"The business guide to Big Data in insurance, with practical application insight Big Data and Analytics for Insurers is the industry-specific guide to creating operational effectiveness, managing risk, improving financials, and retaining customers. Written from a non-IT perspective, this book...

Preface -- Introduction -- Part 1: History -- Developments in Risk and Insurance Economics: the Past 40 Years -- Part 2 : Risk and Insurance Theory Without Information Problems -- Higher-Order Risk Attitudes -- Non-Expected Utility and the Robustness of the Classical Insurance Paradigm -- The...

I History -- 1 Developments in Risk and Insurance Economics: The Past 25 Years -- II Insurance Theory Without Information Problems -- 2 Non-Expected Utility and the Robustness of the Classical Insurance Paradigm -- 3 Optimal Insurance Design: What can we do with and without Expected Utility? --...

From the introduction: Economic and financial research on insurance markets has undergone dramatic growth since its infancy in the early 1960s. Our main objective in compiling this volume was to achieve a wider dissemination of key papers in this literature. Their significance is highlighted in...

This book details the research developments in insurance and its related fields. It starts with the history and foundations of insurance theory and moves on to review asymmetric information, risk management, insurance pricing and other advance topics.

"This book holds that the demand for insurance is best understood, not by focusing on risk preferences, but by focusing on the additional income, the states of the world that trigger the income transfer from the insurer, and the value of income (and consumption) in those states. It is unlikely...