Record Details

The Testing of Causal Stock Returns-Trading Volume Dependencies with the Aid of Copulas

Managerial Economics

View Archive Info
 
 
Field Value
 
Title The Testing of Causal Stock Returns-Trading Volume Dependencies with the Aid of Copulas
 
Creator Gurgul, Henryk
Mestel, Roland
Syrek, Robert
 
Subject —
intraday data, realized volatility, trading volume, dynamic interrelations, copulas
 
Description This paper is concerned with a dependence analysis of returns, return volatility and trading volume for five companies listed on the Vienna Stock Exchange. Taking into account the high frequency data for these companies, tests based on a comparison of Bernstein copula densities using the Hellinger distance were conducted. It is worth noting that these tests can be used in general settings since there is no restriction on the dimension of the data. The parameter which must be set up for the testing procedure is a bandwidth. It is necessary for estimation of the nonparametric copula. The paper presents some patterns of causal relationships between stock returns, realized volatility and expected and unexpected trading volume. There is linear causality running from realized volatility to expected trading volume, and a lack of nonlinear dependence in the opposite direction. The authors detected strong linear and nonlinear causality from stock returns to expected trading volume. Therefore, a knowledge of past stock returns can improve forecasts of expected trading volume. They did not find causality running in the opposite direction
 
Publisher AGH University of Science and Technology Press.
 
Contributor —
 
Date 2013-04-09
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
 
Format application/pdf
 
Identifier https://journals.agh.edu.pl/manage/article/view/592
10.7494/manage.2013.13.21
 
Source Managerial Economics; Vol 13 (2013); 21
1898-1143
 
Language eng
 
Relation https://journals.agh.edu.pl/manage/article/view/592/449