Auction loans have no overdue impact on buying a house.

If the loan is not overdue, it will not affect the purchase. However, if the debt is too high, the bank may ask for early repayment, so before applying for a mortgage, you should not only ensure that you have a good credit report, but also control the debt ratio within a certain range. At the same time, you can do the corresponding pre-loan consultation before buying a house, which can not only improve the loan approval rate, but also avoid repeated trips to the bank.

First, the faster loan did not affect the purchase beyond the time limit.

Normal repayment will not be affected. If the debt is too high, the bank should ask for early settlement before applying for a mortgage! Loans and credit cards are not overdue, although they will not affect personal credit, but as long as they are not paid off, they belong to personal liabilities. Applying for a mortgage on the premise of existing liabilities will certainly be affected.

Second, pat on the loan

Is a financial technology company, established in Shanghai in 2007, and successfully listed on the NYSE on 20 17 1 10. As of 2065438+June 30, 2009, the cumulative registered users of auction loans reached 99.02 million. The cumulative number of borrowers is 6,543,800+0,340; Investment users totaled 644,400, achieving sustained growth; Compared with the same period of 20 18, the refinancing rate increased by 2.4% to 69.8%. As the first governing unit of China Internet Finance Association, the company puts legal compliance in the first place, follows the essence of finance, takes data as the cornerstone, provides financial services to users with innovative technology, and continuously invests in financial technology and smart finance.

To sum up, it is a financial technology company, which was established in Shanghai in 2007 and successfully listed on the New York Stock Exchange on 201710. As of June 30, 20 19, the cumulative registered users of the auction loan reached 99.02 million, and the auction loan will also be analyzed by big data.