Determinants of the Dividend Policy: An Empirical Study on the Lebanese Listed Banks
Christopher Maldajian; Rim El Khoury · 2014 · International Journal of Economics and Finance
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract
This research aims at investigating the factors determining the dividend payout policy in the Lebanese banks listed on the Beirut Stock Exchange. This study considers the impact of seven variables, namely, profitability, liquidity, leverage, firm size, growth, firm risk and previous year’s dividend payout on the dividend payout ratios by using an unbalanced panel dataset of listed banks between the years of 2005 and 2011. Two models were tested using the OLS and the dynamic panel regressions. Empirical results show that the dividend payout policies are positively affected by the firm size, ris
Abstract by Christopher Maldajian; Rim El Khoury, International Journal of Economics and Finance (2014) — licensed CC BY 4.0.
About to run something similar?
Run an AI Precheck on your own design to catch failure modes like this one before you spend the time. Your first desk check is free.
Related failures
The influence of relational competencies on supply chain resilience: a relational view
Negative / Null Result ReportJob satisfaction and organizational commitment effect in the transformational leadership towards employee performance
Negative / Null Result ReportDynamic capabilities and their indirect impact on firm performance
Negative / Null Result ReportDo Socially Responsible Firms Pay More Taxes?
Negative / Null Result ReportThe Janus face of artificial intelligence feedback: Deployment versus disclosure effects on employee performance
Negative / Null Result ReportPine and Gilmore's Concept of Experience Economy and Its Dimensions: An Empirical Examination in Tourism
WASTE indexes this work — it does not host or republish it. Failure-type classification is automated and approximate.
Metadata source: OpenAlex · DOI 10.5539/ijef.v6n4p240
