Gmo Emerging Markets Fund Technical Analysis
| GEMEX Fund | USD 32.54 0.63 1.97% |
As of the 8th of February, Gmo Emerging retains the Risk Adjusted Performance of 0.1843, downside deviation of 0.8042, and Market Risk Adjusted Performance of 0.3671. Gmo Emerging technical analysis makes it possible for you to employ historical prices and volume momentum with the intention to determine a pattern that calculates the direction of the entity's future prices.
Gmo Emerging Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Gmo, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to GmoGmo |
Gmo Emerging 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Gmo Emerging's mutual fund what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Gmo Emerging.
| 11/10/2025 |
| 02/08/2026 |
If you would invest 0.00 in Gmo Emerging on November 10, 2025 and sell it all today you would earn a total of 0.00 from holding Gmo Emerging Markets or generate 0.0% return on investment in Gmo Emerging over 90 days. Gmo Emerging is related to or competes with American Century, Tiaa Cref, Pace High, and Dunham High. Under normal circumstances, the fund invests at least 80 percent of the funds net assets directly and indirectly in comp... More
Gmo Emerging Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Gmo Emerging's mutual fund current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Gmo Emerging Markets upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.8042 | |||
| Information Ratio | 0.117 | |||
| Maximum Drawdown | 4.11 | |||
| Value At Risk | (1.05) | |||
| Potential Upside | 1.34 |
Gmo Emerging Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Gmo Emerging's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Gmo Emerging's standard deviation. In reality, there are many statistical measures that can use Gmo Emerging historical prices to predict the future Gmo Emerging's volatility.| Risk Adjusted Performance | 0.1843 | |||
| Jensen Alpha | 0.1349 | |||
| Total Risk Alpha | 0.0942 | |||
| Sortino Ratio | 0.1168 | |||
| Treynor Ratio | 0.3571 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Gmo Emerging's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Gmo Emerging February 8, 2026 Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.1843 | |||
| Market Risk Adjusted Performance | 0.3671 | |||
| Mean Deviation | 0.6395 | |||
| Semi Deviation | 0.5637 | |||
| Downside Deviation | 0.8042 | |||
| Coefficient Of Variation | 437.22 | |||
| Standard Deviation | 0.8027 | |||
| Variance | 0.6444 | |||
| Information Ratio | 0.117 | |||
| Jensen Alpha | 0.1349 | |||
| Total Risk Alpha | 0.0942 | |||
| Sortino Ratio | 0.1168 | |||
| Treynor Ratio | 0.3571 | |||
| Maximum Drawdown | 4.11 | |||
| Value At Risk | (1.05) | |||
| Potential Upside | 1.34 | |||
| Downside Variance | 0.6468 | |||
| Semi Variance | 0.3178 | |||
| Expected Short fall | (0.75) | |||
| Skewness | (0.40) | |||
| Kurtosis | 0.5585 |
Gmo Emerging Markets Backtested Returns
Gmo Emerging appears to be very steady, given 3 months investment horizon. Gmo Emerging Markets holds Efficiency (Sharpe) Ratio of 0.25, which attests that the entity had a 0.25 % return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Gmo Emerging Markets, which you can use to evaluate the volatility of the entity. Please utilize Gmo Emerging's Downside Deviation of 0.8042, risk adjusted performance of 0.1843, and Market Risk Adjusted Performance of 0.3671 to validate if our risk estimates are consistent with your expectations. The fund retains a Market Volatility (i.e., Beta) of 0.49, which attests to possible diversification benefits within a given portfolio. As returns on the market increase, Gmo Emerging's returns are expected to increase less than the market. However, during the bear market, the loss of holding Gmo Emerging is expected to be smaller as well.
Auto-correlation | 0.12 |
Insignificant predictability
Gmo Emerging Markets has insignificant predictability. Overlapping area represents the amount of predictability between Gmo Emerging time series from 10th of November 2025 to 25th of December 2025 and 25th of December 2025 to 8th of February 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Gmo Emerging Markets price movement. The serial correlation of 0.12 indicates that less than 12.0% of current Gmo Emerging price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.12 | |
| Spearman Rank Test | 0.0 | |
| Residual Average | 0.0 | |
| Price Variance | 1.34 |
Gmo Emerging technical mutual fund analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, fund market cycles, or different charting patterns.
Gmo Emerging Markets Technical Analysis
The output start index for this execution was one with a total number of output elements of sixty. The Average True Range was developed by J. Welles Wilder in 1970s. It is one of components of the Welles Wilder Directional Movement indicators. The ATR is a measure of Gmo Emerging Markets volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About Gmo Emerging Technical Analysis
The technical analysis module can be used to analyzes prices, returns, volume, basic money flow, and other market information and help investors to determine the real value of Gmo Emerging Markets on a daily or weekly bases. We use both bottom-up as well as top-down valuation methodologies to arrive at the intrinsic value of Gmo Emerging Markets based on its technical analysis. In general, a bottom-up approach, as applied to this mutual fund, focuses on Gmo Emerging Markets price pattern first instead of the macroeconomic environment surrounding Gmo Emerging Markets. By analyzing Gmo Emerging's financials, daily price indicators, and related drivers such as dividends, momentum ratios, and various types of growth rates, we attempt to find the most accurate representation of Gmo Emerging's intrinsic value. As compared to a bottom-up approach, our top-down model examines the macroeconomic factors that affect the industry/economy before zooming in to Gmo Emerging specific price patterns or momentum indicators. Please read more on our technical analysis page.
Gmo Emerging February 8, 2026 Technical Indicators
Most technical analysis of Gmo help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for Gmo from various momentum indicators to cycle indicators. When you analyze Gmo charts, please remember that the event formation may indicate an entry point for a short seller, and look at different other indicators across different periods to confirm that a breakdown or reversion is likely to occur.
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.1843 | |||
| Market Risk Adjusted Performance | 0.3671 | |||
| Mean Deviation | 0.6395 | |||
| Semi Deviation | 0.5637 | |||
| Downside Deviation | 0.8042 | |||
| Coefficient Of Variation | 437.22 | |||
| Standard Deviation | 0.8027 | |||
| Variance | 0.6444 | |||
| Information Ratio | 0.117 | |||
| Jensen Alpha | 0.1349 | |||
| Total Risk Alpha | 0.0942 | |||
| Sortino Ratio | 0.1168 | |||
| Treynor Ratio | 0.3571 | |||
| Maximum Drawdown | 4.11 | |||
| Value At Risk | (1.05) | |||
| Potential Upside | 1.34 | |||
| Downside Variance | 0.6468 | |||
| Semi Variance | 0.3178 | |||
| Expected Short fall | (0.75) | |||
| Skewness | (0.40) | |||
| Kurtosis | 0.5585 |
Gmo Emerging Markets One Year Return
Based on the recorded statements, Gmo Emerging Markets has an One Year Return of 45.1315%. This is 938.88% lower than that of the GMO family and significantly higher than that of the Diversified Emerging Mkts category. The one year return for all United States funds is notably lower than that of the firm.
Although One Year Fund Return indicator can give a sense of overall fund short-term potential, it is recommended to look at mid and long term return measure before selecting a particular fund or ETF. The great way to validate fund short-term performance is to compare it with other similar funds or ETFs for the same 12 months interval.Gmo Emerging February 8, 2026 Daily Trend Indicators
Traders often use several different daily volumes and price technical indicators to supplement a more traditional technical analysis when analyzing securities such as Gmo stock. With literally thousands of different options, investors must choose the best indicators for them and familiarize themselves with how they work. We suggest combining traditional momentum indicators with more near-term forms of technical analysis such as Accumulation Distribution or Daily Balance Of Power. With their quantitative nature, daily value technical indicators can also be incorporated into your automated trading systems.
| Accumulation Distribution | 0.00 | ||
| Daily Balance Of Power | Huge | ||
| Rate Of Daily Change | 1.02 | ||
| Day Median Price | 32.54 | ||
| Day Typical Price | 32.54 | ||
| Price Action Indicator | 0.31 |
Other Information on Investing in Gmo Mutual Fund
Gmo Emerging financial ratios help investors to determine whether Gmo 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 Gmo with respect to the benefits of owning Gmo Emerging security.
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