Price duration versus trading volume in high-frequency data for selected DAX companies
Henryk Gurgul (),
Robert Syrek () and
Christoph Mitterer ()
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Henryk Gurgul: AGH University of Science and Technology in Krakow, Faculty of Management, Department of Applications of Mathematics in Economics
Robert Syrek: Jagiellonian University in Krakow, Institute of Economics, Finance and Management
Christoph Mitterer: Bruell Kallmus Bank AG, Institutional Banking
Managerial Economics, 2016, vol. 17, issue 2, pages 241-260
The main goal of this paper is to gain insights into the dependence structure between the duration and trading volume of selected stocks listed on the Frankfurt Stock Exchange. We demonstrate the usefulness of the copula function to describe the dependence of specific unevenly spaced time series. The properties of the time series of price durations and trading volumes under study are in line with common observations from other empirical studies. We observe clustering, overdispersion, and diurnality. For most of the stocks, the seminal model (linear parametrization with exponential or Weibull distribution) can be replaced by a logarithmic specification with more-flexible conditional distributions. The price duration and trading volume associated with this duration exhibit dependence in the tails of distribution. We may conclude that high cumulative trading volumes are associated with long duration. However, changes of price over short times are related to low cumulative volume.
Keywords: Frankfurt Stock Exchange; intraday data; duration models; copulas (search for similar items in EconPapers)
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Persistent link: http://EconPapers.repec.org/RePEc:agh:journl:v:17:y:2016:i:2:p:241-260
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