SCDS
JPMorgan Fundamental Data Science Small Core ETF
📎 Investment Objective
The JPMorgan Fundamental Data Science Small Core ETF (SCDS) seeks to provide investment results that closely correspond, before fees and expenses, to the performance of the JPMorgan Fundamental Data Science Small Core Index.
Overview
ETF tracking JPMorgan Fundamental Data Science Small Core ETF
Performance
Price Chart
Investment Summary
📎 Investment Objective
The JPMorgan Fundamental Data Science Small Core ETF (SCDS) seeks to provide investment results that closely correspond, before fees and expenses, to the performance of the JPMorgan Fundamental Data Science Small Core Index.
🎯 Investment Strategy
The ETF employs a passive management (or index-tracking) strategy designed to track the performance of the underlying index. The index uses a rules-based approach to select and weight small-capitalization U.S. stocks based on fundamental data science factors.
✨ Key Features
- Passively managed index-tracking ETF focused on small-cap U.S. stocks
- Utilizes a data science-driven index methodology to identify and weight securities
- Low expense ratio of 0.00%
- Relatively new fund with limited performance history
⚠️ Primary Risks
- Exposure to small-cap stocks, which may be more volatile and less liquid than large-cap stocks
- Potential tracking error between the fund and its underlying index
- Reliance on the index provider's data science methodology, which may not always be effective
- Limited performance history makes it difficult to evaluate long-term returns
👤 Best For
The JPMorgan Fundamental Data Science Small Core ETF may be suitable for investors seeking exposure to a diversified portfolio of small-cap U.S. stocks using a data-driven approach. However, due to the fund's limited track record, it may be more appropriate for investors with a higher risk tolerance and a longer investment horizon.