Open Access. Powered by Scholars. Published by Universities.®
Articles 1 - 1 of 1
Full-Text Articles in Entire DC Network
The Modeling Of Earnings Per Share Of Polish Companies For The Post-Financial Crisis Periodusing Random Walk And Arima Models, Wojciech Kuryłek
The Modeling Of Earnings Per Share Of Polish Companies For The Post-Financial Crisis Periodusing Random Walk And Arima Models, Wojciech Kuryłek
Journal of Banking and Financial Economics
The proper forecasting of listed companies’ earnings is crucial for their appropriate pricing. This paper compares forecast errors of different univariate time-series models applied for the earnings per share (EPS) data for Polish companies from the period between the last financial crisis of 2008–2009 and the pandemic shock of 2020. The best model is the seasonal random walk (SRW) model across all quarters, which describes quite well the behavior of the Polish market compared to other analyzed models. Contrary to the findings regarding the US market, this time-series behavior is well described by the naive seasonal random walk model, whereas …