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Canli Capital

Research

Annual risk-factor narrative stability: a preregistered null

Author: Arhan Canli, Founder, System Architect, and Quantitative Researcher, Canli Capital
Research system: ALPHAC / AlphaForge
Family key: equity_narrative_change
Status: public research record; not peer reviewed; not an investment solicitation
Evidence date: 2026-08-22

Abstract

ALPHAC preregistered one test of annual 10-K Item 1A narrative stability before opening the 2016–2025 return window. The locked strategy bought issuers with stable disclosures and sold issuers with changed disclosures after controlling for filing reaction, momentum, and filing-time industry. Across 2,514 observations, net Sharpe was -0.0074, DSR 0.00015, Newey–West t-stat -0.0242, and maximum drawdown -28.47%. Twelve of 20 research gates passed, but the return, DSR, stress-cost, short-leg, capacity, mean-zero book-delta, and expected-shortfall gates failed. The sealed verdict is KILL. No sleeve was admitted.

Hypothesis, literature, and overlap

Material changes to risk disclosures may reveal changing operating or legal conditions before prices fully adjust. Cohen, Malloy, and Nguyen's Lazy Prices provides the prior (NBER working paper); it does not validate ALPHAC's corpus, signal, or return. The family is an issuer-information mechanism, not a momentum, value, quality, or generic sentiment sleeve. Exactly one identity was tested, and its failed direction was not inverted.

The locked signal was five-token-shingle Jaccard stability between each unamended 10-K Item 1A and its immediate predecessor. Monthly residualization controlled for the filing reaction, 12-1 momentum, and accession-time two-digit SIC. The top residual quintile was long, the bottom quintile short, each cohort held 63 sessions, and the stock book was hedged with contemporaneous 252-session SPY betas. Baseline costs were 15 basis points one-way for stocks, one basis point for SPY, and 3% annual borrow on shorts.

Trial and point-in-time lineage

The immutable identity is hypothesis key e2b76a7604131f00, configuration hash 41ce2b1f40450a6e. The preregistration fixed the direction, section, parser, controls, timing, costs, capacity limits, diversification test, and kill rules before returns were opened. SEC acceptance timestamps and immutable accession archives governed document availability; Sharadar issuer intervals, corporate actions, and delisted histories governed market lineage. A canonical input manifest binds every consumed market series.

The corpus processed 82,491 eligible manifest rows, extracted 73,744 Item 1A sections, formed 65,050 adjacent filing pairs, and selected 5,556 rows across 52 cohorts. Fifty-eight terminal force-flat events were disclosed. Their presence independently prevents an ADD decision pending dedicated delisting payouts; the return gates already fail without relying on that escalation.

Results and decision

Measure Persisted value
Net / 2x-cost Sharpe -0.0074 / -0.4621
DSR / PSR 0.00015 / 0.4906
Newey–West t-stat -0.0242
Maximum drawdown -28.47%
Realized SPY beta 0.0033
Annual turnover 3.957x
1% ADV p05 capacity $739,828.84

The low beta and low average correlation of 0.0235 do not rescue absent standalone edge. The short leg's gross contribution was negative, capacity missed $5 million, and 10% book inclusion failed the mean-zero control and worsened expected shortfall. The candidate passed 12 of 20 research checks and is technically ineligible under the admission contract.

Decision: KILL. The family contributes zero sleeves, no Alpaca position, and no published live return. The result is not evidence of forward Sharpe or expected drawdown. A transcript, embedding, sentiment, quarterly-filing, or opposite-direction test would be a new hypothesis and must be separately preregistered and charged.

Reproduction, evidence, and credit

The work requires the pinned AlphaForge environment and source corpus. Public SHA-256 bindings make artifact replacement detectable; they do not imply independent peer review. The research, system architecture, and publication were authored and directed by Arhan Canli, Founder of Canli Capital.