A Guide To Credit Risk Analysis Model

Credit risk modelling helps a bank determine the risk of default. It is critical to determine this risk in advance to prevent a loss of funds. Banks and other financial institutes use credit risk modelling for key lending decision-making whether to extend credit or not. It also determines the credit to be charged. Banks use new technologies and invest in human resources to make credit risk modelling quick and effective so that they can close more risk-free loans. Credit risk management tools generate accurate data to support decision-making.

Credit Risk

When a borrower fails to return the debt, this leads to credit risks. High credit risk not only disrupts cash flow but also increases collection costs as the bank may have to work with a collection agency. However, bearing credit risk also returns rewards in the form of the interest rate. If it is a high-risk loan, the bank will charge a high-interest rate. Similarly, a bank will charge a low-interest rate if the borrower has a good credit score and steady income. A high-risk borrower has to pay a high-interest rate.

Banks rely on credit risk not only to determine risk but also to determine whether to approve a loan application to reject it. There are three types of credit risks including credit default risk, concentration risk and country risk.

A borrower failing to pay off the debt obligation leads to credit default risk. The risk also occurs if the borrower is 90 days past the due date. Loans, securities, bonds, derivatives and other credit-sensitive financial transactions may be affected by the credit default risk.

Broader changes in the economy also have an influence on the levels of default credit risk. Recision and competition are the key factors that affect the borrower’s ability to pay interest and principal.

Sometimes, a single sector is exposed which causes concentration risk. There are some factors that can make the business suffer significant losses. These factors may even threaten the existence of the business. This may happen when the borrower produces only one type of product or offer only one type of service. There is a lack of diversification in the portfolio of the corporate borrower. The demand for that product/service may drop. Or, the supply of required raw material may be disrupted due to economic, political or policy reasons. Sometimes, a corporate borrower has only one consumer. When the only consumer goes out of business, the corporate borrower also suffers and may not be able to pay the loan.

The political instability between countries may affect business operations. Increased taxes on import/export or even disruption can have a significant negative effect on the business. When the revenue drops, the business may not be able to make debt payments due to such country risks.

The credit risk forecast should be accurate to ensure minimum risk. Credit risk modelling is affected by factors including the probability of default, loss given default and exposure at default. The probability of default reflects the borrower’s likelihood to default on its loan obligation. Probability of default is determined on the basis of the following two factors:

• Debt-to-income ratio
• Credit score

Lenders rely on credit rating agencies for POD. If the probability of default is low for a borrower, the interest rate and down payment will be low on the loan. The lender can manage credit risk with collateral against the loan. Loss given default is the amount of the lender’s loss when a borrower defaults. Exposure at default is the evaluation of the amount of loss the lender is exposed to.

Considering the importance of credit risk modelling, most lenders use specialized tools to determine risk accurately.

About This Author

Decipher Credit https://deciphercredit.com/ Information Technology and Services Joined: August 20th, 2020