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

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.

[1]  F. Diebold,et al.  The distribution of realized stock return volatility , 2001 .

[2]  F. Lillo,et al.  High-frequency cross-correlation in a set of stocks , 2000 .

[3]  Heather J. Ruskin,et al.  Multiscaled Cross-Correlation Dynamics in Financial Time-Series , 2009, Adv. Complex Syst..

[4]  Thomas Guhr,et al.  Compensating asynchrony effects in the calculation of financial correlations , 2009, 0910.2909.

[5]  Michel M. Dacorogna,et al.  Correlation of High Frequency Financial Time Series , 1998 .

[6]  I. Mastromatteo,et al.  Financial correlations at ultra-high frequency: theoretical models and empirical estimation , 2010, 1011.1011.

[7]  János Kertész,et al.  The Epps effect revisited , 2007, 0704.1099.

[8]  Patrick Burns,et al.  Correlations and Volatilities of Asynchronous Data , 1998 .

[9]  F. Diebold,et al.  The Distribution of Realized Exchange Rate Volatility , 2000 .

[10]  Heather J. Ruskin,et al.  Cross-Correlation Dynamics in Financial Time Series , 2009, 1002.0321.

[11]  Allan A. Zebedee,et al.  A closer look at co-movements among stock returns , 2009 .

[12]  S. Sarkar,et al.  Time variation in the correlation structure of exchange rates: high‐frequency analyses , 2001 .

[13]  Roberto Renò,et al.  A Closer Look at the Epps Effect , 2001 .

[14]  T. W. Epps.  Comovements in Stock Prices in the Very Short Run , 1979 .

[15]  Ser-Huang Poon,et al.  Returns synchronization and daily correlation dynamics between international stock markets , 1999 .