Gmo Resources Fund Market Value
GOFIX Fund | USD 22.03 0.18 0.82% |
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.
02/27/2024 |
| 03/28/2024 |
If you would invest 0.00 in Gmo Resources on February 27, 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 30 days. Gmo Resources is related to or competes with USCF Gold, Gmo E, Gmo Us, Gmo Global, Gmo Quality, Gmo-usonian Japan, and Gmo-usonian Japan. Under normal market conditions, the fund invests at least 80 percent of its assets in the securities of companies in tha... 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 | (0.17) | |||
Maximum Drawdown | 5.04 | |||
Value At Risk | (2.09) | |||
Potential Upside | 1.88 |
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 | (0.02) | |||
Jensen Alpha | (0.26) | |||
Total Risk Alpha | (0.33) | |||
Treynor Ratio | (0.04) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Gmo Resources' 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 Resources Fund Backtested Returns
Gmo Resources Fund holds Efficiency (Sharpe) Ratio of -0.0531, which attests that the entity had a -0.0531% return per unit of risk over the last 3 months. Gmo Resources Fund 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 (0.03), standard deviation of 1.16, and Risk Adjusted Performance of (0.02) to validate the risk estimate we provide. The fund retains a Market Volatility (i.e., Beta) of 1.56, which attests to a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Gmo Resources will likely underperform.
Auto-correlation | 0.50 |
Modest predictability
Gmo Resources Fund has modest predictability. Overlapping area represents the amount of predictability between Gmo Resources time series from 27th of February 2024 to 13th of March 2024 and 13th of March 2024 to 28th of March 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 Resources Fund price movement. The serial correlation of 0.5 indicates that about 50.0% of current Gmo Resources price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.5 | |
Spearman Rank Test | 0.78 | |
Residual Average | 0.0 | |
Price Variance | 0.09 |
Gmo Resources Fund 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 |
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Gmo Resources in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Gmo Resources' short interest history, or implied volatility extrapolated from Gmo Resources options trading.
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Complementary Tools for Gmo Mutual Fund analysis
When running Gmo Resources' price analysis, check to measure Gmo Resources' market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Gmo Resources is operating at the current time. Most of Gmo Resources' value examination focuses on studying past and present price action to predict the probability of Gmo Resources' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Gmo Resources' price. Additionally, you may evaluate how the addition of Gmo Resources to your portfolios can decrease your overall portfolio volatility.
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Gmo Resources 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.