Modeling Determinants of the Dividend Policy of Russian Companies

DOI

10.2991/emle-18.2018.38How to use a DOI?

Keywords

dividends; dividend policy; determinants of dividend policy; binary logistic model; logistic analysis

Abstract

The article is devoted to the analysis of dividend policy determinants of Russian non-financial companies. The article relies on a regression analysis of data for MoEx listed companies, dating from 2013 till 2017. As a result the article identifies five determining factors of dividend policy relevant in Russian practice. The authors propose a binary logistic model that allows to model dividend payments. Based on the analysis of empirical data, the article tests this model with a statistically significant result.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Gukovskaya Anastasia
AU  - Mikhaylusov Mark
PY  - 2018/12
DA  - 2018/12
TI  - Modeling Determinants of the Dividend Policy of Russian Companies
BT  - Proceedings of the 4th International Conference on Economics, Management, Law and Education (EMLE 2018)
PB  - Atlantis Press
SP  - 222
EP  - 225
SN  - 2352-5428
UR  - https://doi.org/10.2991/emle-18.2018.38
DO  - 10.2991/emle-18.2018.38
ID  - Anastasia2018/12
ER  -