5. Deep learning in the financial industry
5.1. The characteristics of financial big data determine the inevitability of introducing artificial intelligence technology
The data characteristics of the financial market are mainly reflected in two points: First, massive data. The second is the data dimension. Artificial intelligence is an inevitable choice to solve data bottlenecks.
The artificial intelligence market is huge and at a turning point. Kearney Consulting expects that by 2020, the penetration rate of smart financial management will increase to about 6%, and the assets under management will reach 2 trillion US dollars (compared with a compound annual growth rate of about 70% in 2015-2020). According to Citibank's latest research report, the assets managed by artificial intelligence investment consultants were basically zero in 2012, and by the end of 2014 had reached $14 billion. In the next 10 years, the property it manages will also show an exponential growth momentum, totaling $5 trillion.
There is a significant difference between artificial intelligence investment and traditional quantitative transactions. Different from programmatic transactions and quantitative transactions, the securities investment artificial intelligence robot constructs a learning mechanism and a knowledge base built on it, which can learn, reason and make decisions autonomously. At present, the investment in artificial intelligence that has been put into practical use can replace most of the investment analysis work that was carried out by human resources in the past. The independent “production†investment strategy can easily monitor thousands of stocks at the same time and automatically autonomously according to various market conditions. Make a sale and purchase transaction.
5.2. Excellent performance of artificial intelligence investment funds
The first artificial intelligence-driven fund, Rebellion, predicted a stock market crash in 2008 and rated the Greek bond F in September 2009, when Fitch's rating was still A. Through artificial intelligence, Rebellion was one month ahead of the official downgrade. Cerebellum, the $90 billion hedge fund, also used artificial intelligence technology, and since 2009, almost a month has been a loss. Since 2012, due to the maturity of big data technology, artificial intelligence technology with machine learning as the core has been recognized and developed rapidly in the field of securities investment, including Renaissancetechnologies, AIDIYIA, CerebellumCapital, Cmmeq, Castilium, Binatix, Sinai, KFLCapital and many other global famous. Asset management companies began to use artificial intelligence technology to invest in securities.
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