Big Data Funds Are In A Rush, But Yields Are Not As Good As Expected.

At the end of last year, GF launched the first big data fund in the market, and big data funds poured in. Big data investment has become the focus of many fund companies.

At present, 8 big data funds are in operation. In addition, 9 fund companies have declared 12 funds with "big data" in their names.

Big data fund tracking database is also a hundred flowers bloom, both active investment type, there are passive investment type.

How to choose big data funds? What is the benefit of big data funds? This article will give a detailed introduction.

All kinds of big data bloom

Industry quantitative investment experts say that through big data mining, we can more accurately estimate macroeconomic, industry prosperity, the fundamentals of listed companies, and even some frontier behavioral finance fields can also quantify data, which is a useful supplement to traditional investment.

In the second half of this year, the speed of big data index has been significantly accelerated. Since July, the CSI electricity supplier big data index, three big league data index, the CSI snowball smart big data 100 index, the CSI housing world big data index have been released.

On November 13th, the China Securities Index Co announced that it will officially release the China Internet certification index, the 100 index of China Securities big data and the 188 index of China Securities big data in December 7th.

The three indexes were developed by Guang Fa, Bo Shi and Jianxin fund management company respectively.

Harvest Fund recently launched Tencent harvest stock big data strategy stocks big data

The data are derived from the "Tencent financial and Tencent self selection behavior on about 50000000 users" and "merge 50 million people's stock picking wisdom".

According to the data, there are no obvious advantages in the existence of 8 big data products.

8 products are divided into active and passive products.

5 big data funds managed passively, only 300 of the big data 100 in the South and 300 in the big data in the South have won the Shanghai and Shenzhen 300 index and the CSI 500 index in the same period, and the remaining 3 funds have all lost the same Shanghai and Shenzhen 300 and CSI 500 index in the same period.

The 3 active management big data funds are Tianhong cloud life, Dongfang Hongda data flexible configuration and GFA Bai FA big data strategy flexible allocation fund.

In the 3 fund, only the life of Tianhong cloud has been set up for 3 months, and the net value of the remaining two has not yet fluctuated significantly.

And since its establishment

To look at, 5 only the data can be detected passive large data fund differentiation is more obvious.

According to earlier statistics, as at October 19th, the yield of the CTM fund and Baidu 100 FA fund was 79.5% and 49.2% respectively, while the yield of big data 100, big data 300 and big gold data 100 were -4.29%, -4.39% and -16.43% respectively.

How to choose big data funds?

As for how to choose big data funds, Miss Li gives two suggestions:

The first is to select models with massive data.

The biggest feature of big data is massive data. At present, the data of individual big data product tracking model are too few, so it is very easy to distort, and investors should try to avoid it.

In addition, the opportunities of the market are changing rapidly. The stock pool of big data should be adjusted quickly. If the stock pool is not adjusted once a month, it should also be avoided.

The two is to choose passive products.

Because of too much data, manual screening is basically impossible, and artificial operation is rather self defeating. From the international example, the performance of completely passive products running in a longer time period is better than that of active type.

Information on 11 20, the Yi Fang Da Fund announced that from that day, the quick redemption limit of the IMF increased from the official website of the company to the mobile client e wallet. The total redemption limit from a single fund account to 200 thousand increased to 1 million.

The quick redemption currently supports 13 mainstream bank cards, with the fastest cash in 1 minutes.

The selection of UBS national security fund is being issued. The fund is mainly invested in listed companies related to national security themes. Its stock positions are 0%~95%, flexible debt allocation and offensive and defensive policies.

Overall, the earnings of big data funds are not as good as expected. This is due to the principle of big data design. The data of big data are often the hottest companies in the market, and the reason why these popular companies can become popular is because they have been fully hyped before, and now they are concerned by big data. Most of them have come to the middle and late stages of the market, and the profits can be imagined. Two, there are advantages and disadvantages between big data tracking models. Some so-called big data are actually not big data in real sense. At present, the domestic stock investors have already reached 100 million, while big data are screened in hundreds of thousands or even tens of thousands of people. Data distortion is a big probability event.

However, miss CEO, a financial hunters, thinks that big data products are new things after all, and there is a perfect process. Overall, the performance of big data is difficult to catch up with index funds in unilateral market, but in the middle and upper reaches of partial stock products, it can serve as a target for investors to configure.