The technologies involved in financial technology have the characteristics of fast iteration, cross-border and mixed operation, and are the superposition and fusion of cutting-edge disruptive technologies such as big data, artificial intelligence and blockchain technology with traditional financial services and scenarios. It mainly includes four core parts: big data finance, artificial intelligence finance, blockchain finance and quantitative finance.
artificial intelligence finance mainly uses artificial intelligence technology to deal with financial problems, including stock price forecasting, evaluating consumer behavior and willingness to pay, credit scoring, intelligent investment and chat robots, underwriting and claims settlement in the insurance industry, risk management and stress testing, financial supervision and identification monitoring, etc.
artificial intelligence technology mainly includes cutting-edge computer science knowledge such as machine learning theory, which is mainly based on algorithms. Machine learning theory is a subset of artificial intelligence, which mainly covers three theories: supervised learning, unsupervised learning and reinforcement learning.
blockchain technology is a decentralized big data system, a public ledger of all valuable things in the digital world, and a concrete application of distributed cloud computing network. Once the blockchain technology becomes the underlying organizational structure of the Internet in the future, it will directly change the governance mechanism of the Internet, and ultimately completely subvert the existing underlying protocols, leading to the intelligentization and decentralization of Internet finance, and generating a new financial format based on algorithm driving. Once the mature blockchain technology reaches the financial industry and forms an ecological business closed loop, financial transactions may have a financial trading environment close to zero cost.
It should be noted, however, that due to technical limitations and security problems such as * * * knowledge mechanism, private key management and smart contract, the integration and application of blockchain technology will be a long-term process.
quantitative finance focuses on financial engineering, financial mathematics, financial measurement and financial statistics. The biggest difference between quantitative finance and traditional finance is that it always emphasizes the use of mathematical means and statistical knowledge to carry out its work quantitatively rather than qualitatively. Its main financial scenarios include high-frequency trading, algorithmic trading, financial derivatives pricing and financial risk management based on mathematical perspective.