Risk Management's greatest failure has been its inability to simplify its factual presentation and connect with board and executive team members in a language that they can understand and relate to. By using simple well established tools, Models at Work takes readers through a j…
Interest rate modelling has undergone significant change in the last five years following the financial crisis. No longer is a single yield curve sufficient in representing real world markets. Instead, practitioners and academics are now using multi-curve frameworks, which more …
This work illustrates research conducted over a ten-year timespan and addresses a fundamental issue in reliability theory. This still appears to be an empirically disorganized field and the book suggests employing a deductive base in order to evolve reliability as a science. The…
This textbook aims to fill the gap between those that offer a theoretical treatment without many applications and those that present and apply formulas without appropriately deriving them. The balance achieved will give readers a fundamental understanding of key financial ideas …
Why cyberinsurance has not improved cybersecurity and what governments can do to make it a more effective tool for cyber risk management. As cybersecurity incidents-ranging from data breaches and denial-of-service attacks to computer fraud and ransomware-become more common, a cy…
Big data - unstructured and/or structured data being used to influence underwriting, rating, pricing, forms, marketing and claims handling and incentivize risk reduction - is a relatively recent development in the insurance industry, the data sets previously being too impossibly…
A collection of comparative case studies analysing the history, politics and performance of private health insurance globally and its implications for universal health coverage. This is essential reading for graduate students, scholars and policy makers working on health systems…
This book deals with Enterprise Risk Management (ERM) and, in particular, Quantitative Risk Management (QRM) in life insurance business. Constituting a "bridge" between traditional actuarial mathematics and insurance risk management processes, its purpose is to provide advanced …
