SCDS

JPMorgan Fundamental Data Science Small Core ETF

JPMorgan Fundamental Data Science Small Core ETF (SCDS) seeks to track small-cap U.S. companies selected through JPMorgan's proprietary data science methodology that analyzes fundamental financial metrics. This quantitative approach identifies undervalued small-cap stocks with strong balance sheets and earnings potential within the Russell 2000 universe.

How It Works

SCDS employs an active quantitative strategy using machine learning algorithms and big data analytics to screen Russell 2000 companies based on fundamental factors like profitability, financial strength, and valuation metrics. The fund's data science models continuously analyze thousands of data points to identify mispriced securities. Portfolio construction emphasizes risk-adjusted returns with quarterly rebalancing to maintain optimal factor exposures while managing concentration risk across sectors.

Key Features

Combines JPMorgan's institutional investment expertise with cutting-edge data science and machine learning for small-cap stock selection
Zero expense ratio launch offering provides significant cost advantage over typical active small-cap ETFs charging 0.75-1.25%
Recently launched in August 2024, representing JPMorgan's newest quantitative approach to small-cap value discovery

Risks

This ETF can lose value if JPMorgan's data science models fail to identify profitable opportunities or if quantitative factors fall out of favor
Small-cap stocks are inherently volatile and could decline 40-50% during market downturns, with higher volatility than large-cap alternatives
As a new fund with minimal assets, liquidity constraints and tracking error risks may be elevated until the ETF gains scale

Who Should Own This

Best suited for sophisticated investors with high risk tolerance and 3-5 year time horizons seeking small-cap exposure through quantitative methods. Appropriate as a satellite holding representing 5-15% of equity allocation. Appeals to investors interested in factor-based investing and JPMorgan's data science capabilities for small-cap value discovery.