The State Council recently released the Action Plan for Promoting Big Data Development (hereinafter referred to as the Plan), which promoted the development of big data to a national strategy, and the great value contained in big data will be further explored. As the leader of big data investment and research in China, Snowball 100 Index, the first domestic social investment big data index developed and customized by Tian Hong Fund, was officially released on September 15. From this day on, investors can query the index market through data terminals such as snowball. Com and Wind, to understand the specific points, ups and downs, time-sharing trends and other data.
The characteristics of snowball 100 index are the most concerned issues for investors. In this regard, Xiao Zhigang, general manager of the investment and research department of Tian Hong Fund, said that the snowball 100 index customized by Tian Hong Fund leads in three aspects. First, take the lead in introducing crowdsourcing thinking, screen the wisdom of a large number of experienced investors and turn their wisdom into a guiding and visual index; Second, make use of snowball's unique data resources to build the first big data index of social investment in China; Third, excluding other repetitive factors in the compilation is also the first pure big data index in China.
Xiao Zhigang also said that the reason why Tian Hong Fund chose to compile the Big Data Index with the data of Snowball was because it took a fancy to Snowball as a social investment platform and had a decentralized investment system. "Snowball has a large amount of data, and there must be many excellent investors and excellent ideas. If we can screen out these people in a certain way and concentrate these ideas, we will definitely outperform the market with great probability. Moreover, the simulation combination of snowballs can digitize investors' investment ideas, which is more intuitive and convenient to handle. So we thought of cooperating to develop such an index to mobilize the wisdom of the public. "Xiao Zhigang said that after the release of the Snowball 100 index, Tian Hong Fund will issue a fund to track the Snowball 100 index as soon as possible, and the products are currently under preparation.
When compiling the Snowball 100 index, Tian Hong Fund also broke the tradition and adopted an innovative model in order to provide investors with a simple, clear and effective tool.
Xiao Zhigang said that in the preparation process, the snowball users' recognition of stocks, users' research ability, investment ability and final combination were comprehensively considered, and comprehensive decisions were made. It is a strategy that simulates real investment decisions and reflects the overall situation of stock positions and positions increase and decrease of users with investment ability and research ability through layer-by-layer screening. To put it simply, for the compilation of Snowball 100, first screen out the big V recognized by users, then quantify their research ability and investment ability, and then comprehensively score their stocks to select a high-scoring combination.
First of all, among all registered users of Snowball, select the top 5% users as reference users; Among all self-selected combinations created by reference users, select the combination whose position has changed in the last month as the reference combination. From all the stocks covered by the reference portfolio, select at least 20 stocks held by reference users (as of the end of the month) as samples to be selected; Secondly, according to big V's comments, position adjustment and other data, quantify big V's research ability and investment ability. According to the relevant combination historical performance and online activity of the reference users covered by each sample to be selected (when the combination is created less than one year, the relevant historical performance score is zero), and the ability score of a single reference user about the sample to be selected is obtained. Calculate the position score and position adjustment score of a single sample to be selected (overweight is positive and underweight is negative), and get its comprehensive score by weighting. Select 100 samples with the highest comprehensive score as index sample stocks.
In addition, the constituent stocks of Snowball 100 index are adjusted once a month. In the latest issue of 100 constituent stocks, Shanghai Stock Exchange, Shenzhen Stock Exchange and Growth Enterprise Market accounted for 42%, 39% and 19% respectively, and the market value of positions accounted for 57.22%, 34.34% and 8.44% respectively, including Shanghai Pudong Development Bank, Minsheng Bank, China Petrochemical, Baotou Steel and Fosun Pharma. Moreover, the index adopts the method of weighting the circulating market value to prevent the small equity from being too heavy. At present, the simulation performance of the index is very good, the trend is relatively stable, the turnover rate is low, below 30% in the past eight months, and the annualized excess return is above 30%. Moreover, the retracement in market fluctuations is much smaller than other big data indexes.
The above is what Bian Xiao shared for you about Tianhong Fund building a leading big data index in three major areas. For more information, you can pay attention to Global Ivy and share more dry goods.