
Project Type MQP Submission date 2009-04-30 Authors Haiying Liu, MAC Aryeh L Shatz, MAC Mingzhu Zheng, MAC URN E-project-043009-161344 Sponsor Hanover Insurance Group Title Predicting Future Paid Losses Advisor Abraham, Jon P, MA Availability unrestricted Abstract
This project finds the best mathematical model to forecast the future losses for each state from a given series of historical data by Hanover Insurance Group. There are nine models chosen after analyzing all the states' data. The score method is applied to seek out the accurate models among the nine models. Comprehensive analysis also shows that some external experience needs to be used in order to make the prediction more precise.
Files Auto_Defined_Data.xlsm Predicting_Future_Paid_Losses.pdf
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