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A b s t r a c t. Described in literature stock market anomaly still remains unexplained. In long time series regressions and wide geographical spread research, "Halloween effect" is significant on 19 amongst 73 markets, but also on 11 amongst 23 with long time series data. The data shows that abnormal returns could be realized also in strategies starting in October, November and December. We conclude that even with control of weather (sun hours), behavioral (sentiment index, number of IPOs) and macroeconomic (industrial production) factors, the effect persists.K e y w o r d s: seasonal anomaly; behavioral factor; Halloween indicator; January effect; sell in May. J E L Classification: G15; Q47; G10; G14.

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This paper presents results of the investigation of a phenomenon known as "earnings management'' (EM) among the companies listed on the Polish stock market. The distribution of earnings per share (EPS) for the stocks around the threshold value of "zero" and the threshold of "recent performance" was analyzed in the period of years 1997-2010. Moreover, the changes of earnings for the stocks, which are suspected to manipulate their earnings, were also investigated. The results, which indicate asymmetric distribution of earnings around the zero threshold along with the relative deterioration of earnings in the year following the period when the companies were suspected to conduct earnings management practices, provide evidence that this phenomenon exists among Polish stock market companies.

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PurposeThis study contributes to the pool of knowledge about the impact of monetary policy communication of central banks on financial instruments' prices and assets' value in emerging markets.Design/methodology/approachEmpirical analysis is executed using the National Bank of Poland (NBP) announcements about its monetary policy covering the data from the broad financial market in its three main segments: stock market, foreign exchange market and bonds market. The reactions are measured relative to the changes in the NBP announcements and also with respect to investors' expectations. Autoregressive conditional heteroscedasticity (ARCH) models with dummy variables are used as the main methodological tool.FindingsBonds market and foreign exchange market are the most sensitive market segments, while interest rate and money supply are the most influential types of announcements. The changes of the revealed new macroeconomic figures had more impact on assets' prices movements than the deviations from their expectations. Moreover, greater diversity of the Monetary Policy Council (MPC) members' opinions on the voted motions, captured in the MPC voting reports, is associated with more cases of statistically significant NBP communication events.Practical implicationsThe findings have direct relevance for fund managers, portfolio analysts, investors and also for financial market regulators.Originality/valueThe results provide novel evidence about how the emerging financial market responds to monetary policy announcements. They help understand the nature of the impact of public information on financial assets' valuation and on movements of their prices, analysed comprehensively in three market segments, in the emerging market environment.