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The modeling of earnings per share of Polish companies for the post-financial crisis periodusing ran...

The modeling of earnings per share of Polish companies for the post-financial crisis periodusing ran...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_ceeol_journals_1241312

The modeling of earnings per share of Polish companies for the post-financial crisis periodusing random walk and ARIMA models

About this item

Full title

The modeling of earnings per share of Polish companies for the post-financial crisis periodusing random walk and ARIMA models

Author / Creator

Publisher

Wydawnictwo Naukowe Wydziału Zarządzania Uniwersytetu Warszawskiego

Journal title

Journal of Banking & Financial Economics, 2023, Vol.19 (1), p.26-43

Language

English

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Publication information

Publisher

Wydawnictwo Naukowe Wydziału Zarządzania Uniwersytetu Warszawskiego

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Scope and Contents

Contents

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...

Alternative Titles

Full title

The modeling of earnings per share of Polish companies for the post-financial crisis periodusing random walk and ARIMA models

Authors, Artists and Contributors

Author / Creator

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Record Identifier

TN_cdi_ceeol_journals_1241312

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_ceeol_journals_1241312

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ISSN

2353-6845

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