Risk indicators and related aspects in insurance companies in Palestine

  • Received June 2, 2021;
    Accepted July 14, 2021;
    Published August 4, 2021
  • Author(s)
  • DOI
    http://dx.doi.org/10.21511/ins.12(1).2021.04
  • Article Info
    Volume 12 2021, Issue #1, pp. 43-50
  • TO CITE АНОТАЦІЯ
  • Cited by
    2 articles
  • 553 Views
  • 217 Downloads

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License

The purpose of this paper is to identify the impact of risk indicators of insurance companies listed on the Palestine Stock Exchange on earnings per share over the period 2010–2017. The sample consists of seven insurance companies listed on the Palestine Stock Exchange. The data was analyzed using the OLS regression technique. This helps to determine the relationship between the independent variable (earnings per share) and the dependent variables (liquidity risk, capital risk, rate of risky assets). The results show that the liquidity risk has a positive impact on earnings per share, while capital risk and rate of risky assets have a negative impact. This means that insurance companies listed on the Palestine Stock Exchange can achieve an acceptable balance between the liquidity risk index and the earnings per share in a way that does not prevent them from fulfilling their obligations. The findings of this study are demonstrated using figures and diagrams. The study recommends that insurance companies need to pay extra attention to risks and identify effective policies to deal with risks and reduce their impact, especially capital risk and the rate of risky assets. This is because these factors negatively affect earnings per share. The results of this study will be useful to relevant stakeholders in the sector.

Acknowledgment
We would like to thank the Palestine Technical University for their continuous and valuable support.

view full abstract hide full abstract
    • Table 1. Palestinian insurance companies listed on the Palestine Stock Exchange in 2010–2017
    • Table 2. Variable concepts and measurements
    • Table 3. Descriptive statistics
    • Table 4. Regression results
    • Data curation
      Bahaa Razia, Bahaa Sobhi Awwad
    • Conceptualization
      Bahaa Razia
    • Supervision
      Bahaa Razia
    • Writing – original draft
      Bahaa Razia
    • Writing – review & editing
      Bahaa Razia
    • Formal Analysis
      Bahaa Sobhi Awwad
    • Software
      Bahaa Sobhi Awwad
    • Validation
      Bahaa Sobhi Awwad
    • Visualization
      Bahaa Sobhi Awwad