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Study Uses Court Record Data to Predict Policy Claims and Losses

Feb 09, 2016
Is there a correlation between court record violation activity and homeowners insurance loss ratio performance

Is there a correlation between court record violation activity and homeowners insurance loss ratio performance? According to a new study by Chicago-based TransUnion, the answer is yes.

“The homeowners insurance industry is expanding its use of underwriting variables and rating techniques and is more closely evaluating those that are traditionally used in the personal automobile insurance underwriting process,” said Mark McElroy, executive vice president of TransUnion’s insurance business unit. “The findings clearly show that the use of alternative data assets such as court record violations can help property insurance carriers better assess a homeowner’s risk. As insurance carriers incorporate driving records to properly price riskier policies, consumers with clean driving records can benefit.”

By using definition of defined “court record” data to encompass both criminal and traffic violations, TransUnion determined that one-quarter of policies had at least one criminal or traffic violation based on the primary named insured. But when the court record data of the additional members of a household were added into the configuration, the violation hit rate increased from 25 percent to 34 percent.

“The current macro-economic trends and the consumer market show there is a greater demand for using broader data attributes to deliver better predictive analytics,” said Geoff Hakel, senior vice president of TransUnion’s insurance business unit. “Incorporating court record violation data into the pricing and underwriting process provides property insurance carriers greater pricing sophistication and profitability.”

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