Boshijijin Gui Zhenghui detailed quantitative investment in stock – fund channel strategy-dataload

Boshijijin Gui Zhenghui: detailed quantitative investment in stock – fund channel strategy since 2016, the Shanghai and Shenzhen two cities continue fluctuated trend, the market risk appetite decreased significantly, as of September 1, 2016, Shanghai -13.45%, Shenzhen -15.76%, gem refers to -19.63%. Shock is the test of stock selection ability of period of time, in this regard, Bo card gold big data 100 index fund manager Gui Zhenghui said that big data fund with the fund company perfect investment operation process, fine management and risk management ability, large data information and method is an effective means in portfolio management. Is a good stock picking ability. 1 compared to the traditional qualitative investment, what are the advantages of quantitative investment? Gui Zhenghui: quantitative investment in computer science, modern statistics and mathematical model based on the idea of investment, the model test verification using the historical data from an investment method in optimization model to guide investment decision. Quantitative investment with the aid of the computer technology, the extension of human thinking and ability, can establish asset allocation, industry selection, stock selection multi-level investment system, to analyze and select investment targets from the macro cycle, market sentiment, valuation and other multi angle. Compared to the traditional qualitative investment, I think the advantages of quantitative investment is as follows: the greater the width of the investment. With the help of computer technology, the investors can deal with the massive data quickly and accurately, and choose the investment objects from a larger scope. The object of quantitative investment usually includes commodities, futures, foreign exchange, stocks, bonds and other investment products almost all the market. A more scientific approach to investing. Quantitative investors use mathematical methods and statistical knowledge, the different understanding of the market investors to construct different investment model, the models are verified repeatedly, finally able to obtain investment income obtained by the model of massive data. More stringent trading discipline, quantitative investment requires investors to strictly follow the model to perform the operation, to avoid the impact of personal emotional fluctuations on investment decisions, to overcome the weaknesses of human nature. But note that quantitative investment is not "money" investment, it is more emphasis on statistical significance on income, mainly from two points: one is to choose the "probability of money" model, one is the choice of the "big money" model. That is, if an investment model can get a small amount of income each time, long-term accumulation, is a stable income. If the probability of an investment model is less than 50%, but the average profit per share is greater than the amount of loss, long-term accumulation, but also a good return. 2 how do you think of the big data fund volatility market outperform the phenomenon? Gui Zhenghui: This is an overall decline in the market, the stock market is relatively resilient, reflected in the index is represented in the small cap of the CSI 500 index represents the market than the CSI 300 index fell more than 5%. Big data fund significantly outperformed the market index of this phenomenon, the big data information and method is an effective means in portfolio management, is a good stock picking ability. Meanwhile, the big data fund combines the fund.相关的主题文章: