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Cyber Risk Disclosure Short

Updated annualData needs: lowshort only
paper
2023
Source
Original incident-proxy hypothesis (no supporting academic source). Previously mis-cited to Florackis, Louca, Michaely & Weber (2023), "Cybersecurity Risk," Review of Financial Studies 36(1), 351-407, which documents the OPPOSITE effect: a positive cross-sectional cyber-risk premium in which HIGH cyber-risk-exposure firms OUTPERFORM by up to 8.3%/yr (long-high/short-low), supporting a long on the exposure level, not a short.
Read the paper →

In plain terms

When a company adds substantially more cybersecurity, ransomware, or data-breach language in its annual risk-factors section, it may reflect a recent incident or rising security costs. This family shorts the stock for about 9 months after the filing. This is an in-house hypothesis, not an academic finding; the closest academic study (Florackis et al. 2023) finds high cyber-risk-exposure firms earn HIGHER returns as a risk premium.

How it works

Internally-motivated incident proxy: a sharp YoY spike in 10-K Item 1A cyber-keyword density is treated as evidence of (i) a realized incident that triggered the disclosure update and (ii) higher expected operating costs from security spend, so the firm is shorted after the filing. This is NOT the Florackis et al. (2023) construction, which prices the text-similarity LEVEL of cyber-risk exposure unconditionally and finds it carries a positive risk premium.

Live results

0 times picked on its own · 1 times inside a blend (1 beat the stock) · updated 2026-06-06
This strategy is a frequent ingredient in blends that combine a few strategies on one stock. It has contributed to 1 such blended picks (1 of which beat simply holding the stock). Picking it on its own is only one of the ways it shows up.
How its picks scored vs. buy & hold
Each pick is graded on a recent year it was never tuned on, against simply owning the same stock
Where its edge concentrates
Share of picks in each company-size group that beat buy & hold
How often it trades
Active vs. patient. Bars on the left mean it waits for rare setups; bars on the right mean it trades often
Return vs. buy & hold
How much each pick beat or trailed simply owning the stock over the test year (extreme microcap moves trimmed)
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Data dependencies

  • Daily prices

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

  • SEC 10k sections

    A data feed this strategy reads, refreshed on its normal schedule.

Expected edge

Reported return
-4 to -6% over 180d
Tested over
filing+45d to filing+225d

No academic magnitude claim. The previous "-4 to -6% over 180d" figure was misattributed to Florackis et al. 2023, whose actual finding is that high-exposure firms outperform by up to 8.3%/yr.

Related families

Explore Cyber Risk Disclosure Short 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