Gmo Opportunistic Income Fund Market Value
| GAAAX Fund | USD 23.90 0.04 0.17% |
| Symbol | Gmo |
Gmo Opportunistic '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 Opportunistic'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 Opportunistic.
| 10/21/2023 |
| 04/18/2024 |
If you would invest 0.00 in Gmo Opportunistic on October 21, 2023 and sell it all today you would earn a total of 0.00 from holding Gmo Opportunistic Income or generate 0.0% return on investment in Gmo Opportunistic over 180 days. Gmo Opportunistic is related to or competes with Gmo E, Gmo Quality, Gmo Usonian, Gmo Usonian, Gmo Trust, Gmo Emerging, and Gmo Emerging. The fund invests primarily in securitized credit securities More
Gmo Opportunistic 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 Opportunistic'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 Opportunistic Income upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.1807 | |||
| Information Ratio | (0.31) | |||
| Maximum Drawdown | 0.7929 | |||
| Value At Risk | (0.29) | |||
| Potential Upside | 0.2096 |
Gmo Opportunistic Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Gmo Opportunistic's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Gmo Opportunistic's standard deviation. In reality, there are many statistical measures that can use Gmo Opportunistic historical prices to predict the future Gmo Opportunistic's volatility.| Risk Adjusted Performance | 0.0085 | |||
| Jensen Alpha | (0) | |||
| Total Risk Alpha | (0.01) | |||
| Sortino Ratio | (0.25) | |||
| Treynor Ratio | (0.01) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Gmo Opportunistic'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 Opportunistic Backtested Returns
We consider Gmo Opportunistic very steady. Gmo Opportunistic holds Efficiency (Sharpe) Ratio of 0.0888, which attests that the entity had a 0.0888% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Gmo Opportunistic, which you can use to evaluate the volatility of the entity. Please check out Gmo Opportunistic's Market Risk Adjusted Performance of 0.0044, downside deviation of 0.1807, and Risk Adjusted Performance of 0.0085 to validate if the risk estimate we provide is consistent with the expected return of 0.0135%. The fund retains a Market Volatility (i.e., Beta) of 0.0622, which attests to not very significant fluctuations relative to the market. As returns on the market increase, Gmo Opportunistic's returns are expected to increase less than the market. However, during the bear market, the loss of holding Gmo Opportunistic is expected to be smaller as well.
Auto-correlation | 0.77 |
Good predictability
Gmo Opportunistic Income has good predictability. Overlapping area represents the amount of predictability between Gmo Opportunistic time series from 21st of October 2023 to 19th of January 2024 and 19th of January 2024 to 18th of April 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 Opportunistic price movement. The serial correlation of 0.77 indicates that around 77.0% of current Gmo Opportunistic price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.77 | |
| Spearman Rank Test | 0.78 | |
| Residual Average | 0.0 | |
| Price Variance | 0.01 |
Gmo Opportunistic lagged returns against current returns
Autocorrelation, which is Gmo Opportunistic 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 Opportunistic's mutual fund expected returns. We can calculate the autocorrelation of Gmo Opportunistic returns to help us make a trade decision. For example, suppose you find that Gmo Opportunistic 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 Opportunistic 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 Opportunistic mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Gmo Opportunistic 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 Opportunistic mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Gmo Opportunistic Lagged Returns
When evaluating Gmo Opportunistic's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Gmo Opportunistic mutual fund have on its future price. Gmo Opportunistic 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 Opportunistic autocorrelation shows the relationship between Gmo Opportunistic mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Gmo Opportunistic Income.
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 Opportunistic 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 Opportunistic's short interest history, or implied volatility extrapolated from Gmo Opportunistic options trading.
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Try AI Portfolio ArchitectCheck out Gmo Opportunistic Correlation, Gmo Opportunistic Volatility and Gmo Opportunistic Alpha and Beta module to complement your research on Gmo Opportunistic. Note that the Gmo Opportunistic information on this page should be used as a complementary analysis to other Gmo Opportunistic's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Positions Ratings module to determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance.
Gmo Opportunistic 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.