Using Macro Indicators for Monthly A-Share Sector Rotation

Summary

This research summary describes a monthly sector-rotation framework for Chinese equities. It groups 29 CITIC first-level industries into financial, cyclical, consumer, and growth sectors, builds market-cap-weighted sector indices, and proposes selecting timing variables that relate to later sector returns. The indicators cover economic growth, liquidity, international trade, and economic uncertainty. Examples highlighted include changes in PMI measures, the term spread, the M1–M2 gap, export growth, and an economic policy uncertainty index. The combined approach uses ordinal regression to rank sectors and form portfolios selecting either one or two sectors.

The summary reports historical results: the four-sector long–short return spread averaged 8.75% monthly, while the two-sector selection strategy recorded 16.1% annualized excess return, an information ratio of 1.78, and a 66% monthly win rate; the one-sector strategy recorded about 21% annualized excess return, an information ratio of 1.25, and a 60% monthly win rate. These are reported backtest figures, not guarantees. The source flags market-wide, liquidity, and policy risks, and the summary does not provide enough detail to assess data timing, transaction costs, or robustness.

Key ideas

• The framework groups Chinese industries into financial, cyclical, consumer, and growth sectors for monthly rotation.
• It evaluates macroeconomic growth, liquidity, trade, and uncertainty measures as sector-timing variables.
• An ordinal regression model combines indicators to rank sectors and select one or two for investment.
• The summary reports historical excess returns and win rates, but does not detail costs or robustness checks.
• System-wide market, liquidity, and policy changes may materially affect strategy performance.

Tags

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