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Research on the Application of Financial Big Data in Shenzhen
Time:2014-12-15
Shenzhen Commercial Daily News (Reporter Zhang Kun) Yesterday, the 6th (Autumn 2014) China Quantitative Investment International Summit ended at the Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences. As the forefront of the domestic quantitative investment field, the latest financial achievements such as big data and machine learning frequently appeared in the discussion, showing that the domestic quantitative investment level is rapidly in line with the international level.
In this quantitative investment event, big data has become the hottest keyword. The Chinese and foreign experts and elites at the meeting focused on the development of quantitative investment, and at the same time focused on the application of big data in the financial industry, and conducted in-depth discussions on the current development trend of international quantitative investment hedge funds and the development prospects of big data.
In order to promote the integration of big data and quantitative investment, the Shenzhen Institute of Advanced Technology of the Chinese Academy of Sciences and Shenzhen Guotai'an Information Technology Co., Ltd. jointly initiated the establishment of the Shenzhen Institute of Advanced Technology of the Chinese Academy of Sciences-Guotai'an Financial Big Data Research Center. Fan Jianping, President of Shenzhen Institute of advanced technology, Chinese Academy of Sciences, said in his speech at the inaugural meeting that big data is the key development direction of the Institute. At the same time, the financial field is a very dynamic and complex market. The application of big data technology to the financial field will be a new progress in Shenzhen's financial industry university research field. He believes that as a domestic financial frontier city, Shenzhen takes the lead in launching the production, education and research of financial big data, which will bring a very solid foundation for Shenzhen's financial industry in the future. Chen gangmeng, chairman of China Taian group and President of China Institute of quantitative investment, said at the meeting that one of the prerequisites for the prosperity of quantitative investment is that China's securities market should enter an era of vigorous development, or that the arrival of the bull market also provides an important basis for quantitative investment. Since the beginning of this year, the securities market has begun to warm up. If the market enters a long-term bull market in the future, it will provide the best market for China's quantitative investment.
In fact, the heads of many institutions present said that as more and more private equity and funds have adopted quantitative investment methods in the market in the past year or two, the acceptance of quantitative investment in China is also rapidly increasing. In the future, the scale of funds held by quantitative investment funds will further climb from the current scale of close to 100 billion to more than one trillion.
"China's securities market has been a single market for more than ten years. The width and breadth of a single A- share market cannot support the ecology of quantitative trading, but it is different now." Wang Jinyan, director of the Galaxy Securities Online Trading Center, said that the ecological changes in China's securities market have given quantitative trading a good soil. He said that in recent years, due to the increase in the thickness and breadth of our market, wealth management products, market maker system, the New Third Board, A- shares and Shanghai-Hong Kong Stock Connect, as well as ETFs, futures products, insurance products, Shanghai Stock Exchange stock index futures, Options, the enrichment of these product levels, the market has an ecology of quantitative trading.
Wang Jinyan said that in the past, people's understanding of quantitative trading was at most some programmed trading, automated orders, and some valuation, but valuation was only to help select some stocks. However, now with the massive growth of private equity funds, as well as various funds for market value management and asset management, large funds must rely on platforms such as quantitative trading, strategic trading and procedural trading to support them. there is a huge demand for fund companies, securities firms, private equity and asset management. Yang Bo, deputy general manager of the institutional research and development center of Guotai'an Information Technology Co., Ltd., believes that the emergence of big data in the future will increase the threshold for entering the hedge fund business. As big data technology becomes more professional, companies with stronger technical strength may monopolize more information, which will lead to a reshuffle of the industry, and companies that will master a lot of technology and information will slowly come out. If you want to obtain more information, you must invest more cost and technology to obtain a large amount of information. Doing this is not something one or two people can do, and it will raise the threshold of the industry.
Noun Explanation
Kuanke: The transliteration of English Quant, or financial engineer, is the foundation of modern financial markets-the creator of financial derivatives, and is known as the future star of Wall Street.
Kuanke is a physicist and mathematician who analyzes financial markets by mathematical models. In 1991, the International Institute of Financial Engineers was established and financial engineering was officially launched. Since financial engineering involves many fields such as corporate finance, foreign exchange trading, financial derivatives trading, etc., financial engineers are required to have the theory, knowledge and skills consistent with their financial engineering responsibilities.