Our 2017 plans for behavioral analytics

platform_ruarkbg

 

Are your assumptions informed by credible industry experience?

 

checkWe provide a powerful combination of industry- and company-level experience studies, predictive modeling, traditional analytical techniques, and expert judgment, based on seriatim monthly data since 2007, covering approximately 70% of the annuity industry.

Is your analytical framework robust as new data emerges?

checkWe work with you to customize and implement our behavioral analytics framework, with transparent linkage from experience data to assumption models, naturally suited to regular updates for inforce and new business.

Are your analytics granular enough to mitigate anti-selection and proactively manage changes in your business mix?

checkWe address the many factors of influence and their changes over time, including product and guarantee type, surrender charge period and duration, moneyness of guarantees on actuarial and nominal bases, contract size, tax status, age, gender, distribution channel and compensation structures, and income utilization and efficiency.

Is speed important to you?

checkIt is to us too. We provide the timely and immediately actionable results you need to efficiently manage your company’s behavioral risks.

 


We aim to be the platform and industry benchmark for principles-based insurance data analytics and risk management.


 

2017 VA and FIA Behavioral Modules

For each of: Options
VA Surrenders       VA Income Utilization       VA GMIB Annuitization       FIA Surrenders       FIA Income Utilization 1 2 3
Experience Studies – industry results in aggregate, along with your company results, in a detailed report with numerical exhibits covering key factors, cohorts, and dynamics
Customized assumption model – initially calibrated to industry results, and tailored to your company based on credibility techniques
Review of your current assumptions, and comparison to the customized model above
Benchmarking of your results relative to peers
Presentation and discussion with our team
Membership on our Behavioral Analytics Advisory Council

 

va-fia_timeline

 

Would you like to learn more about implementation and pricing?

Contact: 

Timothy Paris
860.866.7786


How well can you model GLWB behavior?

In collaboration with UCONN's Goldenson Center for Actuarial Research, we have developed a remarkable approach to modeling policyholder behavior for deferred annuities (particularly GLWB income utilization), with strong goodness of fit to historical data and high predictive power. All of this is fueled by industry-level data, and then tailored to each company using credibility procedures. Actuaries, A/E ratios in the 99-101% range?! Yes, it can be done. Hit us up.


Podcast - Growing Your Company’s Predictive Analytics Capabilities.

Steve Wright and Tim Paris participated in this podcast of the Society of Actuaries' Predictive Analytics and Futurism section.

Predictive Analytics Case Study – Growing Your Company’s Capabilities

February 22, 2017

Length: 16:11

Sponsor: Predictive Analytics and Futurism Section

Description: Listen in as Shea Parkes, FSA, MAAA interviews Timothy Paris, FSA, MAAA and Steve Wright, FSA, MAAA from Ruark Consulting.  Tim and Steve have developed predictive analytics expertise at their company over the last few years.  They share stories from that journey and some suggested resources for others wanting to do the same.

https://www.soa.org/prof-dev/podcasts/predictive-analytics-podcasts/

http://traffic.libsyn.com/soapodcasts/SOA_17_01_PAF_01_-_Predictive_Analytics_Case_Study.mp3