Skip to content
All library documents

Using Low News Coverage to Rank China A-Share Stocks

Article BigQuant
Read the original

Summary

This research note outlines a stock-selection strategy for constituents of the CSI 500 index. It uses the number of news items about each stock as a proxy for investor attention, drawing on news-volume data collected by web crawler from 2010 onward. Stocks are grouped according to their attention levels, and the strategy buys the low-attention group on the first trading day of each month.

The page’s summary reports that the approach produced excess returns within the CSI 500 universe. However, the underlying research is linked as a PDF that is not included in the provided text, so the result cannot be examined here. The page gives no return figures, benchmark details, portfolio construction rules beyond the monthly selection, or treatment of trading costs and data availability. The reported finding should therefore be read as a brief claim about a particular Chinese equity universe, rather than as evidence that the effect is robust or transferable to other markets.

Key ideas

  • The strategy treats the volume of news about a stock as a proxy for investor attention.
  • News counts for CSI 500 constituents were collected from 2010 onward using web crawling.
  • Stocks are sorted into attention groups, with the strategy buying low-attention stocks monthly.
  • The page summary reports excess returns in the CSI 500 universe.
  • The underlying research and its performance details are unavailable in the supplied text.

Tags

EquitiesSentimentChina marketsBacktesting

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