How to invest in big data funds_Data Analyst Exam

Since last year, big data funds have been established. In operation for nearly a year, how are the characteristics embodied in these big data funds? Suitable for what kind of investors? How to invest to maximize returns?

Various styles

There are currently four big data funds operating in the market, namely the CSI Tengan Value 100 Index, the CSI Baidu Baidu Strategy 100 Index, the CSI Amoy Gold Big Data 100 Index and the Big Data series of strategy indexes (i100 and i300). four tracking the above indexes of the fund are the Boshi CSI Amoy Gold Big Data 100, the Galaxy CSI Tengan Index, Guangfa Baidu 100 and Southern Big Data 100.

Specifically, from the perspective of the four index funds, the styles are very different while there are also similarities.

Guangfa Baifa 100 tracks the Baifa 100 Index. The index uses big data from Baidu's financial searches and user behavior to compile a stock market index by automatically analyzing, merging, counting and calculating data involving specific financial entities and introducing quantitative investment models through corresponding data mining and analysis tools.

Southern Sina Big Data i100 is more similar to the GF CSI 100, which features Sina Finance's Internet financial big data application, based on massive big data from financial news media and social platforms. In terms of stock selection strategy, the i100 index integrates three major factors: financial, market-driven and big data.

Bosch CSI Amoy 100, from the compilation program, to the e-commerce commodity category related to the CSI three-level industry all stocks as the sample space, from which according to the integrated financial factor, market-driven factor, poly source e-commerce big data factor to select the highest comprehensive score of the sample stocks, and use equal weight calculation. The source of data is the actual transactions of Alipay, which contains the boom level data of the industry such as price, sales volume and popularity. The stocks in the sample space are ranked in descending order according to their composite scores calculated by the Composite Financial Factor, Composite Market Factor and Taobao Big Data Factor, and the top 100 stocks are selected as the constituents of the CSI Taojin Big Data 100 Index.

Galaxy fixed investment treasure CSI Tengan value 100 prefer undervalued listed companies: the index is based on the degree of pricing deviation in order, supported by a number of financial indicators such as quality and price ratios, company qualifications, per-share scores, and so on, and selects a sample of 100 listed companies with relatively undervalued market prices. The index sample mainly focuses on three CSI Level 1 sectors, namely Industrials, Consumer Discretionary and Pharmaceuticals & Healthcare, with 30, 23 and 14 stocks in the sample respectively, with a combined weighting of 67%. Information Technology, Raw Materials, Finance & Real Estate, Consumer Discretionary, Telecommunications, and Energy & Utilities are ranked 4th to 10th in descending order.

High beta is good for swing operations

From the trend of these big data indexes, it is more characteristic of high beta products.

Since this year, Amoy gold 100 rose 86.37%, CSI Tengan value 100 rose 64.01%, Baidu 100 rose 51.65%, Sina big data i100 rose 82.37%. During the same period, the Shanghai Composite Index rose 25.83% so far this year, CSI 300 rose 18.18%, the GEM index rose 96.89%.

Since the stock market crash that occurred in June, CSI 300 from the highest point to the lowest point in recent times fell 34%, the SSE index fell less than 35%, the GEM index fell 51%. Over the same period, the Amoy Gold 100 fell 46 percent, the CSI Tengan Value 100 fell 44 percent, the Baidu 100 index fell 49 percent, and the Sina Big Data i100 fell 42.7 percent.

From the four big data fund or long or short historical performance can be found, big data funds relative to ordinary equity funds in the stock market performance in the net value fluctuations. A fund manager said, and mature markets are mainly composed of rational institutional investors compared to the A-share market is still dominated by retail investors, so the market is greatly influenced by investor sentiment, investor sentiment can be more reflected in the Internet big data, but the huge fluctuations in investment sentiment will also bring the Internet fund's high beta attribute, for which investors have to be psychologically prepared. From the current point of view, investors in the market low layout of this type of fund, waiting for the market heat to improve, is a better way.

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