Long before the age of Big Data or the rise of today's self-quantifiers, American capitalism embraced risk --and proceeded to number our days. Life insurers led the way, developing numerical practices for measuring individuals and groups, predicting their fates, and intervening …
Long before the age of Big Data or the rise of today's self-quantifiers, American capitalism embraced risk --and proceeded to number our days. Life insurers led the way, developing numerical practices for measuring individuals and groups, predicting their fates, and intervening …
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 perspecti…
This book summarizes the state of the art in tree-based methods for insurance: regression trees, random forests and boosting methods. It also exhibits the tools which make it possible to assess the predictive performance of tree-based models. Actuaries need these advanced analyt…
""Loss Models: From Data to Decisions, Fourth Edition""; ""Contents""; ""Preface""; ""PART I INTRODUCTION""; ""1 Modeling""; ""1.1 The model-based approach""; ""1.1.1 The modeling process""; ""1.1.2 The modeling advantage""; ""1.2 Organization of this book""; ""2 Random variable…
Risk management for financial institutions is one of the key topics the financial industry has to deal with. The present volume is a mathematically rigorous text on solvency modeling. Currently, there are many new developments in this area in the financial and insurance industry…
Risk management for financial institutions is one of the key topics the financial industry has to deal with. The present volume is a mathematically rigorous text on solvency modeling. Currently, there are many new developments in this area in the financial and insurance industry…
Risk management for financial institutions is one of the key topics the financial industry has to deal with. The present volume is a mathematically rigorous text on solvency modeling. Currently, there are many new developments in this area in the financial and insurance industry…
Based on a loss function approach, this comprehensive reference reviews the most recent advances in financial and actuarial modeling, providing a strong statistical background for advanced methods in pension plan structuring, risk estimation, and modeling of investment and optio…
This text reviews advances in financial and actuarial modeling. It offers an analysis of American options models, mortality adjustment factors for increased risk individuals and time trend regression adjustments for mortality tables.
