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Credit risk

From Wikipedia, the free encyclopedia

Credit risk is the risk of loss due to a debtor's non-payment of a loan or other line of credit (either the principal or interest (coupon) or both).

Contents

[edit] Faced by lenders to consumers

Main article: Consumer Credit Risk

Most lenders employ their own models (Credit Scorecards) to rank potential and existing customers according to risk, and then apply appropriate strategies. With products such as unsecured personal loans or mortgages, lenders charge a higher price for higher risk customers and vice versa. With revolving products such as credit cards and overdrafts, risk is controlled through careful setting of credit limits. Some products also require security, most commonly in the form of property.

Historically, lender credit models have used a technique called "credit scoring." Credit scoring typically is based on a data base built using the last observation on those former clients who defaulted on their loans plus the most recent observations on a large number of clients who defaulted. Statistically, estimation techniques called logit or probit are used to predict the probability of default of new clients based on this historical data base. The default probabilities are then scaled to a "credit score." This score ranks clients by riskiness without explicitly identifying their probability of default.

Credit scoring is being replaced gradually by a technique called by various names: hazard rate modeling, reduced form credit models, or logistic regression. Duffy and Singleton (2003), Lando(2004), van Deventer, Imai, and Mesler (2004), and Jarrow, van Deventer, Mesler and Li (2006) discuss this modeling approach in detail. The primary differences from credit scoring involve both the data base and the ability to calculate the financial value of a loan, given its riskiness from a credit perspective. The data base includes all of the available observations on both defaulted and non-defaulted clients. This makes it much easier to see the effects of macro-economic factors like stock prices, auto prices, interest rates, and home values on the default rates of retail loans secured by automobiles or homes.

[edit] Faced by lenders to business

Lenders will trade off the cost/benefits of a loan according to its risks and the interest charged. But interest rates are not the only method to compensate for risk. Protective covenants are written into loan agreements that allow the lender some controls. These covenants may:

  • limit the borrower's ability to weaken his balance sheet voluntarily e.g., by buying back shares, or paying dividends, or borrowing further.
  • allow for monitoring the debt by requiring audits, and monthly reports
  • allow the lender to decide when he can recall the loan based on specific events or when financial ratios like debt/equity, or interest coverage deteriorate.

A recent innovation to protect lenders and bond holders from the danger of default are credit derivatives, most commonly in the form of a credit default swap. These financial contracts allow companies to buy protection against defaults from a third party, the protection seller. The protection seller receives a periodic fee (the credit spread) as compensation for the risk it takes, and in return it agrees to buy the debt should a credit event ("default") occur.

[edit] Faced by business

Companies carry credit risk when, for example, they do not demand up-front cash payment for products or services.[1] By delivering the product or service first and billing the customer later - if it's a business customer the terms may be quoted as net 30 - the company is carrying a risk between the delivery and payment.

Significant resources and sophisticated programs are used to analyze and manage risk. Some companies run a credit risk department whose job is to assess the financial health of their customers, and extend credit (or not) accordingly. They may use in house programs to advise on avoiding, reducing and transferring risk. They also use third party provided intelligence. Companies like Moody's and Dun and Bradstreet provide such information for a fee.

For example, a distributor selling its products to a troubled retailer may attempt to lessen credit risk by tightening payment terms to "net 15", or by actually selling fewer products on credit to the retailer, or even cutting off credit entirely, and demanding payment in advance. Such strategies impact on sales volume but reduce exposure to credit risk and subsequent payment defaults.

Credit risk is not really manageable for very small companies (i.e., those with only one or two customers). This makes these companies very vulnerable to defaults, or even payment delays by their customers.

The use of a collection agency is not really a tool to manage credit risk; rather, it is an extreme measure closer to a write down in that the creditor expects a below-agreed return after the collection agency takes its share (if it is able to get anything at all).

[edit] References

  1. ^ Principles for the management of credit risk from the Bank for International Settlement
  • Duffie, Darrell and Kenneth J. Singleton (2003). Credit Risk: Pricing, Measurement, and Management. Princeton University Press. 
  • Jarrow, Robert, Donald R. van Deventer, Li Li, and Mark Mesler (2006). Kamakura Risk Information Services Technical Guide, Version 4.1. Kamakura Corporation. 
  • Lando, David (2004). Credit Risk Modeling: Theory and Applications. Princeton University Press. ISBN13 978-0691089294. 
  • van Deventer, Donald R., Kenji Imai and Mark Mesler (2004). Advanced Financial Risk Management: Tools & Techniques for Integrated Credit Risk and Interest Rate Risk Modeling. John Wiley. ISBN13 978-0470821268. 

[edit] See also

[edit] External links

Notes on credit risk and banks' concentration risk can be downloaded from nalin.ca: (1) Credit Risk; (2) Concentration risk

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