Macro Factors, Equity Anomalies, and Alternative Risk Premia
Summary
This research summary reviews several empirical findings drawn from macroeconomic and equity data. It reports that principal components built from 132 monthly macro series across 15 categories produce eight factors that explain a stated share of the next year's bond excess returns. It also describes a trend factor based on moving averages across horizons, reporting stronger and more stable long-short performance than short-term reversal, momentum, and long-term reversal in the studied sample.
Other findings include a negative relation between asset growth and stock returns, an analyst-forecast strategy that favors low dispersion among stocks with large earnings revisions, and a diversified portfolio of value, momentum, carry, defensive, trend, and volatility premia. The summary also says institutional short-term trades under nine months have negative average returns, particularly in certain stock styles and volatile markets. These are summarized conclusions rather than full methods or data details; the source flags systemic risk, model failure, and differences between overseas and domestic market structure as limitations.
Key ideas
- Principal components from a broad set of monthly macro series are reported to forecast bond excess returns.
- A multi-horizon moving-average trend factor is reported to outperform three traditional technical factors in the cited analysis.
- The summary reports a negative association between asset growth and subsequent stock returns.
- Low analyst forecast dispersion is associated with stronger subsequent returns when paired with large earnings revisions.
- A portfolio of six alternative premia is described as having low correlation with traditional balanced and hedge fund portfolios.
- Short-term institutional trades are reported to have negative average returns, with weaker results in volatile markets.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.