May 2018 China Equity Model Performance and Risk Summary

Summary

This weekly report summarizes several Chinese equity strategies for May 2018, including multi-factor index enhancement, short-horizon price-volume, AI stock selection, Smart Beta, event-driven selection, ESG, similarity matching, and an R-breaker trading model. It compares reported portfolio returns with benchmarks and gives selected risk or trading statistics where available. The report cites positive benchmark-relative returns for the CSI 300 and CSI 500 enhancement portfolios and the short-cycle price-volume model. It also describes mixed absolute and relative outcomes across the AI, Smart Beta, event-driven, and ESG approaches. For R-breaker, it reports a weekly result and cumulative performance statistics since 2012, including win rate, average win-to-loss ratio, and drawdown. These are brief historical snapshots rather than methodological descriptions or a controlled comparison. The document does not explain factor definitions, portfolio construction, transaction costs, data handling, or whether the reported results account for fees and market impact. Its figures should therefore be read as period-specific claims, not evidence of durable future performance.

Key ideas

• The report compares several equity selection and index-enhancement models using May 2018 returns.
• The multi-factor portfolios and short-cycle price-volume strategy are reported to have beaten their stated benchmarks.
• AI and ESG models lagged the CSI 300, while Smart Beta and event-driven models exceeded the stated broad-market benchmark.
• The R-breaker section provides weekly and longer-term performance and risk statistics.
• The report supplies limited detail about methodology, costs, or testing controls.

Tags

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