FNDF Profile
The Schwab Fundamental International Large Company Index ETF aims to invest a minimum of 90% of its net assets in stocks that are part of its underlying index. This index is designed to reflect the performance of large-cap companies outside the United States, focusing on fundamental company metrics. The ETF selects its investments from the developed markets segment of the FTSE Global Total Cap Index, excluding U.S. companies, and evaluates these stocks based on fundamental scores derived from a range of financial indicators.
The FTSE Global Total Cap Index serves as the broad investment universe for this fund, encompassing companies across various global markets. The underlying index evaluates large-cap stocks using fundamental company scores, which are calculated from key financial metrics such as earnings, sales, and book value. This methodology provides a more comprehensive view of a company’s financial health and investment potential, as opposed to relying solely on market capitalization.
By focusing on large-cap international firms with strong fundamental profiles, the Schwab Fundamental International Large Company Index ETF seeks to offer investors exposure to established companies that exhibit financial stability and growth potential. The fundamental scoring approach aims to identify companies that are undervalued relative to their intrinsic financial strength, potentially leading to enhanced returns and reduced risk compared to traditional market-cap-weighted indices.
Investors in the Schwab Fundamental International Large Company Index ETF benefit from a systematic investment strategy that combines global diversification with a rigorous fundamental analysis. This ETF is designed for those looking to gain targeted exposure to large-cap international equities while leveraging Schwab's commitment to low-cost, transparent investment solutions. The fund's focus on fundamental scores aligns with a broader strategy to capture long-term growth opportunities in the global large-cap sector while managing risk through careful selection based on financial metrics.
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