Tianhong Fund creates leading big data indices in three fields

The State Council recently released the Outline of Actions for Promoting the Development of Big Data (hereinafter referred to as the "Outline"), which elevates the development of big data to a national strategy, and the huge value contained in big data will be further explored. As a leader in domestic big data investment and research, Tianhong Fund developed and customized China's first social investment big data index - Snowball 100 index was officially released on September 15, from this date onwards, investors can view the index quotes through the Snowball network, Wind and other data terminals, to understand the specific points, up and down, time trends and other data.

The characteristics of the snowball 100 index is the most concerned about the problem of investors, in this regard, Tianhong Fund, general manager of the Investment Research Department, Xiao Zhigang said, Tianhong Fund customized development of the snowball 100 index, to do in three aspects of the leading. First, the first to introduce investment crowdsourcing thinking, screening the wisdom of a large number of experienced investors, their wisdom into a guiding, visualization of the index; second, the use of Snowball's unique data resources, to create the first domestic social investment big data index; third, the compilation of the elimination of other repetitive factors, but also the first domestic pure big data index.

Shaw also said that Tianhong Fund chose to use Snowball's data to compile the big data index because it sees Snowball as a social investment platform with a decentralized investment system. "Snowball's large amount of data, there must be a lot of excellent investors, excellent ideas, if you can use a certain method to screen out these people and centralize these ideas, you will certainly be able to beat the market in a high probability. And Snowball's simulation portfolio can data investors' investment ideas, which is more intuitive and easier to handle, so we thought of cooperating to develop such an index to mobilize the public's wisdom." Xiao Zhigang said that after the release of the Snowball 100 index, Tianhong Fund will issue a fund tracking the Snowball 100 index at the earliest possible time, and the product is currently under preparation.

Tianhong Fund also breaks with tradition and adopts an innovative model when compiling the Snowball 100 index, in order to provide investors with a simple, clear and effective tool.

Shaw Zhigang said that in the preparation process, the comprehensive consideration of the snowball user's identification of the stock, the user's research ability, investment ability, and finally the combination of comprehensive decision-making, is a strategy that has gone through layers and layers of screening, simulation of the real investment decision-making, and can reflect the overall situation of the stock positions of the users who have the ability to invest and the ability to research, as well as to increase or decrease their positions. Simply put, the Snowball 100 is compiled by first screening out the big V's that are recognized by users, then quantifying their research and investment abilities, then scoring their stocks in a comprehensive manner and selecting high scoring portfolios.

First, among all the registered users of Snowball, the top 5% of the users ranked by the number of fans are selected as the reference users; among all the self-selected portfolios created by the reference users, the portfolios whose positions have changed in the recent month are selected as the reference portfolios. Among the stocks covered by all reference portfolios, stocks held by at least 20 reference users (as of the end of the month) are selected as the samples to be selected; second, the research and investment capabilities of the VCs are quantified based on the data of their commentaries and position adjustments. For each reference user covered by a to-be-selected sample, a score is given based on their relevant portfolio historical performance and online activity (when a portfolio is created less than one year ago, the relevant historical performance score is zero) to obtain the ability score of a single reference user regarding a to-be-selected sample. Position scores and position adjustment scores are calculated for individual samples to be selected (positive for additions and negative for reductions), and thus weighted to obtain their composite scores. The 100 stocks with the highest composite scores are selected as index sample stocks.

In addition, the constituents of the Snowball 100 Index are adjusted once a month. Among the 100 constituents in the latest period, the number of stocks in Shanghai, Shenzhen and GEM accounted for 42%, 39% and 19% respectively, and the market capitalization of positions accounted for 57.22%, 34.34% and 8.44% respectively, including Pudong Development Bank, Minsheng Bank, Sinopec, Baosteel and Fosun Pharmaceutical. Moreover, the index is weighted by market capitalization outstanding to prevent overweighting of small stocks. So far, the simulated performance of the index has been very good, with a relatively robust trend, low turnover rate, below 30% for the last 8 months, and annualized excess returns above 30%. And the retracement in the sharp market shock is much smaller than other big data indices.

The above is what I shared with you about Tianhong Fund to create three areas of leading big data index, more information can be concerned about the Global Green Ivy to share more dry goods