Description
Predictive modeling uses data to forecast future events. It exploits relationships between explanatory variables and the anticipated variables from past occurrences to predict future outcomes. Forecasting financial events is a core skill that actuaries automatically 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 utilized to achieve a competitive advantage in situations with complex data. Volume 2 examines applications of predictive modeling. Where Volume 1 developed the principles of predictive modeling, Volume 2 explores practical uses for techniques, specializing in property and casualty insurance. Readers are exposed to numerous techniques in concrete, real-life contexts that demonstrate their value and the whole value of predictive modeling, for seasoned practicing analysts in addition to the ones just starting out.