The series provides a comprehensive and cutting-edge resource for professionals, academics, and students in the field of actuarial science. It aims to foster the exchange of knowledge, promote innovative research, and enhance the understanding of actuarial principles and practices. Contributions to the series will support one or more of the following key objectives. Key Objectives:
The series is committed to upholding the highest standards of quality, rigor, and relevance. It seeks to be a valuable resource for practitioners seeking to enhance their skills, educators looking for comprehensive teaching materials, and researchers aiming to contribute to the advancement of actuarial science.
Please contact us if you have an idea for a book for the series.
By Edward W. Frees
April 09, 2025
Constructing Insurable Risk Portfolios offers a data-driven approach to devising risk retention programs that safeguard firms from a multitude of risks. Because firms face many risks, including fire damage to their buildings, liability from management misconduct, and external threats like ...
By Guojun Gan
October 15, 2024
Actuarial loss models are statistical models used by insurance companies to estimate the frequency and severity of future losses, set premiums, and reserve funds to cover potential claims. Actuarial loss models are a subject in actuarial mathematics that focus on the pricing and reserving for ...
By Pietro Parodi
May 02, 2023
Based on the syllabus of the actuarial profession courses on general insurance pricing – with additional material inspired by the author’s own experience as a practitioner and lecturer – Pricing in General Insurance, Second Edition presents pricing as a formalised process that starts with ...
By Philip J. Boland
March 05, 2007
Statistical and Probabilistic Methods in Actuarial Science covers many of the diverse methods in applied probability and statistics for students aspiring to careers in insurance, actuarial science, and finance. The book builds on students’ existing knowledge of probability and statistics by ...