"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...

"The purpose of this chapter is to introduce the fundamentals of the R programming language, and the basic tools you will need to use this book; it is therefore an important chapter for readers new to R. The reader is advised, following reading this chapter, to proceed to Chapter 2 which,...

Die Absicherung von Pflegekostenrisiken: Spannungsfeld zwischen Versicherung, Staat und Solidaritätsnormen -- Risiko und Alterssicherung -- Klima- und Nachhaltigkeitsrisiken für Versicherungen -- Risikowahrnehmung durch und nach Corona: Haben sich Verständnis und Wahrnehmung von Risiken...

For centuries, mathematicians and, later, statisticians, have found natural research and employment opportunities in the realm of insurance. By definition, insurance offers financial cover against unforeseen events that involve an important component of randomness, and consequently, probability...

Rapid advances in Artificial Intelligence and Machine Learning are creating products and services with the potential not only to change the environment in which actuaries operate, but also to provide new opportunities within actuarial science. These advances are based on a modern approach to...

"The welfare state has today become a political cudgel used to assign blame for ballooning national debt and tout the need for personal responsibility. Despite objections, social insurance-from workers' compensation laws to pension, disability, and unemployment benefits, to healthcare and...

"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...

This chapter deals with uncertainty and incomplete information in markets. It first considers situations in which the contract proposer is the ignorant party with the problem of designing a mechanism that induces the counter party, who is exogenously endowed with his information, to reveal that...

Fundamentals of Risk and Insurance, 11th Edition presents a thorough and comprehensive introduction to the field of insurance while emphasizing the consumer. The new edition first examines the concept of risk, the nature of the insurance device, and the rinciples of risk management. It then...

Predictive modeling involves the use of data to forecast future events. It relies on capturing relationships between explanatory variables and the predicted variables from past occurrences and exploiting this to predict future outcomes. Forecasting future financial events is a core actuarial...

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.

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...