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Regulators Choke Off Good Loans in Zeal to Prevent Bad Ones

FEB 6, 2013 9:00am ET
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From a policy perspective, achieving a sensible balance between the two errors should be a clear objective of any underwriting bright-line standard.  We may have missed the opportunity to apply such an approach to QM's debt-to-income test, but the QRM loan-to-value threshold could be set while comparing the costs of both Type 1 and Type 2 errors.  Figuring the costs from Type 2 errors is somewhat easier since it entails determining the credit losses under differential LTV rules.  The trickier part of the exercise would be in computing the economic and social costs of any Type 1 errors under different LTV thresholds, but economists are well equipped to make such estimates.  Once the costs associated with both error types are quantified along LTV scenarios, regulators could then determine at what LTV threshold the costs of both errors are minimized. 

Certainly there is an element of judgment even in this process. But standards that fail to balance the costs of both types of policy errors lead to suboptimal policy.

Clifford V. Rossi is the Executive-in-Residence and Tyser Teaching Fellow at the Robert H. Smith School of Business at the University of Maryland. 

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Comments (2)
Mr. Rossi hit the nail on the head. Very well written and factual. He mentions in his article the 3 C's ( credit, capacity and collateral)What we are missing is the 4th C, COMMON SENSE, which doesn't seemed to exist anymore.
Posted by mtgbk48 | Thursday, February 07 2013 at 2:38PM ET
Very interesting observations. Having tackled the issue of incorporating Type I and Type II errors in the cut off definition of a hybrid decision model (socrecard and CPRs) I can confirm that it is state of the art to include these parameters on the way that you expand you business. NIM, LGD ratios and key statistics of the scoring models should be combined per product line (credit cards, consumer and mortgage loans).
Posted by kalpouzanis.v | Tuesday, March 05 2013 at 8:21AM ET
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