Gmo Resources Fund Market Value
| GOVIX Fund | USD 18.83 0.17 0.91% |
| Symbol | Gmo |
Gmo Resources '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 Resources' 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 Resources.
| 01/12/2024 |
| 01/06/2025 |
If you would invest 0.00 in Gmo Resources on January 12, 2024 and sell it all today you would earn a total of 0.00 from holding Gmo Resources Fund or generate 0.0% return on investment in Gmo Resources over 360 days. Gmo Resources is related to or competes with Thrivent Natural, Pimco Energy, Icon Natural, Salient Mlp, Adams Natural, and Oil Gas. The fund has a fundamental policy to concentrate its investments in the natural resources sector, and, under normal mark... More
Gmo Resources 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 Resources' 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 Resources Fund upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.14) | |||
| Maximum Drawdown | 6.75 | |||
| Value At Risk | (2.48) | |||
| Potential Upside | 1.75 |
Gmo Resources Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Gmo Resources' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Gmo Resources' standard deviation. In reality, there are many statistical measures that can use Gmo Resources historical prices to predict the future Gmo Resources' volatility.| Risk Adjusted Performance | (0.09) | |||
| Jensen Alpha | (0.17) | |||
| Total Risk Alpha | (0.19) | |||
| Treynor Ratio | (0.82) |
Gmo Resources Backtested Returns
Gmo Resources holds Efficiency (Sharpe) Ratio of -0.12, which attests that the entity had a -0.12% return per unit of risk over the last 3 months. Gmo Resources exposes twenty-one different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out Gmo Resources' Market Risk Adjusted Performance of (0.81), standard deviation of 1.33, and Risk Adjusted Performance of (0.09) to validate the risk estimate we provide. The fund retains a Market Volatility (i.e., Beta) of 0.2, which attests to not very significant fluctuations relative to the market. As returns on the market increase, Gmo Resources' returns are expected to increase less than the market. However, during the bear market, the loss of holding Gmo Resources is expected to be smaller as well.
Auto-correlation | -0.06 |
Very weak reverse predictability
Gmo Resources Fund has very weak reverse predictability. Overlapping area represents the amount of predictability between Gmo Resources time series from 12th of January 2024 to 10th of July 2024 and 10th of July 2024 to 6th of January 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 Resources price movement. The serial correlation of -0.06 indicates that barely 6.0% of current Gmo Resources price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.06 | |
| Spearman Rank Test | -0.24 | |
| Residual Average | 0.0 | |
| Price Variance | 0.71 |
Gmo Resources lagged returns against current returns
Autocorrelation, which is Gmo Resources 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 Resources' mutual fund expected returns. We can calculate the autocorrelation of Gmo Resources returns to help us make a trade decision. For example, suppose you find that Gmo Resources 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 Resources 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 Resources mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Gmo Resources 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 Resources mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Gmo Resources Lagged Returns
When evaluating Gmo Resources' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Gmo Resources mutual fund have on its future price. Gmo Resources 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 Resources autocorrelation shows the relationship between Gmo Resources mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Gmo Resources Fund.
Regressed Prices |
| Timeline |
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| TRX | TRON | |
| BNB | Binance Coin |
Other Information on Investing in Gmo Mutual Fund
Gmo Resources 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 Resources security.
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