IDEAS home Printed from https://ideas.repec.org/a/vls/rojfme/v10y2022i1p108-113.html
   My bibliography  Save this article

Investigating The Dividend Policy Determinants Using A Poisson Regression

Author

Listed:
  • LEONIDA, Ionel

    (Centre for Financial and Monetary Research “Victor Slavescu”, N.I.E.R., Romanian Academy, Bucharest, Romania Author-Name: CEPOI, Cosmin Octavian
    Centre for Financial and Monetary Research “Victor Slavescu”, N.I.E.R., Romanian Academy, Bucharest, Romania)

Abstract

Using a sample of 4815 companies operating in various sectors of activity in EU countries, we investigate the firm-related factors influencing the frequency of dividend payments. Using a Poisson regression, we bring strong empirical evidence that the frequency of dividends payouts is influenced by the size of the firm, its profitability, indebtness and ownership structure. Furthermore, we find inconclusive results relating the frequency of the dividend payouts to the liquidity of the firm. When accounting for overdispersion problems via a Zero-Inflated Poisson (ZIP), the coefficients remain stable as sing and statistical significance, but their impact is diminished.

Suggested Citation

  • LEONIDA, Ionel, 2022. "Investigating The Dividend Policy Determinants Using A Poisson Regression," Journal of Financial and Monetary Economics, Centre of Financial and Monetary Research "Victor Slavescu", vol. 10(1), pages 108-113, October.
  • Handle: RePEc:vls:rojfme:v:10:y:2022:i:1:p:108-113
    as

    Download full text from publisher

    File URL: http://www.icfm.ro/RePEc/vls/vls_pdf_jfme/vol10i1p108-113.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Beladi, Hamid & Hu, May & Li, Silei & Yang, JingJing, 2022. "Dual-class share structure on the dividend payout policy: Evidence from China Concepts Stocks," International Review of Financial Analysis, Elsevier, vol. 82(C).
    2. Cameron, A. Colin & Trivedi, Pravin K., 1990. "Regression-based tests for overdispersion in the Poisson model," Journal of Econometrics, Elsevier, vol. 46(3), pages 347-364, December.
    3. Ye, Dezhu & Deng, Jie & Liu, Yi & Szewczyk, Samuel H. & Chen, Xiao, 2019. "Does board gender diversity increase dividend payouts? Analysis of global evidence," Journal of Corporate Finance, Elsevier, vol. 58(C), pages 1-26.
    4. Jansakul, N. & Hinde, J. P., 2002. "Score Tests for Zero-Inflated Poisson Models," Computational Statistics & Data Analysis, Elsevier, vol. 40(1), pages 75-96, July.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. José Santos & M. Neves, 2008. "A local maximum likelihood estimator for Poisson regression," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 68(3), pages 257-270, November.
    2. Yixuan Zou & Jan Hannig & Derek S. Young, 2021. "Generalized fiducial inference on the mean of zero-inflated Poisson and Poisson hurdle models," Journal of Statistical Distributions and Applications, Springer, vol. 8(1), pages 1-15, December.
    3. Bettina Becker & Martin Theuringer, 2000. "Macroeconomic Determinants of Contingent Protection: The Case of the European Union," IWP Discussion Paper Series 02/2000, Institute for Economic Policy, Cologne, Germany.
    4. Luiz Paulo Fávero & Joseph F. Hair & Rafael de Freitas Souza & Matheus Albergaria & Talles V. Brugni, 2021. "Zero-Inflated Generalized Linear Mixed Models: A Better Way to Understand Data Relationships," Mathematics, MDPI, vol. 9(10), pages 1-28, May.
    5. Rui Baptista & Joana Mendonça, 2010. "Proximity to knowledge sources and the location of knowledge-based start-ups," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 45(1), pages 5-29, August.
    6. Boncinelli, Fabio & Bartolini, Fabio & Casini, Leonardo, 2018. "Structural factors of labour allocation for farm diversification activities," Land Use Policy, Elsevier, vol. 71(C), pages 204-212.
    7. Steven F. Kreft & Nancy M. Epling, 2007. "Do border crossings contribute to underage motor‐vehicle fatalities? An analysis of Michigan border crossings," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 40(3), pages 765-781, August.
    8. Greene, William, 2007. "Functional Form and Heterogeneity in Models for Count Data," Foundations and Trends(R) in Econometrics, now publishers, vol. 1(2), pages 113-218, August.
    9. Christopher J. W. Zorn, 1998. "An Analytic and Empirical Examination of Zero-Inflated and Hurdle Poisson Specifications," Sociological Methods & Research, , vol. 26(3), pages 368-400, February.
    10. Das, Ujjwal & Das, Kalyan, 2018. "Inference on zero inflated ordinal models with semiparametric link," Computational Statistics & Data Analysis, Elsevier, vol. 128(C), pages 104-115.
    11. Jim Millington, 2000. "Migration and Age: The Effect of Age on Sensitivity to Migration Stimuli," Regional Studies, Taylor & Francis Journals, vol. 34(6), pages 521-533.
    12. Christian Kleiber & Achim Zeileis, 2016. "Visualizing Count Data Regressions Using Rootograms," The American Statistician, Taylor & Francis Journals, vol. 70(3), pages 296-303, July.
    13. Boubaker, Sabri & Labégorre, Florence, 2008. "Ownership structure, corporate governance and analyst following: A study of French listed firms," Journal of Banking & Finance, Elsevier, vol. 32(6), pages 961-976, June.
    14. Yang, Xia & Ma, Zhong, 2022. "Institutional investors’ corporate site visits and dividend payouts," International Review of Economics & Finance, Elsevier, vol. 80(C), pages 697-716.
    15. Bertoli, Simone & Marchetta, Francesca, 2015. "Bringing It All Back Home – Return Migration and Fertility Choices," World Development, Elsevier, vol. 65(C), pages 27-40.
    16. Paul Kwame Nkegbe & Naasegnibe Kuunibe & Samuel Sekyi, 2017. "Poverty and malaria morbidity in the Jirapa District of Ghana: A count regression approach," Cogent Economics & Finance, Taylor & Francis Journals, vol. 5(1), pages 1293472-129, January.
    17. Lago-Peñas Carlos & Rey Ezequiel & Kalén Anton, 2019. "How does Video Assistant Referee (VAR) modify the game in elite soccer?," International Journal of Performance Analysis in Sport, Taylor & Francis Journals, vol. 19(4), pages 646-653, July.
    18. Abbas Moghimbeigi & Mohammed Reza Eshraghian & Kazem Mohammad & Brian Mcardle, 2008. "Multilevel zero-inflated negative binomial regression modeling for over-dispersed count data with extra zeros," Journal of Applied Statistics, Taylor & Francis Journals, vol. 35(10), pages 1193-1202.
    19. Ulf‐ G. Gerdtham, 1997. "Equity in Health Care Utilization: Further Tests Based on Hurdle Models and Swedish Micro Data," Health Economics, John Wiley & Sons, Ltd., vol. 6(3), pages 303-319, May.
    20. Andrea Bastianin & Marzio Galeotti & Matteo Manera, 2019. "Statistical and economic evaluation of time series models for forecasting arrivals at call centers," Empirical Economics, Springer, vol. 57(3), pages 923-955, September.

    More about this item

    Keywords

    Dividend policy; Poisson regression; Overdispersion.;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • G35 - Financial Economics - - Corporate Finance and Governance - - - Payout Policy

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:vls:rojfme:v:10:y:2022:i:1:p:108-113. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Daniel Mateescu (email available below). General contact details of provider: https://edirc.repec.org/data/cfiarro.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.