Sheet Reallocation

Treated-versus-control change decomposition across Treasury, Fed balances, deposits, and loans.

Safe-Asset Absorption

Composition analysis separating Treasuries from Fed reserve balances within the safe-asset portfolio.

Parent–Bank Transmission

Linked-family analysis comparing bank-subsidiary and parent-company balance-sheet changes within the same corporate family.

Treasury Intermediation

Sensitivity analysis linking trading-assets and Treasury-inventory responses to dealer-position and repo market context.

Policy Regime Panel

Broader quarterly panel with regime averages across pre-exclusion, temporary exclusion, post-exclusion normalization, and QT era.

Market Context

NY Fed dealer statistics and TRACE aggregate data providing Treasury-market backdrop for the bank-level analysis.

Constraint Decomposition

Cross-regime comparison of leverage headroom, duration-loss pressure, and funding stress for insured banks and parents through 2025Q4, with family-alignment summaries and a supporting interaction-regression layer.

Headline-bank roster

The Treasury headline currently estimates on a 19-bank 2019Q4-baseline core. The stricter clustered flagship keeps one bank per parent and uses 16 banks.

19-bank Treasury core: American Express National Bank; BANK OF AMERICA, NATIONAL ASSOCIATION; BANK OF NEW YORK MELLON, THE; CAPITAL ONE BANK (USA), NATIONAL ASSOCIATION; CAPITAL ONE, NATIONAL ASSOCIATION; CHARLES SCHWAB BANK, SSB; CITIBANK, N.A.; Charles Schwab Premier Bank, SSB; Charles Schwab Trust Bank; GOLDMAN SACHS BANK USA; HSBC BANK USA, NATIONAL ASSOCIATION; JPMORGAN CHASE BANK, NATIONAL ASSOCIATION; MORGAN STANLEY BANK, N.A.; NORTHERN TRUST COMPANY, THE; PNC BANK, NATIONAL ASSOCIATION; STATE STREET BANK AND TRUST COMPANY; TD BANK, NATIONAL ASSOCIATION; U.S. BANK NATIONAL ASSOCIATION; WELLS FARGO BANK, NATIONAL ASSOCIATION

16-bank clustered flagship: American Express National Bank; BANK OF AMERICA, NATIONAL ASSOCIATION; BANK OF NEW YORK MELLON, THE; CAPITAL ONE, NATIONAL ASSOCIATION; CHARLES SCHWAB BANK, SSB; CITIBANK, N.A.; GOLDMAN SACHS BANK USA; HSBC BANK USA, NATIONAL ASSOCIATION; JPMORGAN CHASE BANK, NATIONAL ASSOCIATION; MORGAN STANLEY BANK, N.A.; NORTHERN TRUST COMPANY, THE; PNC BANK, NATIONAL ASSOCIATION; STATE STREET BANK AND TRUST COMPANY; TD BANK, NATIONAL ASSOCIATION; U.S. BANK NATIONAL ASSOCIATION; WELLS FARGO BANK, NATIONAL ASSOCIATION

The per-parent reduction drops duplicate-parent subsidiaries from the 19-bank core: CAPITAL ONE BANK (USA), NATIONAL ASSOCIATION; Charles Schwab Premier Bank, SSB; Charles Schwab Trust Bank.

Full inclusion flags and 2020 treatment-map fields remain in output/reports/event_2020/treatment_roster.csv.