Cracking the code: Unveiling dividend policy factors in Palestine’s stock exchange (PEX)

This study aims to enrich the literature on dividend policy by better understanding the factors and determinants affecting dividends. This study used 11 independent variables from secondary data, balanced panel techniques, and fixed and random effect regressions for 29 listed companies over seven years. The results indicate a favorable association between (earnings per Share, Cash flow, Firm Size, and Lagged dividends) and dividend payout ratios. None of the other predictors were significant in the regression analysis. This is the first study that comprehensively covers dividend policy using 11 variables identified by researchers. Since this area of research is still considered a puzzle, this study presented an improved model with a 75% model fit. Policymakers should revise current dividend policy disclosure to serve investors' needs and goals. Future research includes understanding cultural norms, expanding the sample size, and possibly subdividing observations into sectoral categories.

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Publication Details

Journal
Edelweiss Applied Science and Technology
Published
2024-09-27
DOI
https://doi.org/10.55214/25768484.v8i5.2004
Citations
1
Primary Topic
Islamic Finance and Banking Studies
Type
article
Field-Weighted Citation Impact
0.95
Controls
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article

Cracking the code: Unveiling dividend policy factors in Palestine’s stock exchange (PEX)

Naji Anton Alslaibi
1 citations
Edelweiss Applied Science and Technology
Islamic Finance and Banking Studies
0.95
article

Cracking the code: Unveiling dividend policy factors in Palestine’s stock exchange (PEX)

Naji Anton Alslaibi
article en
1 citations

Abstract

This study aims to enrich the literature on dividend policy by better understanding the factors and determinants affecting dividends. This study used 11 independent variables from secondary data, balanced panel techniques, and fixed and random effect regressions for 29 listed companies over seven years. The results indicate a favorable association between (earnings per Share, Cash flow, Firm Size, and Lagged dividends) and dividend payout ratios. None of the other predictors were significant in the regression analysis. This is the first study that comprehensively covers dividend policy using 11 variables identified by researchers. Since this area of research is still considered a puzzle, this study presented an improved model with a 75% model fit. Policymakers should revise current dividend policy disclosure to serve investors' needs and goals. Future research includes understanding cultural norms, expanding the sample size, and possibly subdividing observations into sectoral categories.

Edelweiss Applied Science and TechnologyVol. 8(5)
Financial Research (Hungary) (HU)
Openalex Percentile: Top 20%
Islamic Finance and Banking Studies
0.95
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