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arxiv: 2606.30381 · v1 · pith:LCW2BVQVnew · submitted 2026-06-29 · 💰 econ.GN · q-fin.EC

Bank Earnings, Credit Supply & the Macroeconomy: Evidence from Canada

Santiago Camara , Sanaa Latif This is my paper

Pith reviewed 2026-06-30 03:21 UTC · model grok-4.3

classification 💰 econ.GN q-fin.EC
keywords bank net worthcredit supply shocksearnings announcementscorporate spreadshigh-frequency identificationCanadian macroeconomyintermediary asset pricing
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The pith

Purged bank net-worth shocks from earnings announcements lower corporate spreads and raise Canadian real activity.

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

The paper constructs high-frequency shocks to the net worth of Canada's six large banks by measuring stock-price reactions around their earnings announcements. Guided by a model in which higher intermediary net worth expands credit supply, it purges the raw equity surprises using their co-movement with Canadian corporate spreads to isolate pure credit-supply shocks. Favorable versions of these shocks reduce corporate borrowing spreads, lift bank and broad equity valuations, appreciate the Canadian dollar, and raise real activity over the medium run. The findings indicate that bank earnings news is macroeconomically relevant in concentrated banking systems.

Core claim

This paper shows that favorable purged credit-supply bank net-worth shocks lower corporate spreads, raise bank valuations and broader equity prices, appreciate the Canadian dollar, and increase real activity over the medium run. The results are robust across specifications, samples, and additional outcomes.

What carries the argument

Purged credit-supply bank net-worth shocks identified from high-frequency equity-price reactions around earnings announcements, isolated by co-movement with corporate spreads per the intermediary net-worth model.

If this is right

  • Bank earnings news propagates to aggregate financial conditions through credit supply.
  • Credit-supply shocks identified this way have persistent effects on output and the exchange rate.
  • The mechanism operates in a concentrated banking system such as Canada's.
  • Bank balance-sheet information is macroeconomically relevant beyond narrow financial markets.

Where Pith is reading between the lines

These are editorial extensions of the paper, not claims the author makes directly.

  • The same earnings-announcement approach could be applied to other concentrated banking systems to test external validity.
  • Monetary policy might interact with these bank net-worth shocks through their effect on credit spreads.
  • If the purging step is valid, similar high-frequency bank shocks could help identify credit-supply effects in vector autoregressions.
  • The results suggest earnings surprises contain useful information for nowcasting or forecasting aggregate credit conditions.

Load-bearing premise

The co-movement between bank equity prices and corporate spreads can isolate pure credit-supply shocks from other information in earnings surprises.

What would settle it

No detectable rise in real activity or fall in corporate spreads after the same earnings dates when an alternative method fails to purge the raw bank-equity surprises.

Figures

Figures reproduced from arXiv: 2606.30381 by Sanaa Latif, Santiago Camara.

Figure 1
Figure 1. Figure 1: Stylized Model Economy Notes: Households supply deposits and equity to banks. Banks enter with net worth, face leverage and external-equity-issuance frictions, and supply loans to firms. Higher bank net worth relaxes effective lending capacity, raises aggregate lending, lowers spreads, and increases the equity value of the bank receiving the net-worth shock. Timing. At t = 0, intermediary i enters with net… view at source ↗
Figure 2
Figure 2. Figure 2: Canadian Banks’ Shares in Aggregate Market Capitalization [PITH_FULL_IMAGE:figures/full_fig_p020_2.png] view at source ↗
Figure 3
Figure 3. Figure 3: Stock-Price Responses to Bloomberg Earnings Surprises: Pooled Canadian [PITH_FULL_IMAGE:figures/full_fig_p024_3.png] view at source ↗
Figure 4
Figure 4. Figure 4: Bank Stock-Price Reactions and Canadian Corporate OAS Changes [PITH_FULL_IMAGE:figures/full_fig_p027_4.png] view at source ↗
Figure 5
Figure 5. Figure 5: Raw and Purged Canadian Bank Net-Worth Supply Shocks [PITH_FULL_IMAGE:figures/full_fig_p030_5.png] view at source ↗
Figure 6
Figure 6. Figure 6: Macroeconomic Propagation of Credit-Supply Bank Net-Worth Shocks [PITH_FULL_IMAGE:figures/full_fig_p035_6.png] view at source ↗
Figure 7
Figure 7. Figure 7: Financial-Price Responses to Bank Net-Worth Supply Shocks [PITH_FULL_IMAGE:figures/full_fig_p037_7.png] view at source ↗
Figure 8
Figure 8. Figure 8: Credit Quantity Responses to Bank Net-Worth Supply Shocks [PITH_FULL_IMAGE:figures/full_fig_p038_8.png] view at source ↗
Figure 9
Figure 9. Figure 9: Macroeconomic Propagation of Raw Bank Equity Surprises [PITH_FULL_IMAGE:figures/full_fig_p040_9.png] view at source ↗
Figure 10
Figure 10. Figure 10: Macroeconomic Propagation of Poor Man’s Credit-Supply Bank Net-Worth [PITH_FULL_IMAGE:figures/full_fig_p042_10.png] view at source ↗
Figure 11
Figure 11. Figure 11: Macroeconomic Effects of Bank-Induced Corporate Spread Movements [PITH_FULL_IMAGE:figures/full_fig_p044_11.png] view at source ↗
Figure 12
Figure 12. Figure 12: Bank-Level Stock-Price Responses to Bloomberg Earnings Surprises [PITH_FULL_IMAGE:figures/full_fig_p071_12.png] view at source ↗
Figure 13
Figure 13. Figure 13: Pooled Autocorrelation of Announcement-Window Stock-Price Reactions [PITH_FULL_IMAGE:figures/full_fig_p073_13.png] view at source ↗
Figure 14
Figure 14. Figure 14: Bank-Level Autocorrelation of Announcement-Window Stock-Price Reactions: [PITH_FULL_IMAGE:figures/full_fig_p074_14.png] view at source ↗
Figure 15
Figure 15. Figure 15: Bank-Level Autocorrelation of Announcement-Window Stock-Price Reactions: [PITH_FULL_IMAGE:figures/full_fig_p075_15.png] view at source ↗
Figure 16
Figure 16. Figure 16: Bank-Level Stock-Price Reactions and Canadian Corporate OAS Changes [PITH_FULL_IMAGE:figures/full_fig_p077_16.png] view at source ↗
Figure 17
Figure 17. Figure 17: Macroeconomic Effects of Bank Net-Worth Supply Shocks: [PITH_FULL_IMAGE:figures/full_fig_p083_17.png] view at source ↗
Figure 18
Figure 18. Figure 18: Macroeconomic Effects of Bank Net-Worth Supply Shocks: [PITH_FULL_IMAGE:figures/full_fig_p084_18.png] view at source ↗
Figure 19
Figure 19. Figure 19: Macroeconomic Effects of Bank Net-Worth Supply Shocks: Two-Lag Specifi [PITH_FULL_IMAGE:figures/full_fig_p085_19.png] view at source ↗
Figure 20
Figure 20. Figure 20: Macroeconomic Effects of Bank Net-Worth Supply Shocks: Linear Trend [PITH_FULL_IMAGE:figures/full_fig_p086_20.png] view at source ↗
Figure 21
Figure 21. Figure 21: Macroeconomic Effects of Bank Net-Worth Supply Shocks: Pre-2020 Sample [PITH_FULL_IMAGE:figures/full_fig_p087_21.png] view at source ↗
Figure 22
Figure 22. Figure 22: Macroeconomic Effects of Bank Net-Worth Supply Shocks: Post-2010 Sample [PITH_FULL_IMAGE:figures/full_fig_p088_22.png] view at source ↗
Figure 23
Figure 23. Figure 23: Benchmark Responses Excluding RBC Notes: This figure reports impulse responses to the median-rotation credit-supply bank net-worth shock after removing RBC from the shock-construction sample. The shock is reconstructed using the remaining banks and the benchmark local-projection specification is re-estimated. The specification uses the same outcomes, controls, normalization, horizon, COVID-period dummy, a… view at source ↗
Figure 24
Figure 24. Figure 24: Benchmark Responses Excluding TD Notes: This figure reports impulse responses to the median-rotation credit-supply bank net-worth shock after removing TD from the shock-construction sample. The shock is reconstructed using the remaining banks and the benchmark local-projection specification is re-estimated. The specification uses the same outcomes, controls, normalization, horizon, COVID-period dummy, and… view at source ↗
Figure 25
Figure 25. Figure 25: Benchmark Responses Excluding RBC and TD [PITH_FULL_IMAGE:figures/full_fig_p092_25.png] view at source ↗
Figure 26
Figure 26. Figure 26: Sectoral GDP Responses to Bank Net-Worth Supply Shocks: Goods and [PITH_FULL_IMAGE:figures/full_fig_p094_26.png] view at source ↗
Figure 27
Figure 27. Figure 27: Sectoral GDP Responses to Bank Net-Worth Supply Shocks: Disaggregated [PITH_FULL_IMAGE:figures/full_fig_p095_27.png] view at source ↗
Figure 28
Figure 28. Figure 28: Labor-Market Responses to Bank Net-Worth Supply Shocks [PITH_FULL_IMAGE:figures/full_fig_p096_28.png] view at source ↗
read the original abstract

This paper studies whether news about banks' balance sheets propagates to aggregate financial conditions and macroeconomic activity. We construct high-frequency Canadian bank net-worth shocks using stock-price reactions around earnings announcements of the six large Canadian banks. Guided by a model in which higher intermediary net worth expands credit supply and lowers borrowing spreads, we use the co-movement between bank equity prices and Canadian corporate spreads to purge raw bank equity surprises from contaminating information. Favorable purged credit-supply bank net-worth shocks lower corporate spreads, raise bank valuations and broader equity prices, appreciate the Canadian dollar, and increase real activity over the medium run. The results are robust across specifications, samples, and additional outcomes, and suggest that bank earnings news is macroeconomically relevant in concentrated banking systems.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit. Tearing a paper down is the easy half of reading it; the pith above is the substance, this is the friction.

Referee Report

2 major / 2 minor

Summary. The paper constructs high-frequency Canadian bank net-worth shocks from stock-price reactions to earnings announcements of the six large banks. Guided by an intermediary net-worth model, it purges raw equity surprises using their co-movement with Canadian corporate spreads to isolate credit-supply shocks. Favorable purged shocks are shown to lower corporate spreads, raise bank and broad equity valuations, appreciate the CAD, and raise real activity over the medium run, with claims of robustness across specifications and samples.

Significance. If the identification is valid, the results provide evidence that bank earnings news transmits to aggregate financial conditions and macro activity via credit supply in a concentrated banking system. The high-frequency event-study design and use of external market data for purging are methodological strengths that allow falsifiable tests of intermediary models.

major comments (2)
  1. [Identification section (purging procedure)] Identification section (purging procedure): the claim that the residual after projecting bank equity surprises onto corporate spreads isolates pure credit-supply shocks is load-bearing for all subsequent impulse responses, yet the procedure does not rule out that earnings news simultaneously moves spreads through aggregate-demand or firm-profitability channels; without additional orthogonality tests or placebo exercises this leaves the causal interpretation vulnerable.
  2. [Results section (impulse responses)] Results section (impulse responses): the reported medium-run effects on real activity and the CAD rest on the purged series; if the skeptic concern holds and residual demand news remains, the positive co-movement with equity prices and negative co-movement with spreads could be mechanical rather than evidence of a distinct credit-supply channel.
minor comments (2)
  1. [Abstract] Abstract and introduction: the phrase 'robust across specifications, samples, and additional outcomes' is stated without citing the exact robustness tables or sample splits; adding those references would improve clarity.
  2. [Methods] Notation: the exact regression used to extract the purged component (e.g., the auxiliary regression of equity surprises on spreads) should be written as an equation with coefficient definitions for replicability.

Simulated Author's Rebuttal

2 responses · 0 unresolved

We thank the referee for the detailed and constructive report. We address the two major comments point by point below.

read point-by-point responses

  1. Referee: Identification section (purging procedure): the claim that the residual after projecting bank equity surprises onto corporate spreads isolates pure credit-supply shocks is load-bearing for all subsequent impulse responses, yet the procedure does not rule out that earnings news simultaneously moves spreads through aggregate-demand or firm-profitability channels; without additional orthogonality tests or placebo exercises this leaves the causal interpretation vulnerable.

    Authors: The purging step is explicitly motivated by the intermediary net-worth model, under which a pure credit-supply shock raises bank equity while lowering spreads, whereas aggregate-demand or profitability news moves both in the same direction. Projecting bank equity surprises onto corporate spreads therefore removes the contaminating component by construction. The high-frequency window around bank-specific earnings announcements further limits the scope for simultaneous macro news. We acknowledge that the procedure cannot exhaustively rule out every conceivable firm-profitability channel with the data at hand; however, the maintained interpretation is supported by the model's predictions and by the robustness of the impulse responses across specifications and subsamples. We will add an expanded discussion of the identifying assumptions and their limitations in the revised manuscript. revision: partial

  2. Referee: Results section (impulse responses): the reported medium-run effects on real activity and the CAD rest on the purged series; if the skeptic concern holds and residual demand news remains, the positive co-movement with equity prices and negative co-movement with spreads could be mechanical rather than evidence of a distinct credit-supply channel.

    Authors: The medium-run responses are generated from the purged shocks, and the observed pattern—lower spreads, higher equity valuations, CAD appreciation, and higher real activity—is precisely the joint signature predicted by the intermediary model for a credit-supply shock. Residual demand news would be expected to produce a different configuration (e.g., no CAD appreciation or opposite spread response). While we cannot claim the purging eliminates every possible confounder, the fact that the purged series produces responses consistent with the model and inconsistent with pure demand news constitutes evidence for a distinct credit-supply channel. We will clarify this distinction in the revised text but do not believe additional empirical tests are required to maintain the current interpretation. revision: no

Circularity Check

1 steps flagged

Purged credit-supply shocks lower spreads by construction via co-movement identification

specific steps
  1. fitted input called prediction [Abstract]
    "Guided by a model in which higher intermediary net worth expands credit supply and lowers borrowing spreads, we use the co-movement between bank equity prices and Canadian corporate spreads to purge raw bank equity surprises from contaminating information. Favorable purged credit-supply bank net-worth shocks lower corporate spreads, raise bank valuations and broader equity prices, appreciate the Canadian dollar, and increase real activity over the medium run."

    The purging step extracts the component of equity surprises based on their (negative) co-movement with spreads. The subsequent claim that the resulting shocks lower corporate spreads is therefore mechanically implied by the identification rule itself rather than emerging as a separate empirical finding.

full rationale

The paper's identification strategy explicitly relies on the negative co-movement between bank equity surprises and corporate spreads (guided by the intermediary model) to purge contaminating information and isolate credit-supply shocks. The headline result that these shocks lower corporate spreads is therefore a direct consequence of how the shock series is constructed from that same co-movement, rather than an independent test. Effects on other variables (equity prices, exchange rate, real activity) are not forced in the same way, so the circularity is partial rather than total. No self-citation chains or ansatz smuggling are evident from the provided text.

Axiom & Free-Parameter Ledger

0 free parameters · 1 axioms · 0 invented entities

The central claim rests on the validity of the model-guided purging procedure and standard assumptions about market efficiency around announcements; no free parameters or invented entities are visible in the abstract.

axioms (1)
  • domain assumption Higher intermediary net worth expands credit supply and lowers borrowing spreads (guiding model).
    Invoked in the abstract to justify the purging step that isolates credit-supply shocks.

pith-pipeline@v0.9.1-grok · 5653 in / 1293 out tokens · 46030 ms · 2026-06-30T03:21:35.535429+00:00 · methodology

discussion (0)

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Reference graph

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