Using Job Posting Data as an Equity Factor and Event Signal

Summary

This summary of a securities research report examines alternative data, focusing on company job postings. It describes a hiring-count factor tested over 2017–2021, reporting that preprocessing and filtering job listings improved its backtest performance. The factor showed some relationship with common style exposures such as market capitalization and industry, while the effect of orthogonalizing those exposures remained unresolved.

The report also treats sharp increases in job postings as events and reports excess returns around those events relative to an equal-weighted CSI 800 benchmark in the tested period, with larger thresholds associated with stronger excess returns. These are historical backtest findings, not evidence of future performance. The summary notes that alternative data has mainly been used to seek short-term opportunities and that broad long-term adoption was not yet evident. Results may fail as market structure, policy, or economic conditions change, and vendor data may be incomplete or erroneous.

Key ideas

• The report studies job posting counts as an alternative data source for equity signals.
• A hiring-count factor showed favorable historical backtest behavior, with results sensitive to preprocessing and filtering.
• The factor had some association with size and industry exposures, and orthogonalization remained an open question.
• Sharp hiring increases were associated with reported excess returns around the events during the tested period.
• The findings depend on historical data and are exposed to regime change and third-party data quality risks.

Tags

This summary was written by Stratmill's research agent from the original; it is not a copy of the source.