- Factors affecting the amount of unsecured loans Whether it is an unsecured loan applicant or a practitioner, there is often such confusion: the amount of approval is often far from what you expected. In fact, for a formal credit lending institution, any application has strict auditing standards and flow...
- Factors affecting the amount of unsecured loans When we apply for unsecured loans, we often encounter such a phenomenon, and the amount of approval is often far from our expectations. Without lending, individuals can't accurately predict the amount of unsecured loans, then affect the approval of unsecured credit loans...
- Factors affecting the amount of unsecured loans When we apply for unsecured loans, we often encounter such a phenomenon, and the amount of approval is often far from our expectations. This is mainly because for formal credit lenders, the auditing standards and procedures for unsecured loans are quite strict...
- Six potential factors affecting unsecured loan quotas What is the amount of unsecured loan? Personal monthly income is about 10 times. I think this is the standard answer in the industry, and there is absolutely nothing else. If you leave this layer of replies and ask how much you can borrow, I am afraid that the loan officer will tell you with deep feelings: you need to be based on your...
- What are the factors that affect the approval of unsecured credit loans? Whether it is an unsecured loan applicant or a practitioner, there is often such confusion: the amount of approval is often far from what you expected. In fact, for a formal credit lending institution, any application has strict auditing standards and...
8 factors affecting the amount of unsecured loans
In the world of unsecured loans, loan quotas have always been a matter of great concern. "I want to borrow XX million, how much can I borrow? Can I approve it?" Such a cannon-like question often pushes the loan officer to the corner. “We need a comprehensive assessment based on your personal qualifications.” Loan officers usually give a rational answer.
In fact, for the loan quota, no one can make a decision on the head, but based on the individual qualifications of the borrower, the results of the comprehensive evaluation are compared. So it is not difficult to understand: in the end, accurately predicting the final approval results is beyond the reach of anyone. Then the question comes, what factors affect the unsecured loan approval quota? This article tells you about both hardware and software:
Hardware conditions include personal income, unit nature, and liability, which will directly determine the level of your loan line.
1. Personal income: Due to the repayment ability, the loan amount will be closely linked with income, often about 10 times of monthly income. In line with this iron law, high-income earners are often able to write the outcome of large loans.
2. Liabilities: Liabilities are mainly reflected in credit reports, including credit card, bank loans and other debts with formal financial institutions. Similarly, from the consideration of repayment ability, financial institutions generally stipulate that the sum of new and old monthly payments should not exceed 50% of monthly income. Based on this, this will affect the loan quota of “negative second generation” to a certain extent.
3. Nature of work: To a certain extent, the difference in the nature of the unit makes the stability of the employees' work stable. Compared with wage earners, employees of state-owned enterprises and institutions will be relatively fragrant. Due to stable work and stable repayment ability, the loan quota will be higher, often more than ten times the monthly income. By the same token, management is more lucrative than ordinary employees' “loans” and can earn a higher multiple of monthly income. Conversely, since sales are a highly mobile occupation and income stability is poor, the loan quota cannot be expected to take advantage of the nature of work, and can only rely on the absolute “main force” of income to obtain large loans.
4. Form of income display: Although both the bank and the self-storing water, the private lending institutions basically receive all the receipts, but there will be a steel scale in their hearts, the income display form is different, and the loan amount will not be weighed. same. It is conceivable that the advantages of the bank flow through the bank's wages are significantly stronger than others.
With hardware not representing the final result, the software occupies a second most important position, affecting the loan amount to a certain extent:
5. Marital status: Although the applicant is not required to be married, experience has proved that married people and spouses support loans, which will be more popular in terms of quota. After all, this stimulates the imagination of financial institutions. Once the debtor is unable to repay, one party has Difficult, spouse support is a matter of course. Therefore, under the same conditions, married people have more life-saving straw than unmarried people, and the loan funds are naturally more.
6. Family support level: It is not necessary to obtain the consent of the family member to apply for an unsecured loan, but if there is strong support from the family, the result will be very different.
7. Location of the household registration: If the borrower's household registration and work are in the local application area, in the risk awareness of the financial institution, it will unconsciously give him a “hard hat”, considering that the cost of default is large, run The road probability is small, so the amount of loans approved by financial institutions to them is relatively high.
8. Education: Due to the high level of education, the highly educated people know the value of personal credit, and use actual actions to protect their personal credits. As much as possible, they can repay their loans in full and on time, creating intangible wealth. Most people will regard personal credit as dispensable, and naturally they will not pay much attention to the consequences of default, and the probability of default will be relatively larger.
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