Insurance: Financial Structure and Metrics
Description
Deep dive into insurance financial statements, capital structure, solvency, liquidity, valuation and reporting requirements, and implications for technology design and analytics.
Learning Objectives
IT professionals will be able to analyze insurance financial statements, understand critical metrics such as solvency and liquidity, and design and integrate IT systems for accurate reporting and analytics.
Topics (7)
Predictive modeling, risk-adjusted return, scenario simulation, financial dashboarding, cost optimization via IT.
Balance sheet, income statement, cash flow statement specifics for insurers, comparison to non-insurance companies, regulatory and managerial dimensions.
Risk-based capital, statutory reserves, IFRS/GAAP specifics, NAIC/IRDA/European models, role of IT for computation and monitoring.
Premium collection, investment management, claims payment cycles, cash position monitoring, liquidity risk models.
Investment asset mix, liability projections, matching/mismatching risks, integrated IT systems for ALM and dashboarding.
Embedded value, appraisals, product profitability, actuarial valuation, fair value, and M&A due diligence practices.
Income, reserve, balance sheet, regulatory and management reports, reporting timelines, compliance and audit technology.