What problem does it solve?
Investment research teams often struggle with time-consuming, inconsistent manual fund evaluation and manager analysis, leading to unreliable insights and delayed investment decisions. This Skill standardizes the entire workflow for evaluating public funds, fixed-income plus, index funds, QDII, and fund managers, delivering consistent, data-driven outputs to support accurate investment research and advisory services.
Core Features & Use Cases
- Quantitative Fund Evaluation: Implements the R9Alpha evaluation model to score and rank funds across return, risk, and risk-adjusted metrics (annualized return, excess return, maximum drawdown, Sharpe ratio, information ratio), generating quarterly Top/Bottom fund lists and style drift monitoring reports.
- Fund Manager Profiling: Analyzes manager investment style, ability circle, industry preference, stock concentration, turnover rate, and tenure stability based on holding data, outputting standardized profile reports with radar charts and style tags.
- Fund Diagnosis & Attribution: Breaks down fund return sources into asset allocation, industry selection, stock selection, and interaction terms to distinguish alpha from beta, and outputs diagnostic reports for client-held funds with risk exposure and rebalancing recommendations.
- Use Case: An investment research team can use this Skill to quickly complete the quarterly evaluation of all market funds, generate standardized manager profile reports for investment decision meetings, and produce customized fund combination plans tailored to high-net-worth client risk preferences.
Quick Start
Use the r9-opc-research-fund skill to generate a quarterly R9Alpha evaluation report for all active equity funds in the Chinese market, including Top 10 and Bottom 10 rankings and style drift alerts.
