Big Data and Regulation in the Insurance Industry

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Presentation transcript:

Big Data and Regulation in the Insurance Industry Lars Powell, PhD Executive Director Alabama Center for Insurance Information and Research University of Alabama

Benefits of Big Data applications

Benefits of Big Data applications Accurate prices Efficient risk-taking Telematics New rating variables

Benefits of Big Data applications Customer satisfaction Real-time monitoring Appropriate products

Benefits of Big Data applications Increasing coverage Cat models Satellite data Granular underwriting and rates

Benefits of Big Data applications Claims process Reducing fraud Link analysis, text analysis Improving accuracy Improving customer satisfaction

Benefits of Big Data applications Increasing efficiency Reducing search costs for consumers Reducing operating costs for insurers

Issues Substantial changes to regulation of insurance products Disclosure Price segmentation Disparate impact Regulatory resources

Disclosure A noble goal Can reduce efficacy of rating variables  Less accurate rates Probably a losing argument

Price segmentation Accurate prices Optimal incentives Competitive markets Does not reduce ability to pool risk Not feasible for premiums to be “too accurate”

Disparate Impact Accurate pricing only has disparate impact on high-risk policyholders

Regulatory resources Model complexity Advanced statistical methods Opacity vs. transparency State vs. Federal regulation?

Insurance markets work very well

Complaints by Category and Premium

Competition Measures Source: NAIC 2014 Competition Database Report

Average Annual Return on Net Worth by Industry: 2006 – 2015 Sources: ISO®, a Verisk business® and Fortune, as reported by Insurance Information Institute at: http://www.iii.org/publications/insurance-fact-book-2016/property-casualty-financial-data/financial-results

Thank you