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Plastic Card Fraud Coverage and Its Actuarial Challenges: A Case Study. Fall 2006 MWAF September 29, 2006. Case Study Format. This morning, we will…. Describe a coverage that CMG writes. Present two specific actuarial challenges.
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Plastic Card Fraud Coverage and Its Actuarial Challenges: A Case Study Fall 2006 MWAF September 29, 2006
Case Study Format This morning, we will… • Describe a coverage that CMG writes. • Present two specific actuarial challenges. • Ask the audience to brain storm possible solutions or avenues of research for the two challenges.
Remember… • When we “brain storm”, there are no bad or dumb ideas. • This session really depends on your participation. • We have 50 minutes.
The Plastic Card Coverage • Reimburses the insured for losses resulting from an Unauthorized Transaction occurring in the insured’s Card Programs. • Unauthorized Transactions: stolen cards, counterfeited card, “card not present” internet purchases. • Card Programs: Credit, Debit and ATM.
Structure of the Plastic Card Coverage • “Account Number” deductibles and limits (AKA “per card deductibles and limits”). Example: $100 deductible and a $15,000 limit • Annual aggregate deductibles and annual aggregate limits. Example: $25,000 AAD and a $1m AAL
Example of Adjusting a Plastic Card Loss • $100 per card deductible and a $15,000 per card limit. • $25,000 AAD and a $1m AAL.
Scale of CMG’s Plastic Card Program • CMG insures approximately 5,500 credit unions for Plastic Card. • Credit union card programs range from a few hundred to 700,000 cards. • ~1,000 credit unions exceed their AAD each year. • ~90,000 card accounts will sustain losses on policies written in 2006.
The annual aggregate deductible • Frequency of Plastic Card losses We will see that the two actuarial challenges are related to…
Looking for Analogies • Has anyone worked with a coverage that uses an annual aggregate deductible? • Possible analogies: • Excess Aggregate WC Policy • Excess Reinsurance with AAD • Medical Policies with Family AAD
The Loss Reserving Challenge • How does the Reserving Actuary reserve for the Plastic Coverage, a high loss frequency coverage that uses an AAD ? The answer to this question probably depends on the answers to… • How does the Reserving Actuary count claims and assign loss dates?
Loss Reserving Challenge: Approach #1 Suppose we use the convention that we will count and record claims at the policy level, that is, if the AAD is exceeded, we record a single claim. • What loss date do we use? • Do we change the loss date if a loss at the cardholder level changes? • Reserve using AY or PY histories? • Is there is an appropriate matching of revenues and losses?
Loss Reserving Challenge: Approach #2 Suppose we use the convention that we will count and record claims at the cardholder level. • What loss date do we use? • What do we do with the AAD? Allocate a portion of it to each cardholder loss? Does the allocation change with additional cardholder losses? • Reserve using AY or PY histories? • Is there is an appropriate matching of revenues and losses?
Pricing Challenges • For this complex coverage and rapidly changing loss environment • What exposure base should the Pricing Actuary use? • What combination of Pricing Plans (manual, experience and schedule rating) is best • Structuring manual rating for both - Per Event Limit and Deductibles, and- Aggregate Limit and Deductibles
Pricing the Aggregate Deductible Is it sufficient to … • Design a table of Excess Loss Factorsby Deductible Amount? (Too much variation by size of account)
Pricing the Aggregate Deductible Is it sufficient to … • Design a table of Excess Loss Factors by ratio to pure premium (“Entry Ratio”)? (Better, but still too much variationby size of account)
Sidebar: Entry Ratio is not sufficient Are the following equivalent? • 1 policy of 10,000 cards at AAD = 1.0 * E(L) • 100 policies of 100 cards at AAD = 1.0 * E(L) No: Excess loss on 100 small policies will be much higher than on a single large policy
Pricing the Aggregate Deductible Is it sufficient to … • Design a table of Excess Loss Factors by Entry Ratio and size grouping? ? • How many columns do we need? • Creates issues related to column “transitions” • Model interaction with Per Event limitations?
Recent Plastic Card Experience • Beginning with the 4Q 2004, Plastic Card Losses Have Sky-Rocketed Because of.. • Increased Credit Card Counterfeiting Related to File Intrusion at Merchants. • Increased Debit/ATM Card Fraud Related to “Phishing”. • “Ground Up” Losses Have More Than Tripled.