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  1. Home
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  3. Predictive Modeling Applications in Actuarial Science
  • Cited by 6
Publisher:
Cambridge University Press
Online publication date:
August 2016
Print publication year:
2016
Online ISBN:
9781139342681
DOI:
https://doi.org/10.1017/CBO9781139342681
Subjects:
Economics, Statistics for Econometrics, Finance and Insurance, Finance and Accountancy, General Statistics and Probability, Statistics and Probability
Series:
International Series on Actuarial Science
Information

Book description

Predictive modeling uses data to forecast future events. It exploits relationships between explanatory variables and the predicted variables from past occurrences to predict future outcomes. Forecasting financial events is a core skill that actuaries routinely apply in insurance and other risk-management applications. Predictive Modeling Applications in Actuarial Science emphasizes life-long learning by developing tools in an insurance context, providing the relevant actuarial applications, and introducing advanced statistical techniques that can be used to gain a competitive advantage in situations with complex data. Volume 2 examines applications of predictive modeling. Where Volume 1 developed the foundations of predictive modeling, Volume 2 explores practical uses for techniques, focusing on property and casualty insurance. Readers are exposed to a variety of techniques in concrete, real-life contexts that demonstrate their value and the overall value of predictive modeling, for seasoned practicing analysts as well as those just starting out.

Awards

Winner, 2018 Kulp-Wright Book Award, American Risk and Insurance Association

Reviews

Praise for Volume 1:‘With contributions coming from a wide variety of researchers, professors, and actuaries - including several CAS Fellows - it's clear that this book will be valuable for any actuary whose main concern is using predictive modeling in his or her own work.'

David Zornek Source: Actuarial Review

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