Credit Card Risk: Cloudy With Rosy Highlights

Credit Card Risk: Cloudy With Rosy Highlights

Credit Card Risk: Cloudy With Rosy Highlights

Credit card revenue modeling used to be simple. If you were like most top credit card issuers, you could build a reliable forecast by building the aggregate from the bottom up by looking at account seasoning.  Accounts booked in month “X” were 24 months old, FICO Scores were stable, Credit Line Utilization was “Z,” and current write-off performance was “N.” Unemployment numbers were steady.

Build the model out month by month. You are home free with a prediction that served investors well and supported management bonuses for operational losses and credit card revenue.

Now comes COVID, and the models do not make as much sense, as The Wall Street Journal reported today in an article titled “The Coronavirus Economy Is a Mixed Bag for Credit-Card Issuers.” Here are some of the highlights:

Predictability is key to good forecasting and credit manager success. Operating managers can handle losses, but no one likes surprises. If risk went up the line and recognized correctly, accountants can brace for the change, and operating heads can add resources.

I learned this at Citi decades ago. Being $10 million worse or $10 million better on a monthly forecast indicates you do not know what is going on in the business.  Sure, everyone wants to be a hero, but if your manager is expecting to land at a specific number, and you bring an unexpected $10 million benefit, that raises a question. Were you sandbagging, or do you not know how your numbers flow?

But today, some metrics move erratically.

Richard Fairbank knows credit cards better than most after building Capital One into a global force in credit cards. In a WSJ quote, he says:

Yet, credit card results hold firm (at least for the moment):

But for now, the books will close in exactly 64 days. I bet we all can’t wait to turn the page!

Overview by Brian Riley, Director, Credit Advisory Service at Mercator Advisory Group

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