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Address discrepancies aren't the end of the road, but they sure can be a bump in it. One of the handful of mandatory elements in the Red Flag guidelines, which focus on FACTA Sections 114 and 315, is the implementation of Section 315. Section 315 provides guidance regarding reasonable policies and procedures that a user of consumer reports must employ when a consumer reporting agency sends the user a notice of address discrepancy. A couple of common questions and answers to get us started: 1. How do the credit reporting agencies display an address discrepancy? Each credit reporting agency displays an “address discrepancy indicator,” which typically is simply a code in a specified field. Each credit reporting agency uses a different indicator. Experian, for example, supplies an indicator for each displayable address that denotes a match or mismatch to the address supplied upon inquiry. 2. How do I “form a reasonable belief” that a credit report relates to the consumer for whom it was requested? Following procedures that you have implemented as a part of your Customer Identification Program (CIP) under the USA PATRIOT Act can and should satisfy this requirement. You also may compare the credit report with information in your own records or information from a third-party source, or you may verify information in the credit report with the consumer directly. In my last posting, I discussed the value of a risk-based approach to Red Flag compliance. Foundational to that value is the ability to efficiently and effectively reconcile Red Flag conditions…including addressing discrepancies on a consumer credit report. Arguably, the biggest Red Flag problem we solve for our clients these days is in responding to identified and detected Red Flag conditions as part of their Identity Theft Prevention Program. There are many tools available that can detect Red Flag conditions. The best-in-class solutions, however, are those that not only detect these conditions, but allow for cost-effective and accurate reconciliation of high risk conditions. Remember, a Red Flag compliant program is one that identifies and detects high risk conditions, responds to the presence of those conditions, and is updated over time as risk and business processes change. A recent Experian analysis of records containing an address discrepancy on the credit profile showed that the vast majority of these could be positively reconciled (a.k.a. authenticated) via the use of alternate data sources and scores. Layer on top of a solid decisioning strategy using these elements, the use of consumer-facing knowledge-based authentication questions, and nearly all of that potential referral volume can be passed through automated checks without ever landing in a manual referral queue or call center. Now that address discrepancies can no longer be ignored, this approach can save your operations team from having to add headcount to respond to this initially detected condition.

Recently we conducted an informal survey, the results of which indicate that loan portfolio growth is still a major target for 2009. But, when asked what specific areas in the loan portfolio — or how loan pricing and profitability — will drive that growth, there was little in the way of specifics available. This lack of direction (better put, vision) is a big problem in credit risk management today. We have to remember that our loan portfolio is the biggest investment vehicle that we have as a financial institution. Yes; it is an investment. We choose not to invest in treasuries or fed funds — and to invest in loan balances instead — because loan balances provide a better return. We have to appropriately assess the risk in each individual credit relationship; but, when it comes down to the basics, when we choose to make a loan, it is our way of investing our depositors’ money and our capital in order to make a profit. When you compare lending practices of the past to that of well-tested investment techniques, we can see that we have done a poor job with our investment management. Remember the basics of investing, namely: diversification; management of risk; and review of performance. Your loan portfolio should be managed using these same basics. Your loan officers are pitching various investments based on your overall investment goals (credit policy, pricing structure, etc.). Your approval authority is the final review of these investment options. Ongoing monitoring is management of the ongoing risk involved with the loan itself. What is your vision for your portfolio? What type of diversification model do you have? What type of return is required to appropriately cover risk? Once you have determined your overall vision for the portfolio, you can begin to refine your lending strategy.

By: Tom Hannagan Part 2 In my last post, I started my review of the Uniform Bank Performance Reports for the two largest financial institution peer groups through the end of 2008. Now, lets look at the resutls relating to credit cost, loss allowance accounts and the impacts on earnings. Again, as you look at these results, I encourage you to consider the processes that your bank currently utilizes for credit risk modeling and financial risk management. Credit costs More loans, especially in an economic downturn, mean more credit risk. Credit costs were up tremendously. The Peer group 1 banks reported net loan losses of .89% of total loans. This is an increase from .28% in 2007, which was up from an average of 18 basis points on the portfolio in 2006/2005. The Peer group 2 banks reported net loan losses of .74%. This is also up substantially from 24 basis points in 2007 and an average of 15 basis points in 2006/2005. The net loan losses reported in the fourth quarter significantly boosted both groups’ year-end loss percentages above where they stood through the first three quarters last year. Loss allowance accounts Both groups also ramped up their reserve for future expected losses substantially. The year-end loss allowance account (ALLL) as a percent of total loans stood at 1.81% for the largest banks. This is an increase of almost 50% from an average of 1.21% in the years 2007/2004. Peer group 2 banks saw their reserve for losses go up to 1.57% from an average of 1.24% in the years 2007/2004. The combination of covering the increased net loan losses and also increasing the loss reserve balance required a huge provision expenses. So, loan balances were up even in the face of increased write-offs and expected forward losses. Impacts on earnings Obviously, we would expect this provisioning burden to negatively impact earnings. It did, greatly. Peer group 1 banks saw a decline in return on assets to a negative .07%. This is just below break-even as a group. The average net income percentage stood at .42% of average assets at the end of the third quarter. So, the washout in the fourth quarter reports took the group average to a net loss position for the year. The ROA was at .96% in 2007 and an average of 1.26% in 2006/2005. That is a 111% decline in ROA from 2007. Return on equity also went into the red, down from 11.97% in 2007. ROE stood at 14.36% in 2005. For the $1B to $3B banks, ROA stood at .35%. This is still a positive number, however, it is way down from 1.08% in 2007, 1.30% in 2006 and 1.33% in 2005. The decline in 2008 was 67% from 2007. ROE for the group was also down, at 4.11% from 12.37% in 2007. The drops in profitability were not entirely the result of credit losses, but this was by far the largest impact from 2007. The seriously beefed-up ALLL accounts would seem to indicate that, as a group, the banks expect further loan losses, at least through 2009. These numbers largely pre-dated the launch of the Troubled Asset Relief Program and the tier one funding it provided in 2008. But, it is clear that banks had not contracted lending for all of 2008, even in the face of mounting credit issues and a declining economic picture. It will be interesting to see how things unfold in the next several quarters.
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