Mapping Information Flows Among Chinese Stock Market Sectors

Summary

This study analyzes information transmission among 28 first-level Chinese equity sectors using daily closing prices from 2000 through 2017. It uses transfer entropy to estimate the strength and direction of information flows between sector time series, then builds a network with sectors as nodes and those flows as links. A maximum spanning tree approach extracts prominent connections and the network’s hierarchy.

The reported results identify the conglomerate sector as an overall information source and non-bank financials as an information sink. Non-bank financials, banks, computing, media, real estate, pharmaceuticals, and nonferrous metals appear as highly connected root sectors; banks and non-bank financials gained importance in outward flows after 2008. The study also reports that network structure varies with market volatility and over time, consistent with sector rotation. These findings describe historical associations in one market and sample; the supplied summary does not establish that information flow predicts tradable returns or persists outside the period studied.

Key ideas

• Transfer entropy is used to measure the direction and strength of information transmission between sector price series.
• The analysis builds a network of 28 Chinese equity sectors and uses a maximum spanning tree to identify its structure.
• The conglomerate sector is reported as an information source, while non-bank financials act as an information sink.
• Banks and non-bank financials are reported to have important outward information flows after 2008.
• The network changes over time and with market volatility, but predictive value for trading is not established.

Tags

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