Theme funds focus on investing in a certain theme industry or enterprise. Such funds often take one or several themes as investment targets according to the future development trend of the economy, such as "medicine theme fund", "emerging industry fund", "beautiful China theme fund" and "urbanization theme fund". For example, Apple mobile phones have been selling well for several years, and some people have taken over the upstream and downstream related companies to form the Apple concept plate; Wang Yawei used to be a stock god in China. Some people saved the stocks that Wang Yawei had voted for, which is the Wang Yawei concept plate; By analogy, the world stock gods Buffett, World Cup, Tesla and Internet finance are all existing theme concepts.
The design of theme funds also enables fund managers to conduct in-depth research, grasp the investment opportunities of individual projects, and accurately control the corresponding investment themes. Therefore, the theme investment is still based on the top-down investment analysis framework, making forward-looking research on the trend and motivation of regional or industrial economic development, and digging out industries and enterprises that are not optimistic about the market and have long-term investment value. Another charm of theme investment is to spread the risk of overall stock investment. Investors usually expect that when the market faces downside risks, the theme fund can be relatively independent of market conditions and reduce the overall volatility of the portfolio.
Classification of theme funds. Theme funds can be divided into three categories: first, investment funds that invest in conceptual themes. 2. Funds with theme investment style; Three: quantitative investment quantitative theme fund. The first category focuses on conceptual themes and has high requirements for fund managers; The second one adopts the theme investment strategy, which requires higher investment ability of the investment team; The third category focuses on the research of investment system, which requires higher quantitative model and system research.