Text-10K#314tier 1experimental liveNew

forward looking statement count

cadence: Annualdata: mediumlong onlyshort onlylong short
paper
2010
Source
Li, F. (2010). "The Information Content of Forward-Looking Statements in Corporate Filings—A Naïve Bayesian Machine Learning Approach." Journal of Accounting Research, 48(5), 1049-1102.
Read the paper →

What it checks

Companies that ramp up forward-looking language in their annual filing tend to outperform; those that pull back tend to underperform.

Mechanism

Forward-looking statement (FLS) lexicon density on 10-K MD&A (Item 7) is a predictor of forward-realized volatility and information environment quality. Falling FLS density -> guidance withdrawn -> SHORT; rising -> confident communication -> LONG.

No production champion data for this family yet. Stats appear once the discovery pipeline promotes at least one strategy with this family tag, or once a multi-family blend that includes it earns a champion slot.

Signal rule

sec_10k_sections.item_7_text FLS rate Y/Y delta own-z; >= 1.0 -> LONG, <= -1.0 -> SHORT, hold 90/180d

Data dependencies

  • daily_prices

    Adjusted-close OHLCV for every US-listed ticker; primary price feed.

  • sec_10k_sections

    Worker data table — see services/worker schema.

Expected edge

Paper alpha
~2-4% over 6mo on top-decile
Paper window
T+1 to T+180d

Li 2010 JAR: FLS-count z >= 1 predicts ~2-4% over 6mo; conditional on guidance-direction sign.

Related families

Explore forward looking statement count on alphactor.ai

See which tickers this family is currently firing on, with live signals and rankings.

For informational and educational purposes only. Not financial advice. Learn more