Default Probability
Default Probability
The default probability is a statistical measure that estimates the probability of a borrower defaulting on a loan. It is used in credit scoring models to assess the credit worthiness of an applicant.
Calculation:
The default probability is calculated using historical data on loan defaults. It is typically calculated as the number of defaults in a particular group of borrowers, divided by the total number of borrowers in that group.
Factors Affecting Default Probability:
- Credit history: Past credit behavior, such as payment history, debt-to-income ratio, and credit utilization ratio, can affect a borrower’s default probability.
- Employment status: Stable employment with a good income history can reduce the risk of default.
- Assets and liabilities: The borrower’s asset and liability portfolio, including home equity, savings, and debt, can influence their default probability.
- Loan characteristics: Factors such as loan amount, interest rate, and loan term can affect the default probability.
Uses:
- Credit scoring: Default probability is used in credit scoring models to calculate a borrower’s credit score.
- Loan underwriting: Lenders use default probability to assess the risk of loan defaults and determine interest rates.
- Risk management: Companies use default probability to manage credit risk and make investment decisions.
Example:
A borrower with a credit score of 750, a stable job, and a low debt-to-income ratio may have a default probability of 2%. This means that the borrower is considered low-risk and is less likely to default on a loan.
Note:
Default probability is a statistical estimate and can vary between borrowers with similar credit histories. It is not a definitive measure of default risk, but it is a useful tool for credit scoring and risk management.
