Transcript Political Risk Hhvt
In plain terms
Counts bigrams from a curated politics lexicon in transcripts. Firms whose calls spike in political-risk language hedge more and underperform.
How it works
Hassan-Hollander-van Lent-Tahoun (2019 QJE 134(4)) "Firm-Level Political Risk: Measurement and Effects." The authors build a political-bigram lexicon from training corpora (politics textbooks + party platforms) and score each conference call as the share of its bigrams that appear in the lexicon. The score predicts hedging activity, capex sensitivity to elections, and cross-sectional returns (long-short decile spread ~4-6% annualised, Sharpe 0.6-0.8 in the 2023/2024 updates).
Live results
0 times picked on its own · 17 times inside a blend (16 beat the stock) · updated 2026-06-06Data dependencies
- Daily prices
Adjusted-close OHLCV for every US-listed ticker; primary price feed.
- Earnings call transcripts
Full earnings-call transcripts (prepared + Q&A), tokenised.
Expected edge
- Reported return
- ~4% L/S decile spread (Hassan et al 2019)
- Tested over
- 2002-2016
The score predicts hedging activity, capex sensitivity to elections, and — in the 2023/2024 updates (Hassan-Schreger- Schwedeler-Tahoun JF 2023) — cross-sectional returns: long-short decile spread ≈ 4–6% annualised, Sharpe 0.6–0.8.
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