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Stress tests · eight adversarial attacks on the headline finding

If the headline result were a real effect, at least one of these would have caught it.

Bottom line. The eight stress tests below are designed to falsify the headline event-study finding by attacking different ways the finding could have been an artifact (sector confounding, estimation-window selection, oil-instrument mis-specification, individual-large-holder anomalies, etc.). For FirstCash specifically, three additional firm-specific stress tests apply: (1) specialty-finance-cycle-confound separation, (2) post-conversion re-ratification interaction, (3) specialty-consumer-finance-shock isolation. All ten tests are pending the per-firm event-study run.

Eight canonical stress tests (pending per-firm run)

#Stress testAttack vectorVerdict
1Estimation-window sensitivityVary pre-window: 60d, 120d, 250d (canonical), 500d. If the headline depends on pre-window length, identification is unstable.[PENDING]
2Oil-instrument sensitivityVary BNO substitute: WTI, Brent futures, XLE, no oil instrument. For FirstCash specifically, oil instrument likely not load-bearing (auto firm).[PENDING]
3Peer-firm sanity checkDay-0 AR for every specialty-consumer-finance peer. If most peers also moved similarly, FirstCash's AR is a sector signal, not a firm-specific announcement effect.[PENDING]
4Rolling β diagnosticFirstCash's β to FF6 factors rolling over the pre-window. Unstable loadings invalidate the constant-β assumption.[PENDING]
5Placebo-in-time100 pseudo-event dates from the pre-window. FirstCash's actual Day-0 AR's rank among the placebo distribution.[PENDING]
6GARCH-corrected [T−10,+0]Leakage-window inference under GARCH(1,1)-conditional variance. Standard test assumes constant volatility.[PENDING]
7Sector / sub-sector splitFor FirstCash: pawnshop-specialty-specific peer subset (EZCORP, World Acceptance, Encore) vs ICE-incumbent peer subset (OneMain, Curo, Enova). Sub-sector dispersion test.[PENDING]
8Cross-sectional regressionDay-0 AR regressed on firm-level controls (market cap, β to market, β to sector ETF). FirstCash's residual against the regression line.[PENDING]

FirstCash-specific stress tests

  1. specialty-finance-cycle-confound separation. The January 30, 2024 Chancery ruling rescinding Rippel's prior-period governance baseline is a within-window confounding event for any analysis using April 13, 2026 (PRE 14A filed after close) as the canonical event date. The stress test separates Tornetta-driven price movement from redomiciliation-anticipation movement by re-running the Day-0 test with the canonical event date set to TBD — pending June 9, 2026 vote (effective date), then comparing the two specifications. [PENDING]
  2. Post-conversion re-ratification interaction. The June 9, 2026 annual meeting approved both the redomiciliation AND a re-ratification of the 2018 compensation plan. The stress test tests whether the meeting-day price movement (June 13 / June 14) can be cleanly attributed to one decision or the other. [PENDING]
  3. Auto-industry-shock isolation. The first half of 2024 included material specialty-consumer-finance events (consumer-credit-cycle shift aftermath, consumer-credit-regulation (CFPB) policy changes, state-level lending-rate caps actions, FirstCash's own delivery-miss announcements). The stress test isolates FirstCash's AR from contemporaneous specialty-consumer-finance shocks via the sector-ETF residualization on Day-0. [PENDING]

Founder-controller stress test

Standard event-study identification assumes the marginal trader sets price. For FirstCash, Rippel's ~N/A% voting stake may make this assumption non-standard: a individual-large-holder could deliver a credible threat to leave the market entirely (take-private, redomicile again), and the marginal trader prices that threat. The stress test compares FirstCash's announcement-window AR to the AR of (a) other founder-controlled large-caps and (b) other DE→TX movers without individual-large-holder status. [PENDING per-firm run]

Primary sources

See /methodology for the canonical inference framework. Per-firm data: /replication. Full Bluebook-format citations in SOURCES.md.