Claims management and profitability of insurance companies in nigeria
Table Of Contents
Project Abstract
The main objective of this study is to analyse the effects of claims settlement on the profitability of Nigeria Insurance industry. The study adopts descriptive and analytical method of historical and time series data. The study was conducted to cover the period from 1986 to 2011 (twenty-five years). The secondary data used for the study was obtained from the Central Bank of Nigeria (CBN) Statistical Bulletin, 2014. The secondary data were presented in tables and multiple regression method was adopted to assess the relationship between the variables employed. T-statistics and F-statistics were used to test the hypotheses formulated in the study. The result from the analysis revealed that there is a significant relationship between claims settlement and profitability of the Nigerian insurance industry. Also, there is a significant relationship between claims settlement and premium received by insurance industry in Nigeria. It is therefore, recommended that insurance firms need to emphasize prompt payment of adequate claims for increased patronage, which is always reflected in payment of premium and profitability.
Project Overview
Blazingprojects Mobile App
📚 Over 50,000 Project Materials
📱 100% Offline: No internet needed
📝 Over 98 Departments
🔍 Software coding and Machine construction
🎓 Postgraduate/Undergraduate Research works
📥 Instant Whatsapp/Email Delivery
Related Research
Predictive Modeling for Insurance Claim Fraud Detection...
The research project titled "Predictive Modeling for Insurance Claim Fraud Detection" aims to address the critical issue of fraud detection within the...
Predictive Modeling for Insurance Claim Fraud Detection...
Predictive modeling for insurance claim fraud detection is a critical area of research aimed at enhancing the efficiency and accuracy of fraud detection in the ...
Predictive Modeling for Insurance Claim Fraud Detection...
The project topic, "Predictive Modeling for Insurance Claim Fraud Detection," focuses on leveraging advanced predictive modeling techniques to enhance...
Application of Machine Learning in Predicting Insurance Claims Fraud...
The project topic "Application of Machine Learning in Predicting Insurance Claims Fraud" focuses on utilizing advanced machine learning techniques to ...
Analysis of Machine Learning Techniques for Fraud Detection in Insurance Claims...
The project "Analysis of Machine Learning Techniques for Fraud Detection in Insurance Claims" focuses on leveraging advanced machine learning algorith...
Development of a Predictive Model for Insurance Fraud Detection...
The research project titled "Development of a Predictive Model for Insurance Fraud Detection" aims to address the critical issue of fraud within the i...
Implementation of Machine Learning Algorithms for Risk Assessment in Insurance...
The project topic, "Implementation of Machine Learning Algorithms for Risk Assessment in Insurance," focuses on leveraging advanced machine learning t...
Application of Machine Learning Algorithms in Insurance Claim Prediction and Fraud D...
The project topic "Application of Machine Learning Algorithms in Insurance Claim Prediction and Fraud Detection" focuses on utilizing advanced machine...
Predictive Modeling for Insurance Claim Severity and Frequency...
Predictive modeling for insurance claim severity and frequency is a critical area of research within the insurance industry that aims to leverage advanced data ...
