(FUNL) CornerCap Fundametrics - Ratings and Ratios

The CornerCap Fundametrics Large-Cap ETF (FUNL) is an actively managed ETF that employs a proprietary quantitative research system, Fundametrics, to invest in U.S.-listed equity securities of large-capitalization companies. This approach allows the fund to capitalize on market opportunities through a data-driven investment strategy.

Focusing on large-cap companies, FUNL invests at least 80% of its net assets in securities of these firms, indicating a stable and relatively low-risk investment profile. The funds large value category classification suggests it targets undervalued companies with strong fundamentals, potentially offering a value investing approach.

To further evaluate FUNLs performance, we can consider key performance indicators (KPIs) such as expense ratio, tracking error, and dividend yield. A lower expense ratio is crucial for long-term investors, as it directly impacts net returns. FUNLs tracking error, or the deviation from its intended investment strategy, is also important, although the actively managed nature means it wont track a specific index. Additionally, the dividend yield can provide insight into the income generated by the fund, which is attractive for income-focused investors.

Considering the AUM of $199.10M USD, FUNL has a moderate asset base, suggesting it is sizable enough to be viable but not so large that it may face significant challenges in executing its investment strategy. The funds size, combined with its investment approach, positions it as a potentially attractive option for investors seeking large-cap exposure through an actively managed ETF.

To assess FUNLs effectiveness, we can examine its historical performance relative to peers and benchmarks, such as the S&P 500 Value Index. Metrics like the Sharpe ratio, which measures risk-adjusted returns, and the information ratio, which assesses the funds ability to generate excess returns relative to its benchmark, can provide further insights into FUNLs investment prowess.