jolts hiring acceleration long
What it checks
Industry hiring acceleration (the 3-month change in YoY job openings growth) leads earnings surprises by about a quarter. When an industry's hiring growth jumps by 5+ percentage points over 3 months, go long the industry leaders for 1-3 months.
Mechanism
Distinct from #79 jolts_hiring_momentum which uses the level of openings_yoy_pct — this family captures the ACCELERATION: the 3-month delta of openings_yoy_pct, which front-runs the level signal by ~1 quarter. Accelerating industry hiring is a leading indicator of demand strength → margin expansion → +EPS surprise on the LONG side.
Signal rule
Δ_3m(openings_yoy_pct) >= +5pp / +10pp with 45-day publication lag (T+1) -> LONG industry-leader ticker for 21/63 trading days.
Data dependencies
daily_pricesAdjusted-close OHLCV for every US-listed ticker; primary price feed.
jolts_industry_openingsBLS Job-Openings & Labor-Turnover Survey at monthly cadence.
stocksWorker data table — see services/worker schema.
Expected edge
- Paper alpha
- +2-4% over 21-63d
- Paper window
- T+45d to T+63d after publication
+2-4% over 21-63d on accelerating-industry leaders (extension of BLB 2014).
Example tickers where this is likely to fire
Illustrative only — the signal fires based on the live data, not a fixed list.
Related families
jolts hiring momentumMomentumBelo, Lin & Bazdresch (2014) JAE "Labor hiring, investment, and stock return predictability": firms (and industries) with strong hiring growth tend to outperform over the following 1-2 quarters because hiring precedes earnings — management is acting on private information about demand. v1 is industry-level via BLS JOLTS supersector openings: long when YoY openings growth > +20% (strong sectoral demand), short when < −10% (sectoral contraction).
jolts quits wage pressure shortMacroElevated industry separations (the closest BLS-JOLTS public proxy for the unobservable quits-rate; quits aren't published as a separate column at supersector grain) signal wage-cost pressure in labor-intensive firms — restaurants, retail, hospitality. The path: elevated turnover → wage pressure → margin compression → -EPS surprise on the SHORT side.
industry lead lagAlt-DataInformation about industry-A fundamentals diffuses slowly to firms in industry-B that are economically linked. Menzly-Ozbas (2010, JF) show upstream industry returns predict downstream industry returns at 1-month horizon, with the slowest diffusion in retail-light / illiquid names. We approximate "upstream industry" by using the broad market (SPY) and the ticker's own sector ETF as proxies (the weak-form version of the family until the BEA input-output customer-supplier matrix is loaded).
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