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By: Tom Hannagan In my past postings, we’ve discussed financial risk management, the role of risk-based capital, measuring profitability based on risk characteristics and the need for risk-based loan pricing (credit risk modeling). I thought it might be worthwhile to take one step back and explain what we mean by the term “risk.” “Risk” means unpredictable variability. Reliable predictions of an outcome tend to reduce the risk associated with that outcome. Similarly, low levels of variability also tend to reduce risk. People who are “set in their ways” tend to lead less risky lives than the more adventuresome types. Insurance companies love the former and charge additional premiums to the latter. This is a terrific example of risk-based pricing. Financial services involve risk. Banks have many of the same operational risks as other non-financial businesses. They additionally have a lot of credit risk associated with lending money to individuals and businesses. Further, banks are highly leveraged, borrowing funds from depositors and other sources to support their lending activities. Because banks are both collecting interest income and incurring interest expense, they are subject to market, or interest rate, risk. Banks create credit policies and processes to help them manage credit risk. They try to limit the level of risk and predict how much they are incurring so they can reserve some funds to offset losses. To the extent that banks don’t do this well, they are acting like insurance companies without good actuarial support. It results in a practice called “adverse selection” – incorrectly pricing risk and gathering many of the worst (riskiest) customers. Sufficiently good credit risk management practices control and predict most of the bad outcomes most of the time, at least at portfolio levels. Bad outcomes (losses) that are not well-predicted, and therefore mitigated with sufficient loan-loss reserves, will negatively impact the bank’s earnings and capital position. If the losses are large enough, they can wipe out capital and result in the bank’s failure.

Part 2 Reason one Unfortunately, there is a management issue regarding their transparency with the investment community and/or client base. Regrettably for the managers and leaders choosing this approach, if this problem persists too long, the organization may choose to rectify with a change in the management and leadership Reason two The solution is both simple and complex. In simplistic terms, the financial institution must evolve its portfolio risk management reduction techniques and take a more proactive stance. Both internal and external data exists that can provide significant insight to the portfolio, its trends and potential future loss. Such data sources include: Internal behavioral characteristics (negative changes outside of just delinquencies) High line usage Non sufficient funds frequency & severity (for those borrowers who also have a deposit account with the institution) Deposit account closuresExternal data Regular rescore of the borrowers (both small business and consumer) Derogatory payment trends with other creditors (the borrower may be current with you but for how long?) Judgments or liens Such data can be used to create models for portfolio performance calculating: Delinquency trends by score (as the portfolio trends up or down in the score ranges we can adjust the expected loss rates, delinquency rates, etc.) Within score ranges and based upon other behavioral characteristics, what is the likelihood for charge-off or recovery. The biggest takeaway is that these portfolio management techniques are not new and untested. Your data provider (such as Experian), has used these techniques and has the data to support the effectiveness. While we are in trouble, we may find ourselves wanting to keep the “dirty secrets” to ourselves. Too often such an approach leads to one’s demise. Seek information, seek help, get control and truly start to move in a positive direction.

“Unprecedented times”, “financial crisis”, “credit crisis” and many other terms continue to be buzzwords that we hear every day. We are almost becoming desensitized to the terms, yet we feel the impact on a daily basis. Everyone is waiting for some positive news in the financial services industry and more bad news keeps coming. Each quarter we continue to read about financial institutions claiming that the worst is over. They have recognized the risk in their portfolios through risk assessment, set aside adequate reserves or loan loss allowances and are now ready to turn the corner. Yet we continue to read about these same institutions coming back with more bad news, more credit losses and a restatement of the assurance that the problems have been recognized. As a result, this financial risk management has brought to light all of the high-risk accounts and the trend will begin to change. Why does this story keep repeating itself? Reason one Management assesses to what extent the market (both stock market and the client base) will tolerate the level or degree of bad news, recognize losses to that extent and will then work hard to try to correct any known issues before we actually have to report the next quarter. Unfortunately, this approach simply delays the inevitable and brings into question the risk management practices of the particular institution. Like the boy who cried wolf, the more times you make a statement and it proves to be false, the less likely you will be believed the next time. Reason two The financial institutions are actually surprised each quarter with a new batch of credit losses. The institution, its credit management team and workout areas are diligently trying to address the current problem. But, just when they start to see the light at the end of the tunnel, a new batch of credit problems arise. For the most part, the credit issues still persist in the high-volume, low-dollar credits such as residential mortgages, home equity loans, automobiles, credit cards and small business loans. Due to the sheer volume of clients/loans, it becomes more difficult to assess what issues may be brewing in the portfolio. For the large volume, small dollar portfolios, the notion of a pending credit issue comes when the delinquency starts to rise to a delinquency of 60 or 90 days. The real issue is identifying those accounts that are likely to go 60 or 90 days past due and then assess the likelihood that they will go into charge-off. Regardless of the reason, we have a “credibility” problem in addition to a “credit” problem.
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