
The Payments Corner
Decoding the Payments StackCohorts.
Each layer of the stack, read as a cohort. Are the names moving as one trade — or getting re-underwritten one by one? Lines rebased to 100; cohesion is the average pairwise correlation of daily returns after the S&P is stripped out, so it measures payments-specific co-movement, not the market tide.
AS OF 2026-10-23 · 16:00 ET · each cohort’s window is set independently on its own card
The Tollbooths
· Card NetworksThe Tollbooths: mixed — correlation 0.58 over YTD; V +17.7% vs AXP -16.0%. Partial cohesion with individual stories emerging.
The Balance Sheets
· Issuing Banks & LendersThe Balance Sheets: mixed — correlation 0.50 over YTD; BFH +32.7% vs TBBK -24.8%. Partial cohesion with individual stories emerging.
The Engines
· Processing & InfrastructureThe Engines have decoupled — correlation just 0.38 over YTD; CPAY +35.9% vs FICO -50.4%. Divergers: CPAY, PAY, GDOT, PGY, FOUR, FICO. Names are being re-underwritten individually.
The Interfaces
· Consumer & Merchant PlatformsThe Interfaces have decoupled — correlation just 0.28 over YTD; SEZL +102.8% vs KLAR -55.2%. Divergers: SEZL, PAGS, XYZ, CHYM, SHOP, PYPL, TOST, MELI, NU, STNE, HAPN, ADYEY, SOFI, KLAR. Names are being re-underwritten individually.
The Corridors
· Cross-Border PaymentsThe Corridors have decoupled — correlation just 0.24 over YTD; RELY +87.7% vs IMXI -39.4%. Divergers: RELY, FLYW, WSE, WU, IMXI. Names are being re-underwritten individually.
The Alternatives
· Crypto & Alternative RailsThe Alternatives: mixed — correlation 0.42 over YTD; DLO +7.0% vs COIN -30.5%. Partial cohesion with individual stories emerging.
Methodology: daily-return correlation (not price levels), market-adjusted — the S&P return is regressed out of each name (residual = return − β·S&P) so cohesion reflects co-movement beyond the market (on a risk-on day everything correlates; residuals strip that out). Cohesion = average pairwise correlation of residuals; ≥0.70 = moving together, 0.40–0.70 = mixed, below 0.40 = diverging. Mkt β = the cohort’s average sensitivity to the S&P. Each name’s R² is its fit to the equal-weighted, leave-one-out cohort residual factor (an “out” tag = low fit, a diverger). Charts show actual rebased price paths with the S&P/Nasdaq as toggleable benchmarks. Short windows carry too few trading days to trust the correlation — read the chart, not the number. History depth is ~1 year, so 5-year is not yet offered.
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