Wang Jun（Ding Feng Asset Multi-Strategic Investment Fund Manager）
Quantitative empirical research on the fundamental stock selection system has developed an effective quantitative strategy.
Fudan University MBA graduate student. Once worked for Baosight software and calm investment. Served as a researcher in mechanical, TMT industry, research director of industrial technology group, quantitative research leader, and investment manager. Joined Ding Feng Assets in 2012 and is responsible for quantifying investments. Mr. Wang Jun has over 10 years of software development experience and complete industry research, financial engineering, and investment management experience.
Through the financial engineering method to build a quantitative model, the staged excess returns of growth stocks are aggregated into long-term absolute returns.
1. Insist on white-box quantification. All strategy models require clear investment logic as the basis.
2. Empirical analysis of investment logic, methods, and experience using massive data to extract effective parts into a strategic model.
3, through the machine learning method, to find an effective investment paradigm outside the field of vision, can give a logical interpretation of the paradigm to choose.
4. Summarize the internal and external operational conditions of the strategic model sample, further enhance and correct the understanding of the initial investment logic, and form a closed loop.