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GBMs and How to Use Them in P&C Insurance

Description

PLEASE NOTE: REGISTRATION WILL CLOSE 10 AM ET THE DAY OF THE WEBINAR. DUE TO HIGH VOLUME OF DEMAND, WE ARE ONLY ABLE TO GUARANTEE A SEAT TO THOSE WHO REGISTER 48 HOURS AHEAD OF THE WEBINAR TIME.

GBMs present a significant opportunity for improved predictive power over GLMs. However, insurance practitioners know they need to balance other priorities, such as transparency and stability – areas that can be weaknesses for GBMs. After a brief introduction to GBMs, we will discuss specific issues related to their use for insurance applications. We will then demonstrate different approaches to address these issues, focusing on answering questions such as:

• For what types of problems does it make sense to use GBMs instead of GLMs?
• How can I understand the predictions a GBM makes?
• How can I ensure my GBM is sufficiently stable?

With this foundation in mind, we will take a look at how GBMs are currently being used in US P&C insurance and how that compares to differently regulated markets, such as the UK.

Learning Objectives:

1. Understand at a high level how GBMs work and compare them to GLMs.
2. Recognize issues associated with using GBMs for some insurance problems.
3. Assess different ways in which these issues are being addressed.

Registration Information and Fees

PLEASE NOTE: REGISTRATION WILL CLOSE 10 AM ET THE DAY OF THE WEBINAR

Registration Fees (in U.S. Dollars) Received on/by
August 15, 2024
Received after
August 15, 2024
Individual $50 $75
Multiple Connections**
(Unlimited internet connections for individuals working for the same company. Please note that audio for this presentation will be streamed via the web)
$600 $650

*Multiple Connection Registrations should contact Mallory Peebles directly at
mpeebles@casact.org. The registering party for the Multiple Connection Registration will be responsible for distributing all event details to attending individuals within their company.

No Broadcast Policy
Your registration entitles you to access CAS’ webinar programs for which you have registered. By registering to attend the webinars, you agree not to sell, transfer, or otherwise share your webinar access link and/or code unless such sharing is authorized by CAS. You further agree not to record or broadcast CAS’ webinar programs without advance written authorization by CAS.

Cancellations/Refunds
Registrations fees will be refunded for cancellations received in writing through email, refund@casact.org, by August 22, 2024 less a $25 processing fee.

CAS Continuing Education Policy
The CAS Continuing Education Policy applies to all ACAS and FCAS members who provide Actuarial Services. Actuarial Services are defined in the CAS Code of Professional Conduct as “professional services provided to a Principal by an individual acting in the capacity of an actuary. Such services include the rendering of advice, recommendations, findings or opinions based upon actuarial considerations.” Members who are or could be subject to the continuing education requirements of a national actuarial organization can meet the requirements of the CAS Continuing Education Policy by satisfying the continuing education requirements established by a national actuarial organization recognized by the Policy. For further information regarding the CAS Continuing Education Policy please visit the CAS web site.

CAS Webinars may qualify for up to 1.8* CE Credits for CAS members.
Participants should claim credit commensurate with the extent of their participation in the activity. CAS members earn 1 CE Credit per 50 minutes of educational session time, not to include breaks and/or lunch. *The amount of CE credit that can be earned for participating in this activity must be assessed by the individual attendee. It also may be different for individuals who are subject to the requirements of organizations other than the Casualty Actuarial Society.

Contributors

  • Benjamin Williams

    Benjamin Williams is a specialist in applications of predictive analytics, including personal and commercial lines pricing and underwriting and claims. He has nearly 20 years of experience in P&C insurance.

  • Liam McGrath

    Liam McGrath is a data scientist and ACAS with other 10 years of experience in P&C insurance, with a focus on predictive modeling and advanced analytics.

August 29, 2024
Thu 12:00 PM EDT

Duration 1H 30M

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