ABSTRACT
Despite the rich literature on the relationship between trading volumes and stock prices, few studies explore the underlying linkage arising from multifractality. Here, we propose a Hurst-based market-trend index measuring the dynamic cross-correlation between volumes and prices, and illustrate its usefulness with applications on the Chinese stock market. We show that the new index can reflect the volume-price relationship’s underlying changes with varying market conditions across different sectors. We also show how the new index dominates the change in the Granger causality. Further economic analyses demonstrate how the new index can be used for improving trading strategies. The insights on the underlying relationship between stock volumes and prices are important for investment decisions and have insightful policy implications.
Disclosure statement
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
Data availability statement
The data that support the findings of this study are available from the corresponding author, [Dongkai Zhao, Email address: [email protected]], upon reasonable request.