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Transcript AI Exposure Lineaged Pit
Updated dailyData needs: mediumlong onlyshort onlylong short
paper
2023
Source
Eisfeldt, Schubert, and Zhang (2023) measure workforce exposure to generative AI and an event-study portfolio; curated transcript bigrams and recurring own-z trades are different.
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In plain terms
Research-only transcript policy using content-addressed, observation-tiered calls. Bulk history is survivorship-caveated and cannot establish production alpha.
How it works
curated AI bigrams and own-history trading are a proxy
No live results for this strategy yet. Charts appear once it has earned a top spot on at least one stock, either on its own or as part of a blend of several strategies.
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Data dependencies
- Transcript revision admissible
A data feed this strategy reads, refreshed on its normal schedule.
- Transcript content vintages
A data feed this strategy reads, refreshed on its normal schedule.
- Daily prices
Adjusted-close OHLCV for every US-listed ticker; primary price feed.
Expected edge
No inherited return claim; evaluate the exact lineaged policy post-cost against identical-episode controls.
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