SEPTEMBER 09, 2020 08:56 AM (EDT)

AM Best to Host Webinar on Unique On-Demand Catastrophe Modelling Services for Major U.S. Perils: Earthquake, Hurricane, Flood


CONTACTS:
 Lee McDonald
Group Vice President, Publication & News Services
+1 908 439 2200, ext. 5561
lee.mcdonald@ambest.com

FOR IMMEDIATE RELEASE

OLDWICK - SEPTEMBER 09, 2020 08:56 AM (EDT)
AM Best will host a complimentary webinar, sponsored by Xceedance, on Sept. 29, 2020, at 12 p.m. EDT. Data and analytics are leading to a revolution in insurance, not the least of which includes on-demand catastrophe modelling and exposure analysis.

In this one-hour webinar, a panel of experts will discuss the technical advances of three key U.S. peril models (i.e., earthquake, hurricane and flood) and describe pioneering, on-demand risk- and loss-analysis services based on those models. The panel will examine how (re)insurers and brokers can get a credible view of their risks by identifying new or hidden loss drivers. Webinar participants will gain perspective on cost-effectively pricing key U.S. catastrophe risks with more confidence, using a combination of advanced models and associated on-demand services in conjunction with the Oasis Loss Modelling Framework. Register now: http://www.ambest.com/webinars/modelling .

Panelists include:


  • Justin Davies, senior vice president, Xceedance;

  • David Gregory, senior product manager, CoreLogic;

  • Dr. Frank Lavelle, vice president and principal engineer, Applied Research Associates (ARA); and

  • Dr. Andrew Smith, chief operating officer, Fathom.

Attendees can submit questions during registration or by emailing webinars@ambest.com. The event will be streamed in video and audio formats, and playback will be available to registered viewers shortly after the event.

AM Best is a global credit rating agency, news publisher and data analytics provider specializing in the insurance industry. Headquartered in the United States, the company does business in over 100 countries with regional offices in New York, London, Amsterdam, Dubai, Hong Kong, Singapore and Mexico City.