Overview

The field of general insurance-also known as non-life or property and casualty insurance-is dynamic, data-driven, and increasingly complex. From auto and home insurance to commercial liability and catastrophe modeling, actuaries working in this space must possess a solid grasp of pricing and reserving techniques to support sound underwriting and financial decision-making. This book, General Insurance Pricing & Reserving: Techniques and Tools for Non-Life Actuaries, is the seventh installment in the Actuarial Mastery Series, a collection designed to equip aspiring and practicing actuaries with the knowledge and practical tools necessary to thrive in today's actuarial landscape. In this volume, we delve into core methodologies such as loss development triangles, the chain ladder method, and the Bornhuetter-Ferguson technique, all of which are essential for estimating reserves with accuracy and confidence. We also introduce Generalized Linear Models (GLMs)-a powerful statistical tool that has become central to modern pricing practices. The goal of this book is twofold: To break down complex reserving and pricing methods into digestible, real-world applications. To help actuaries at all levels-students, exam candidates, and professionals-strengthen their understanding and elevate their analytical capabilities. Throughout the chapters, readers will find examples, step-by-step walkthroughs, and visual aids designed to enhance comprehension. Whether you're preparing for actuarial exams, working on insurance portfolios, or seeking to broaden your skills in non-life insurance, this book serves as both a foundational guide and a practical reference. I would like to express my deep gratitude to the actuarial community-students, mentors, peers, and professionals-who inspire the continuous evolution of actuarial science. Your commitment to excellence, integrity, and innovation shapes the future of this profession. Welcome to Book 7. Let's master the science of general insurance pricing and reserving together. Oluchi Ike July 2025

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