Residual Analyst Coverage as an Equity Return and Fundamentals Factor

Summary

The document summarizes an equity factor study on whether analyst attention predicts future company fundamentals and stock returns. It proposes adjusting a conventional analyst-coverage measure with a linear regression that removes effects associated with company characteristics such as market capitalization, liquidity, and prior price performance. The residual, termed idiosyncratic coverage, is intended to capture analyst attention beyond those observable attributes.

The summary reports that higher residual coverage is associated with stronger subsequent profitability and operating efficiency, and describes positive long-short returns, rank information coefficients, and persistence at a lag of several months. It also says the factor retains stock-selection power across multiple observation and holding windows, though effectiveness declines as horizons lengthen and new information makes up a smaller share. Results are reported across most industries, but are less reliable where few firms are available. The supplied text is an abstract rather than the full analysis, so it gives limited detail on universe construction, controls, transaction costs, and robustness testing.

Key ideas

• Residual analyst coverage is calculated by removing the influence of selected company characteristics from raw coverage.
• The document associates higher residual coverage with stronger future profitability and operating efficiency.
• It reports a positive relationship between residual coverage and subsequent stock returns.
• The factor is described as persistent across lagged periods and multiple holding horizons, with weaker effectiveness at longer horizons.
• Industry-level results are less informative where the number of companies is small.

Tags

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