This project aims to develop a structured disaster risk assessment framework for insurance companies operating in high-risk zones. It focuses on identifying natural and man-made disaster risks, evaluating exposure levels, and improving underwriting accuracy to minimize financial losses and enhance risk mitigation strategies.
Study the concept of disaster risk management in the insurance sector.
Identify major disaster types affecting insurance portfolios (floods, earthquakes, cyclones, pandemics).
Analyze historical disaster loss data from reliable secondary sources.
Evaluate risk exposure across different geographic regions.
Study catastrophe modeling techniques used in insurance underwriting.
Analyze risk-based premium pricing strategies.
Assess reinsurance arrangements to mitigate large-scale losses.
Conduct interviews or surveys with insurance professionals (if possible).
Identify gaps in current risk assessment practices.
Develop a structured disaster risk assessment model for insurers.
Suggest improvements in underwriting policies for high-risk areas.
Provide recommendations for integrating technology such as GIS and predictive analytics.
Prepare a detailed analytical report with charts and data interpretations.
