The Testing of Causal Stock Returns-Trading Volume Dependencies with the Aid of Copulas
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 d...
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| Format: | Article |
| Language: | English |
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AGH UNIVERSITY PRESS
2013-04-01
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| Series: | Managerial Economics |
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| Online Access: | https://journals.agh.edu.pl/manage/article/view/592 |
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| _version_ | 1846115258444283904 |
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| author | Henryk Gurgul Roland Mestel Robert Syrek |
| author_facet | Henryk Gurgul Roland Mestel Robert Syrek |
| author_sort | Henryk Gurgul |
| collection | DOAJ |
| 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 |
| format | Article |
| id | doaj-art-9d1ffa35ee2f41f097b995e80a3a827c |
| institution | Kabale University |
| issn | 1898-1143 2353-3617 |
| language | English |
| publishDate | 2013-04-01 |
| publisher | AGH UNIVERSITY PRESS |
| record_format | Article |
| series | Managerial Economics |
| spelling | doaj-art-9d1ffa35ee2f41f097b995e80a3a827c2024-12-19T16:12:00ZengAGH UNIVERSITY PRESSManagerial Economics1898-11432353-36172013-04-011310.7494/manage.2013.13.21The Testing of Causal Stock Returns-Trading Volume Dependencies with the Aid of CopulasHenryk GurgulRoland MestelRobert SyrekThis 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 directionhttps://journals.agh.edu.pl/manage/article/view/592intraday datarealized volatilitytrading volumedynamic interrelationscopulas |
| spellingShingle | Henryk Gurgul Roland Mestel Robert Syrek The Testing of Causal Stock Returns-Trading Volume Dependencies with the Aid of Copulas Managerial Economics intraday data realized volatility trading volume dynamic interrelations copulas |
| title | The Testing of Causal Stock Returns-Trading Volume Dependencies with the Aid of Copulas |
| title_full | The Testing of Causal Stock Returns-Trading Volume Dependencies with the Aid of Copulas |
| title_fullStr | The Testing of Causal Stock Returns-Trading Volume Dependencies with the Aid of Copulas |
| title_full_unstemmed | The Testing of Causal Stock Returns-Trading Volume Dependencies with the Aid of Copulas |
| title_short | The Testing of Causal Stock Returns-Trading Volume Dependencies with the Aid of Copulas |
| title_sort | testing of causal stock returns trading volume dependencies with the aid of copulas |
| topic | intraday data realized volatility trading volume dynamic interrelations copulas |
| url | https://journals.agh.edu.pl/manage/article/view/592 |
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