Gmo E Plus Fund Market Value
| GUGAX Fund | USD 17.35 0.03 0.17% |
| Symbol | Gmo |
Gmo E '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 E'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 E.
| 04/24/2025 |
| 07/23/2025 |
If you would invest 0.00 in Gmo E on April 24, 2025 and sell it all today you would earn a total of 0.00 from holding Gmo E Plus or generate 0.0% return on investment in Gmo E over 90 days. Gmo E is related to or competes with Oppenheimer Gold, James Balanced, Global Gold, Europac Gold, and World Precious. Under normal circumstances, the fund invests directly and indirectly at least 80 percent of its assets in bonds More
Gmo E 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 E'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 E Plus upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.3075 | |||
| Information Ratio | (0.52) | |||
| Maximum Drawdown | 1.18 | |||
| Value At Risk | (0.47) | |||
| Potential Upside | 0.4709 |
Gmo E Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Gmo E's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Gmo E's standard deviation. In reality, there are many statistical measures that can use Gmo E historical prices to predict the future Gmo E's volatility.| Risk Adjusted Performance | 0.0655 | |||
| Jensen Alpha | 0.0013 | |||
| Total Risk Alpha | (0.04) | |||
| Sortino Ratio | (0.49) | |||
| Treynor Ratio | 0.1822 |
Gmo E Plus Backtested Returns
At this stage we consider Gmo Mutual Fund to be very steady. Gmo E Plus holds Efficiency (Sharpe) Ratio of 0.0851, which attests that the entity had a 0.0851 % return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Gmo E Plus, which you can use to evaluate the volatility of the entity. Please check out Gmo E's Market Risk Adjusted Performance of 0.1922, downside deviation of 0.3075, and Risk Adjusted Performance of 0.0655 to validate if the risk estimate we provide is consistent with the expected return of 0.0238%. The fund retains a Market Volatility (i.e., Beta) of 0.0973, which attests to not very significant fluctuations relative to the market. As returns on the market increase, Gmo E's returns are expected to increase less than the market. However, during the bear market, the loss of holding Gmo E is expected to be smaller as well.
Auto-correlation | -0.54 |
Good reverse predictability
Gmo E Plus has good reverse predictability. Overlapping area represents the amount of predictability between Gmo E time series from 24th of April 2025 to 8th of June 2025 and 8th of June 2025 to 23rd of July 2025. 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 E Plus price movement. The serial correlation of -0.54 indicates that about 54.0% of current Gmo E price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.54 | |
| Spearman Rank Test | 0.15 | |
| Residual Average | 0.0 | |
| Price Variance | 0.01 |
Gmo E Plus lagged returns against current returns
Autocorrelation, which is Gmo E mutual fund's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting Gmo E's mutual fund expected returns. We can calculate the autocorrelation of Gmo E returns to help us make a trade decision. For example, suppose you find that Gmo E has exhibited high autocorrelation historically, and you observe that the mutual fund is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values |
| Timeline |
Gmo E regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If Gmo E mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Gmo E mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Gmo E mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Gmo E Lagged Returns
When evaluating Gmo E's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Gmo E mutual fund have on its future price. Gmo E autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, Gmo E autocorrelation shows the relationship between Gmo E mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Gmo E Plus.
Regressed Prices |
| Timeline |
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.Other Information on Investing in Gmo Mutual Fund
Gmo E 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 E security.
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