China Ocean Quantitative Strategy Fund: Signals, Portfolio and Performance
Summary
This fund analysis describes a Chinese equity strategy that combines quantitative signals with qualitative judgment. Its inputs include mean reversion in returns and valuations, sector rotation, fundamental reversals, event effects, investor behavior and market sentiment. It also considers absolute valuation, industry conditions, contrarian trades during overheated sentiment, medium- and long-term stock models, and implied reward-to-risk. Portfolio risk is managed against a target volatility.
The document reports annualized returns, excess returns and Sharpe ratios for periods beginning in 2018, and uses Brinson attribution to discuss sources of excess performance in 2018 and 2019. It also reviews sector, market-capitalization and industry exposures, describing a growth bias alongside a shift toward financials in the 2019 annual report. These are historical results and reported holdings, not evidence that the process will continue to outperform. The source explicitly cautions that changing policy or market conditions can cause the models to fail.
Key ideas
- The fund combines quantitative signals with qualitative assessment of valuation, fundamentals, events and sentiment.
- It uses target-volatility control as part of portfolio risk management.
- Brinson attribution assigns the main source of excess return to stock selection in 2018 and the interaction effect in 2019.
- Reported holdings show a growth preference and concentration in computer, machinery and electronics industries.
- Historical performance and model-based analysis may not persist when policy or market conditions change.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.