The second is financing. Financing business mainly includes peer-to-peer lending and crowdfunding, and some are also called debt crowdfunding and equity crowdfunding. Peer-to-peer lending is divided into two forms. One is peer-to-peer P2P lending, which provides matching services for natural persons with investment and financing needs through the Internet platform. The other is internet microfinance, which is the internetization of traditional offline microfinance companies and expands customer resources through the Internet. The emergence of P2P platform meets the financing needs of individuals and small and micro enterprises. Since the middle of 20 13, the P2P market has expanded rapidly due to the low entry threshold, but the risk control of some platforms is not in place. In the second half of 20 15, supervision was tightened, some capital withdrew from the P2P field, and the remaining P2P enterprises continued to explore their own positioning. Some platforms began to try to apply financial technology for technological innovation. Crowdfunding generally refers to the activities that enterprises, individuals or other subjects raise funds from the public through the Internet platform for themselves, products, projects, services or public welfare undertakings. After the general financing is successful, the equity, products or services of the enterprise will be taken as the consideration of financing. Domestic equity crowdfunding has developed rapidly, but the overall amount is still very small. In the long run, solving the problem of "difficult, expensive and slow financing", transforming huge savings into investment and reducing social leverage depends on the development of equity financing, and cannot continue to rely on traditional debt channels such as banks and bond markets. To develop equity financing, we should not only continue to develop the current formal markets such as the main board and the New Third Board, but also develop multi-level capital markets including crowdfunding in the long run.
The third is investment management, including robot (intelligent) investment consultants. With the help of computer and quantitative trading technology, the robot investment consulting platform provides tailor-made portfolio suggestions for customers who have been evaluated by questionnaires. Traditional investment consultants need high-quality financial consultants to complete, and the labor cost is expensive, which is generally only provided to high-net-worth people. The robot investment consultant helps investors with asset allocation and management with the least manual intervention, which saves costs and lowers the service threshold. Ordinary investors can get services by paying a small fee. In addition, intelligent investment consultants optimize the investment consultant model based on algorithms and big data, which can avoid the irrational factors of manual investment consultants and has a broad market base and development space.
The fourth is the credit information category. The traditional sources of credit data mainly come from banks, governments, industrial and commercial enterprises and so on. Generally, it is customer information directly related to credit, including assets, loans and repayments, default records, etc. With the development of the Internet, various behavioral data are recorded, and unstructured data such as social, e-commerce and search provide richer content for the credit model.
The rapid development of financial technology has affected every individual and institution involved, and some Fintech companies have gradually grown up, impacting existing financial institutions. These shocks force financial institutions to adjust their business strategies and may bring about changes in the competitive landscape. But financial technology is not only a threat to financial institutions, but also a broader market.