Quantitative investment is to find all kinds of "high probability" strategies that can bring excess returns from massive historical data by means of modern statistics and mathematics, and to guide investment in strict accordance with the quantitative model constructed by these strategies, so as to obtain stable and sustainable excess returns.
Quantitative investment is to judge the investment ideas and strategies for investors according to the future market trend through the design of specific indicators and parameters, and then summarize the factors that affect the rise and fall of the stock market, establish a model, and take this model to the current market for testing. If this model can accurately reflect the trend and ensure that it will bring excellent returns to investors, then this model is worth using by investors. Compared with traditional investment methods, quantitative investment has four characteristics: high efficiency, objectivity, rationality, balance between income and risk, and balance between individual stocks and portfolios. It is precisely because each link must have different methods and quantitative models to ensure the reliability of operation, so the technology also covers almost the whole investment process, from valuation and stock selection, asset allocation to programmatic trading, performance evaluation and so on. And the requirements for operators are relatively high.
Quantitative investment itself and the development of the whole investment industry have gradually produced a * * * shock. Quantitative investment has been developed overseas for more than 30 years, with stable investment performance and expanding market scale and share, which has been recognized by more and more investors. As a concept, quantitative investment is not new, and domestic investors have heard about it for a long time. At present, it is very mature to take the listing of 20 10 stock index futures as an opportunity.
Quanbang technology regularizes and models people's investment ideas, draws investment conclusions according to financial data, and chooses computers to execute transactions. When the means originally used in natural science research are applied to investment practice, investment science comes into being. For example, Alpha Investment, which appeared in 1980s, is a quantitative investment with multi-factor model as the main tool. By analyzing the driving factors of stock price, we can allocate the weight reasonably and make a favorable investment portfolio.
Hedge fund
Hedge fund, also known as hedge fund or arbitrage fund, refers to a financial fund that combines financial derivatives such as financial futures and financial options with financial institutions and obtains profits by means of high-risk speculation. It is a form of investment fund, which belongs to exempt market products.
Hedge funds use various trading methods to hedge, transpose, hedge and hedge to make huge profits. These concepts have gone beyond the traditional operation scope of preventing risks and ensuring benefits. In addition, the legal threshold for launching and establishing hedge funds is much lower than that of mutual funds, which further increases their risks.
With the passage of time, in the financial market, some fund organizations use financial derivatives to adopt various profit-oriented investment strategies. These fund organizations are called hedge funds. Hedge funds have long lost the connotation of risk hedging. On the contrary, it is generally believed that hedge funds are actually based on the latest investment theory and extremely complex financial market operation skills, making full use of the leverage of various financial derivatives to undertake high risks and pursue high returns.
abstract
It can also be seen from overseas experience that quantitative hedging, CTA strategy and quantitative multi-strategy products can still get good returns in the market decline. Quantitative hedging products tend to be market neutral, which can realize hedging risk and gain income in the decline of A-share market.