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Handbook of Insurance: Volume I 3rd ed


ISBN13: 9783031695605
To be Published: December 2024
Publisher: Springer International
Country of Publication: Switzerland
Format: Hardback
Price: £249.99



The Handbook of Insurance reviews the last fifty years of research developments in insurance economics and its related fields. A single reference source for professors, researchers, graduate students, regulators, consultants, and practitioners, the book starts with the history and foundations of risk and insurance theory, followed by a review of prevention and precaution, asymmetric information, insurance fraud, risk management, insurance pricing, new financial innovations, reinsurance, corporate governance, capital allocation, securitization, systemic risk, insurance regulation, the industrial organization of insurance markets, and other insurance market applications. The new edition covers many topics that have risen in importance since the 2nd edition, such as climate risk, pandemic risk, insurtech, digital insurance, cyber risk, behavioral economics, Solvency II, corporate governance, enterprise risk management, and machine learning.

This edition of the Handbook contains 37 new chapters. Each of the chapters is written by leading international authorities in risk and insurance research. All contributions are peer reviewed, and each chapter can be read independently of the others.

Subjects:
Insurance Law
Contents:
Part 1. History
Developments in risk and insurance economics: The past 50 years

Part 2. Climate risk protection
Fifty years of US natural disaster insurance policy
Climate risk and insurance
Household financial resilience after severe climate events: The role of insurance
Insuring wildfires globally
Catastrophe bonds

Part 3. New challenges
Cyber risk and cyber insurance
Digital insurance and insurTech
Pandemic risk management and insurance

Part 4. Life insurance and social insurance
Life insurance financial products
Private equity investments in the life insurance industry
Insurance: Private or social?

Part 5. Empirical models
Causality in empirical analyses with emphasis on asymmetric information and risk management
Econometrics of insurance based on telematics information and machine learning
Data science for insurance fraud detection: A review
Non-negative second-order semiparametric analysis and experience rating in non-life insurance
Efficiency in the insurance industry