Overview

Reactive Publishing Actuarial Finance for Analysts: Insurance Modeling, Pricing, and Risk Measurement Made Practical Insurance is one of the most mathematically rigorous industries in the world, yet most finance professionals never gain a clear, practical understanding of how insurance products are priced, how risk is quantified, or how actuaries build the financial engines behind the system. This book fixes that. Actuarial Finance for Analysts transforms complex actuarial concepts into clean, intuitive, finance-friendly models. You will learn exactly how insurers evaluate risk, design policies, price premiums, manage reserves, forecast liabilities, and build products that must survive decades of uncertainty. Whether you work in finance, analytics, risk management, or data science, this book gives you the tools to understand the actuarial logic behind insurance markets, without needing a graduate degree in mathematics. Built on practical frameworks, real modeling workflows, and step-by-step breakdowns, this guide empowers you to analyze insurance data, build pricing models, and measure risk using financial logic that integrates seamlessly with Excel, Python, and modern analytical environments. What You Will Learn Insurance Modeling Essentials How insurers construct policy models for life, health, auto, property, and specialty lines Understanding claims frequency, severity, loss curves, and exposure modeling Practical methods for forecasting policyholder behavior and long-term liabilities Premium Pricing & Product Design How to calculate pure premiums, loadings, margins, and expense factors Modeling deductibles, coinsurance, and policy limits Rate-making frameworks used by top actuarial teams Risk Measurement & Actuarial Math Mortality tables, hazard rates, and survival functions Loss triangles, chain-ladder techniques, and reserve estimation Probability of ruin, capital adequacy, and regulatory constraints Financial & Investment Integration How insurers invest premiums and hedge long-dated liabilities Asset-liability management (ALM) concepts made simple Measuring duration, convexity, and interest-rate sensitivity for insurance portfolios Claims, Reserves & Profitability Modeling claims development over time Understanding IBNR (incurred but not reported) and reserve risk Profitability breakpoints across different product lines Scenario Analysis & Stress Testing Catastrophic event modeling Interest rate shocks, regulatory shifts, and demographic changes Using sensitivity analysis to evaluate model stability Who This Book Is For Financial analysts entering insurance or risk Actuarial students seeking a practical, finance-centered supplement FP&A, corporate finance, and treasury professionals Data analysts and Python users needing actuarial logic Investors evaluating insurance companies or products Anyone who wants to understand how insurance really works Why This Book MattersInsurance shapes every part of the economy, from healthcare and pensions to autos, homes, and global catastrophe risk. Yet its financial engines remain opaque outside actuarial circles. This book opens the black box. Clear, practical, and grounded in real-world modeling, Actuarial Finance for Analysts gives you the knowledge to understand and evaluate insurance like a professional.

Full Product Details

9798276708492

Table of Contents

Reviews

Author Information

Tab Content 6

Countries Available