Factors Affecting Corporate Financial Performance Of Ethiopian Insurance Business

This study investigates the factors affecting corporate financial performance of Ethiopian insurance business, with a particular focus on the key factors influencing profitability. The study employs Return on Assets (ROA) and Return on Equity (ROE) as measures of financial performance, while independent variables include investment income, firm size, loss ratio, liquidity, risk management, and GDP as a macroeconomic factor. Using a fixed-effects regression model, the analysis reveals that investment income and firm size have a significant positive impact on both ROA and ROE, highlighting their critical role in driving profitability. Conversely, the loss ratio exhibits a significant negative effect on financial performance, emphasizing the importance of efficient claims management in the insurance sector. Liquidity management also shows a positive correlation with profitability, while risk management and GDP have weaker and less consistent effects. The findings suggest that while macroeconomic factors like GDP play a secondary role, firm-specific factors such as investment income, firm size, and claims management are more influential in determining the financial success of insurance companies in Ethiopia. This research provides valuable insights for policymakers and industry practitioners seeking to enhance the performance of the Ethiopian insurance market.

Authors

Publication Details

Journal
African Journal of Biomedical Research
Published
2024-12-06
DOI
https://doi.org/10.53555/ajbr.v27i4s.4595
Citations
1
Primary Topic
Insurance and Financial Risk Management
Type
article
Field-Weighted Citation Impact
1.13
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Factors Affecting Corporate Financial Performance Of Ethiopian Insurance Business

Dereje Mekoya Haile
1 citations
African Journal of Biomedical Research
Insurance and Financial Risk Management
1.13
article

Factors Affecting Corporate Financial Performance Of Ethiopian Insurance Business

Dereje Mekoya Haile
article en
1 citations

Abstract

This study investigates the factors affecting corporate financial performance of Ethiopian insurance business, with a particular focus on the key factors influencing profitability. The study employs Return on Assets (ROA) and Return on Equity (ROE) as measures of financial performance, while independent variables include investment income, firm size, loss ratio, liquidity, risk management, and GDP as a macroeconomic factor. Using a fixed-effects regression model, the analysis reveals that investment income and firm size have a significant positive impact on both ROA and ROE, highlighting their critical role in driving profitability. Conversely, the loss ratio exhibits a significant negative effect on financial performance, emphasizing the importance of efficient claims management in the insurance sector. Liquidity management also shows a positive correlation with profitability, while risk management and GDP have weaker and less consistent effects. The findings suggest that while macroeconomic factors like GDP play a secondary role, firm-specific factors such as investment income, firm size, and claims management are more influential in determining the financial success of insurance companies in Ethiopia. This research provides valuable insights for policymakers and industry practitioners seeking to enhance the performance of the Ethiopian insurance market.

African Journal of Biomedical Research
Decent work and economic growth
Openalex Percentile: Top 10%
Insurance and Financial Risk Management
1.13
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.