Quantitative U S Fund Quote
| GQLVX Fund | USD 13.03 0.20 1.56% |
PerformanceGood
| Odds Of DistressLow
|
Quantitative is trading at 13.03 as of the 23rd of July 2025; that is 1.56% increase since the beginning of the trading day. The fund's open price was 12.83. Quantitative has less than a 18 % chance of experiencing some financial distress in the next two years of operation and had a good performance during the last 90 days. The performance scores are derived for the period starting the 24th of April 2025 and ending today, the 23rd of July 2025. Click here to learn more.
Under normal market circumstances, the Portfolio invests at least 80 percent of the value of its net assets in common stocks of large cap companies tied economically to the U.S. The Advisor considers a company to be tied economically to the U.S. if the company 1 is organized under the laws of the U.S., 2 maintains its principal place of business in the U.S., 3 is traded principally in the U.S. More on Quantitative U S
Moving together with Quantitative Mutual Fund
Quantitative Mutual Fund Highlights
| Fund Concentration | Glenmede Funds, Large Funds, Large Value Funds, Large Value, Glenmede, Large, Large Value (View all Sectors) |
| Update Date | 30th of June 2025 |
Quantitative U S [GQLVX] is traded in USA and was established 23rd of July 2025. Quantitative is listed under Glenmede category by Fama And French industry classification. The fund is listed under Large Value category and is part of Glenmede family. This fund currently has accumulated 1.51 M in assets under management (AUM) with no minimum investment requirementsQuantitative U S is currently producing year-to-date (YTD) return of 3.94% with the current yeild of 0.02%, while the total return for the last 3 years was 10.84%.
Check Quantitative Probability Of Bankruptcy
Instrument Allocation
Sector Allocation
Investors will always prefer to have their portfolios divercified against different sectors. The broad sector allocation increases the possibility of making a profit or at least avoiding a loss. However, this may also reduce the expected return on Quantitative Mutual Fund. Generally, it depends on diversification level and type but usually, the broader the sector allocation, the less risk can be expected from holding Quantitative Mutual Fund, and the less return is expected.
Institutional investors that are interested in enforcing a sector tilt in their portfolio can use exchange-traded funds, such as Quantitative U S Mutual Fund, as a low-cost alternative to building a custom portfolio. So, using sector ETFs to diversify your portfolio can be a profitable strategy. However, no matter what sectors are desirable at a given time, no single industry should ever make up more than 20 percent of your stock portfolio.
Top Quantitative U S Mutual Fund Constituents
| GILD | Gilead Sciences | Stock | Health Care | |
| JPM | JPMorgan Chase Co | Stock | Financials | |
| NDAQ | Nasdaq Inc | Stock | Financials | |
| AMP | Ameriprise Financial | Stock | Financials | |
| STI | Solidion Technology | Stock | Industrials | |
| ETN | Eaton PLC | Stock | Industrials | |
| FITB | Fifth Third Bancorp | Stock | Financials | |
| CBRE | CBRE Group Class | Stock | Real Estate |
Quantitative U S Risk Profiles
| Mean Deviation | 0.6643 | |||
| Semi Deviation | 0.7206 | |||
| Standard Deviation | 0.885 | |||
| Variance | 0.7832 |
Quantitative Against Markets
Other Information on Investing in Quantitative Mutual Fund
Quantitative financial ratios help investors to determine whether Quantitative Mutual Fund is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Quantitative with respect to the benefits of owning Quantitative security.
| Alpha Finder Use alpha and beta coefficients to find investment opportunities after accounting for the risk | |
| Watchlist Optimization Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm | |
| Performance Analysis Check effects of mean-variance optimization against your current asset allocation | |
| Technical Analysis Check basic technical indicators and analysis based on most latest market data |