Using Industry Beta Rank Correlations as a China Equity Sentiment Signal

Summary

This document describes a market timing model for the CSI 300 based on the Guosen Investor Sentiment Index. It adapts a risk appetite approach by comparing 28 Shenwan first-level industries. The proposed index uses the Spearman rank correlation between industry returns and industry betas: a positive relationship is interpreted as optimism, while a negative one suggests pessimism. Betas are estimated relative to the CSI 300, and the article also introduces Pearson correlation and beta as background concepts.

The trading rule uses a significance threshold of 0.371 and requires two consecutive signals on the same side before taking a bullish or bearish stance. That stance is maintained until two consecutive signals in the opposite direction confirm a reversal; mixed signals reset the confirmation process. The post includes implementation code and claims the index broadly anticipates CSI 300 trends, but supplies no quantified performance evidence in the text. Its code and description also contain inconsistencies in the calculations and signal logic, so the model should be independently checked before use.

Key ideas

• Industry returns and their market-relative betas are ranked to estimate investor sentiment.
• The model interprets positive rank association as optimism and negative association as pessimism.
• Two consecutive threshold signals are required to confirm a directional view on the CSI 300.
• The article gives no quantified backtest results, and its implementation details warrant independent validation.

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