Industry Rotation Using Market Turning Points and Regime-Conditioned Rankings

Summary

This industry-rotation approach identifies turning points in broad or sector indexes to classify market conditions as rising or falling. It then ranks industries by their performance rankings over the prior year within those market states, on the premise that industries with persistently high rankings are more likely to rank well the following month. The report examines relationships in both directions, using broad indexes and industry levels as regime references for allocating among other industries or judging index timing.

The reported analysis says this regime-conditioned ranking outperformed conventional momentum in returns and stability, with lower parameter sensitivity. It recommends a monthly portfolio of the five highest-ranked industries and reports average annualized excess return of 10%. The account is a summary of research rather than the full report, and it supplies no sample period, detailed construction rules, transaction-cost treatment, or risk statistics. The stated findings therefore need independent validation before practical use.

Key ideas

• The method detects index turning points to distinguish rising and falling market states.
• Industry rankings over a rolling year are evaluated separately within identified market states.
• The report says regime conditioning improves on ordinary momentum and reduces parameter sensitivity.
• It selects the five highest-ranked industries for a monthly portfolio and reports 10% average annualized excess return.
• The summary omits sample details, implementation rules, and costs, limiting independent assessment.

Tags

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