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The impact of asynchronous trading on Epps effect on Warsaw Stock Exchange

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  • Henryk Gurgul

    (AGH University of Science and Technology)

  • Artur Machno

    (AGH University of Science and Technology)

Abstract

The main goal of the analysis is the verification of whether asynchrony in transaction times is a considerable cause of the Epps effect on the Warsaw Stock Exchange among the most liquid assets. A method for compensating for the impact of asynchrony in trading on the Epps effect is presented. The method is easily applicable. Calculations are made using the exact time of transactions and prices of the assets. The estimation is not biased by intervals during which no transactions have taken place. Among all the analyzed stock pairs, asynchrony turns out to be the main cause of the Epps effect. However, the corrected correlation estimator seems to be more volatile than the regular estimator of the correlation. The presented analysis can be reproduced for the same data or replicated for another dataset; all R codes used in the process of writing this article are available upon request. The main novelty/value added of this paper is the application to an emerging market of a new method for compensating for asynchrony in trading.

Suggested Citation

  • Henryk Gurgul & Artur Machno, 2017. "The impact of asynchronous trading on Epps effect on Warsaw Stock Exchange," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 25(2), pages 287-301, June.
    • Handle: RePEc:spr:cejnor:v:25:y:2017:i:2:d:10.1007_s10100-016-0442-y
    DOI: 10.1007/s10100-016-0442-y
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    References listed on IDEAS

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    Cited by:

    1. Jarosław Duda & Henryk Gurgul & Robert Syrek, 2020. "Modelling bid-ask spread conditional distributions using hierarchical correlation reconstruction," Statistics in Transition New Series, Polish Statistical Association, vol. 21(5), pages 99-118, December.
    2. Duda Jarosław & Gurgul Henryk & Syrek Robert, 2020. "Modelling bid-ask spread conditional distributions using hierarchical correlation reconstruction," Statistics in Transition New Series, Polish Statistical Association, vol. 21(5), pages 99-118, December.
    3. BenSaïda, Ahmed, 2019. "Good and bad volatility spillovers: An asymmetric connectedness," Journal of Financial Markets, Elsevier, vol. 43(C), pages 78-95.

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    More about this item

    Keywords

    Market microstructure; Epps effect; Asynchronous trading; Correlation estimation; Asynchronous time series;
    All these keywords.

    JEL classification:

    • F36 - International Economics - - International Finance - - - Financial Aspects of Economic Integration
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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