Processing Consensus Forecast Factors for Stock Selection

Summary

This research compares ways to construct and transform analyst-consensus forecast factors for stock selection and industry rotation. It examines expected return on equity, net profit, net-profit growth, and a two-year compound-growth measure. The approaches to preparing the underlying data are smoothing forecasts across fiscal years, always using the nearest fiscal-year forecast, or keeping the target fiscal year consistent over time. It recommends time-series standardization to create forecast-adjustment factors.

The reported comparison favors the fixed-fiscal-year approach for overall factor information ratios, premiums, and long-short returns, particularly for ROE, net profit, and net-profit growth. The exception is the compound-growth factor, where the longer-horizon forecasts required by that construction are described as less accurate. Smoothing instead performs best for long-only information ratio and stability. The summary reports positive annual excess returns across most years for the net-profit example, but provides no underlying tables or methodology details here. The authors flag liquidity, model failure, and factor decay as risks.

Key ideas

• The report compares smoothed forecasts, nearest-year forecasts, and forecasts fixed to the same fiscal year.
• It recommends time-series standardization when building forecast-adjustment factors.
• Fixed fiscal-year construction is reported as strongest overall, while smoothing is preferred for stable long-only exposure.
• The fixed-year method is weaker for the compound-growth factor because it relies on less accurate longer-horizon forecasts.
• The reported performance claims lack supporting tables in the supplied page, and the report flags liquidity and model and factor failure risks.

Tags

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