Expected Adverse Deviation (EAD) as a Measure of Risk Distribution

Expected Adverse Deviation (EAD) as a Measure of Risk Distribution Derek Freihaut, Rob Walling, and Chris Holt

Code
02
"Expected Adverse Deviation as a Measure of Risk Distribution" is an introduction to an innovative internal risk distribution assessment methodology. Publication is scheduled for 2019 in Variance, a peer-reviewed journal published by the Casualty Actuarial Society (CAS).

Product Details

File Type: .PDF
File Size: 0.278 MB
Number of Pages: 23
Language: English

Product Description

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EAD applications include the assessment of internal risk distribution through a substantial number of statistically independent risk units as described in Avrahami v. Commissioner of Internal Revenue and other U.S. Tax Court rulings. A generally-accepted actuarial approach to quantifying internal risk distribution may provide a method for more captive insurance companies to satisfy the risk distribution requirements of bona fide insurance without accessing a reinsurance pool.

Derek W. Freihaut
FCAS, MAAA Principal and Consulting Actuary
dfreihaut@pinnacleactuaries.com

Robert J. Walling III
FCAS, MAAA, CERA Principal and Consulting Actuary
rwalling@pinnacleactuaries.com

Christopher M. Holt
ACAS, MAAA Consulting Actuary
cholt@pinnacleactuaries.com

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