Quantitative Financials
| GTLSX Fund | USD 13.72 0.02 0.15% |
Quantitative |
Please note that you must use caution to infer results of funds future performance. Investment returns and principal value will fluctuate so that investors' shares, when sold, may be worth more or less than their original cost.
Quantitative Fund Summary
Quantitative competes with Nationwide Bailard, Columbia Global, Icon Information, Pgim Jennison, and Fidelity Advisor. The fund normally invests at least 80 percent of the value of its net assets in long and short positions with respect to equity securities, such as common stocks, of public companies tied economically to the U.S. It will invest in companies with market capitalizations, at the time of purchase, that are within the market capitalization range of any stock in the Russell 3000 Index.Specialization | Long-Short Equity, Large |
| Instrument | USA Mutual Fund View All |
| Exchange | NMFQS Exchange |
| ISIN | US3786905311 |
| Business Address | Glenmede Fund |
| Mutual Fund Family | Glenmede |
| Mutual Fund Category | Long-Short Equity |
| Benchmark | Dow Jones Industrial |
| Phone | 800 442 8299 |
| Currency | USD - US Dollar |
Quantitative Key Financial Ratios
Quantitative Financial Ratios Relationships
Comparative valuation techniques use various fundamental indicators to help in determining Quantitative's current stock value. Our valuation model uses many indicators to compare Quantitative value to that of its competitors to determine the firm's financial worth. You can analyze the relationship between different fundamental ratios across Quantitative competition to find correlations between indicators driving Quantitative's intrinsic value. More Info.Quantitative Longshort Equity is one of the top funds in annual yield among similar funds. It also is one of the top funds in year to date return among similar funds creating about 180.24 of Year To Date Return per Annual Yield. The reason why the comparable model can be used in almost all circumstances is due to the vast number of multiples that can be utilized, such as the price-to-earnings (P/E), price-to-book (P/B), price-to-sales (P/S), price-to-cash flow (P/CF), and many others. The P/E ratio is the most commonly used of these ratios because it focuses on the Quantitative's earnings, one of the primary drivers of an investment's value.Quantitative Longshort Systematic Risk
Quantitative's systematic risk plays a vital role in portfolio allocation when considering its stock to be added to a well-diversified portfolio. Quantitative volatility which cannot be eliminated through diversification, requires returns over the risk-free rate. Over the long run, a well-diversified portfolio provides returns that match its exposure to systematic risk. In this case, investors face a trade-off between expected returns and systematic risk and, therefore, can only reduce a portfolio's exposure to systematic risk by sacrificing expected returns on the portfolio.
The output start index for this execution was fourteen with a total number of output elements of fourty-seven. The Beta measures systematic risk based on how returns on Quantitative Longshort correlated with the market. If Beta is less than 0 Quantitative generally moves in the opposite direction as compared to the market. If Quantitative Beta is about zero movement of price series is uncorrelated with the movement of the benchmark. if Beta is between zero and one Quantitative Longshort is generally moves in the same direction as, but less than the movement of the market. For Beta = 1 movement of Quantitative is generally in the same direction as the market. If Beta > 1 Quantitative moves generally in the same direction as, but more than the movement of the benchmark.
Quantitative Thematic Clasifications
Quantitative Longshort Equity is part of several thematic ideas from Long Short Funds to Market Neutral Funds. If you are a theme-oriented, socially responsible, and at the same time, a result-driven investor, you can align your investing habits with your values without jeopardizing your expectations about returns. You can easily create an optimal portfolio of stocks, ETFs, funds, or cryptocurrencies based on a specific theme of your liking. Get More Thematic IdeasQuantitative Longshort Equity is one of the top funds in net asset among similar funds. Total Asset Under Management (AUM) of Long-Short Equity category is currently estimated at about 5.51 Billion. Quantitative maintains roughly 51.1 Million in net asset contributing less than 1% to funds under Long-Short Equity category.Quantitative July 19, 2025 Opportunity Range
Along with financial statement analysis, the daily predictive indicators of Quantitative help investors to analyze its daily demand and supply, volume, patterns, and price swings to determine the real value of Quantitative Longshort Equity. We use our internally-developed statistical techniques to arrive at the intrinsic value of Quantitative Longshort Equity based on widely used predictive technical indicators. In general, we focus on analyzing Quantitative Mutual Fund price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Quantitative's daily price indicators and compare them against related drivers.
| Downside Deviation | 0.4112 | |||
| Information Ratio | (0.18) | |||
| Maximum Drawdown | 2.13 | |||
| Value At Risk | (0.60) | |||
| Potential Upside | 0.7965 |
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.
| Portfolio Volatility Check portfolio volatility and analyze historical return density to properly model market risk | |
| Portfolio Backtesting Avoid under-diversification and over-optimization by backtesting your portfolios | |
| Fundamental Analysis View fundamental data based on most recent published financial statements | |
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