•  
  •  
 
Business Review

Abstract

This paper investigates the dynamic association between daily stock index returns and percentage trading volume changes. To proceed with this, linear and nonlinear Granger causality tests are applied to the Karachi Stock Exchange (KSE) data. The analysis covers the span of about 5 years with 1266 daily observations. The same methodology is employed for two non-overlapping sub-periods to examine the robustness of the results. Unidirectional linear Granger causality from stock returns to trading volume is observed for the entire sample period and for both the sub-periods as well. The null hypothesis of linear Granger noncausality from percentage volume changes to stock returns is rejected only in optimal lag length for the second sub-period. Regarding nonlinear Granger causality, the modified Baek and Brock's test (l992a) for nonlinear Granger causality provides evidence of significant unidirectional nonlinear Granger causality from percentage volume changes to stock returns in both the sub-periods for all the common lag lengths used but not for vice versa. The analysis exposed that volume has significant nonlinear explanatory power for stock returns, whereas stock returns have linear explanatory power for trading volume.

Keywords

Stock Prices, Trading Volume, Nonlinear Granger Causality, Karachi Stock Exchange

DOI

https://doi.org/10.54784/1990-6587.1390

Journal of Economic Literature Subject Codes

G12, C14

Creative Commons License

Creative Commons Attribution 4.0 International License
This work is licensed under a Creative Commons Attribution 4.0 International License.

Submitted

June 07, 2021

Published

July 01, 2007

Share

COinS

Publication Stage

Published

 
 

To view the content in your browser, please download Adobe Reader or, alternately,
you may Download the file to your hard drive.

NOTE: The latest versions of Adobe Reader do not support viewing PDF files within Firefox on Mac OS and if you are using a modern (Intel) Mac, there is no official plugin for viewing PDF files within the browser window.