2020 Analytics Teaming-up with CSS for Auto Industry Webinar

By March 31, 2018 No Comments

On Thursday, March 22, 2018, 2020 Analytics will be teaming-up with CUNA Strategic Services for a presentation titled “The Changing Landscape of Auto Lending – 2018 Update”.

Attendees can register at CUNA Strategic Services’ website here, by clicking the “Register Now” link at the bottom of the page.

This webinar comes on the heels of the well-received presentation 2020 Analytics gave in May 2017 on the status of the Auto Industry. As a result of overwhelming demand, we plan on making the Auto Industry Update a recurring web series, with Thursday, March 22nd serving as the 2nd edition.


In late-2015, 2020 Analytics noticed that despite improving unemployment, credit quality and other economic indicators, auto collateral values were decreasing at an increasing rate. Compounded by more aggressive underwriting practices, including higher original LTVs and longer terms, LTVs on auto loans were trending higher, and recovery rates on auto charge-offs were diminishing.

What will be Presented?

We have accumulated data, and worked with our credit union clients and our auto valuation partner, Black Book Lending Solutions, to answer the question – what is causing this shift in the auto lending landscape and how does that impact credit unions?

Join 2020 Analytics, where we’ll explore this question, along with:

  • Changes that we have observed in the auto lending market
  • How the changes have affected our credit union clients
  • What credit unions can do to adjust to new market trends
  • How we view the future of auto lending

Connect With Us

If you have any questions or are interested in learning more about how industry factors affect auto lending, don’t hesitate to reach out – we would be glad to chat.

If you are interested in the topic, but unable to attend the webinar, feel free to get in touch with us, and we can point you in the right direction so you can download it and watch it later.


-Alan Veitengruber
2020 Blogger

2O2O Analytics

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