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Research background: Empirical market microstructure research has recently shifted its focus from the examination of liquidity of individual securities towards analyses of the common determinants and components of liquidity. The identification of commonality in liquidity emerged as a new and fast growing strand of the literature on liquidity. However, the results around the world are ambiguous and rather depend on a specific stock market. Purpose of the article: The aim of this study is to explore intra-market commonality in liquidity on the Warsaw Stock Exchange (WSE) by using daily proxies of six liquidity estimates: percentage relative spread, percentage realized spread, percentage price impact, percentage order ratio, modified turnover, and modified version of the Amihud measure. The sample covers a period from January 2005 to December 2016. The database contains the group of eighty-six WSE-listed companies. Methods: The research hypothesis that there is commonality in liquidity on the Polish stock market is tested. The OLS with the HAC covariance matrix estimation and the GARCH-type models are employed to infer the patterns of liquidity co-movements on the WSE. Moreover, because the sample period is quite long, the stability of the empirical results by time period is examined. Seven 6-year time windows are utilized in the study. Findings & Value added: The regression results reveal weak evidence of co-movements in liquidity on the WSE, regardless of the choice of the liquidity proxy. Furthermore, the robustness tests based on the time rolling-window approach do not unambiguously support the research hypothesis that there is commonality in liquidity on the Polish stock market. To the best of the author’s knowledge, the empirical findings presented here are novel and have not been reported in the literature thus far.

The main goal of this paper is a quantitative identifi cation of bear market periods during the 2007-2009 global fi nancial crisis in the case of the Visegrad Group stock markets. We analyse four countries, namely Poland, the Czech Republic, Hungary, and Slovakia and, for comparison, the US stock market. The sample period begins on May1, 2004, and ends on April 30, 2013, i.e. it includes the 2007 US subprime crisis. We use the statistical method of dividing market states into bullish and bearish markets. Our results reveal October 2007-February 2009 as the common downmarket period of the recent global fi nancial crisis, except for Slovakia. It is instructive to formally identify crises, as it enables sensitivity analyses of various relationships and linkages among international stock markets using econometric and statistical tools, with respect to the pre-, post-and crisis periods. Moreover, we investigate the effect of increasing cross-market correlations in the crisis compared to the pre-crisis period, applying both standard contemporaneous correlations and volatility-adjusted correlation coeffi cients. The results confi rm that accommodating heteroskedasticity is critical for detecting contagion across economies. A number of studies document that crossmarket correlations vary over time, thereby making the benefi ts of international portfolio choice and diversifi cation questionable.JEL classifi cation indices: C10, F36, F44, G01, G15, O52