Gmo E Plus Fund Market Value
| GPBFX Fund | USD 17.97 0.06 0.34% |
| Symbol | Gmo |
Gmo Core '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 Core'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 Core.
| 11/01/2024 |
| 12/01/2024 |
If you would invest 0.00 in Gmo Core on November 1, 2024 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 Core over 30 days. Gmo Core is related to or competes with Gmo E, Gmo Trust, Gmo Treasury, Gmo Trust, Gmo Emerging, Gmo Emerging, and Gmo Emerging. Under normal circumstances, the fund invests directly and indirectly at least 80 percent of its assets in bonds More
Gmo Core 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 Core'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.
| Information Ratio | (0.48) | |||
| Maximum Drawdown | 1.41 | |||
| Value At Risk | (0.67) | |||
| Potential Upside | 0.4442 |
Gmo Core Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Gmo Core's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Gmo Core's standard deviation. In reality, there are many statistical measures that can use Gmo Core historical prices to predict the future Gmo Core's volatility.| Risk Adjusted Performance | (0.04) | |||
| Jensen Alpha | (0.01) | |||
| Total Risk Alpha | (0.07) | |||
| Treynor Ratio | 0.4728 |
Gmo E Plus Backtested Returns
Gmo E Plus holds Efficiency (Sharpe) Ratio of -0.0328, which attests that the entity had a -0.0328% return per unit of risk over the last 3 months. Gmo E Plus exposes twenty-one different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out Gmo Core's Market Risk Adjusted Performance of 0.4828, standard deviation of 0.3066, and Risk Adjusted Performance of (0.04) to validate the risk estimate we provide. The fund retains a Market Volatility (i.e., Beta) of -0.0415, which attests to not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Gmo Core are expected to decrease at a much lower rate. During the bear market, Gmo Core is likely to outperform the market.
Auto-correlation | -0.05 |
Very weak reverse predictability
Gmo E Plus has very weak reverse predictability. Overlapping area represents the amount of predictability between Gmo Core time series from 1st of November 2024 to 16th of November 2024 and 16th of November 2024 to 1st of December 2024. 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 -0.05 indicates that only as little as 5.0% of current Gmo Core price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.05 | |
| Spearman Rank Test | 0.03 | |
| Residual Average | 0.0 | |
| Price Variance | 0.01 |
Gmo E Plus lagged returns against current returns
Autocorrelation, which is Gmo Core 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 Core's mutual fund expected returns. We can calculate the autocorrelation of Gmo Core returns to help us make a trade decision. For example, suppose you find that Gmo Core 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 Core 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 Core mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Gmo Core 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 Core mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Gmo Core Lagged Returns
When evaluating Gmo Core's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Gmo Core mutual fund have on its future price. Gmo Core 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 Core autocorrelation shows the relationship between Gmo Core 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 Core 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 Core security.
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