Stock Screening by Turnover, Listing Year, and Convertible Bond Data

Summary

The document describes a Chinese stock selection screen that combines a turnover-rate range, a listing-year condition, and the presence or absence of an outstanding convertible bond name. Its stated final rule selects stocks with turnover between 3% and 12%, listed in 2021, whose unredeemed convertible-bond short name is not empty. The accompanying Python example adds further filters, including market capitalization proxy data, trading volume, and a price comparison, so its implementation does not map cleanly to the stated rule.

The author flags that convertible-bond information may be correlated with other factors and may not fully represent a stock’s risk. They suggest adding fundamental and technical indicators and evaluating performance across markets and periods. No backtest results, selected-stock examples, or evidence of profitability are supplied. The mismatch between the prose, sample formula, and code means the selection conditions should be checked carefully before implementation.

Key ideas

• The stated screen combines turnover between 3% and 12%, a 2021 listing year, and convertible-bond name data.
• The Python example includes additional filters that are not fully aligned with the written selection rule.
• Convertible-bond information may overlap with other factors and does not capture all stock-specific risks.
• The document recommends testing across market conditions but provides no performance evidence.

Tags

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