Gmo Opportunistic Value Fund Market Value
| PPAJX Fund | 21.62 0.05 0.23% |
| Symbol | Gmo |
Gmo Us '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 Us' 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 Us.
| 12/10/2024 |
| 01/09/2025 |
If you would invest 0.00 in Gmo Us on December 10, 2024 and sell it all today you would earn a total of 0.00 from holding Gmo Opportunistic Value or generate 0.0% return on investment in Gmo Us over 30 days. Gmo Us is related to or competes with Sp Smallcap, Kinetics Small, Small Pany, Tax-managed, Praxis Small, Touchstone Small, and Artisan Small. The fund seeks to achieve the funds investment objective by investing the funds assets primarily in securities traded in... More
Gmo Us 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 Us' 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 Value upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.13) | |||
| Maximum Drawdown | 12.79 | |||
| Value At Risk | (1.26) | |||
| Potential Upside | 1.21 |
Gmo Us Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Gmo Us' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Gmo Us' standard deviation. In reality, there are many statistical measures that can use Gmo Us historical prices to predict the future Gmo Us' volatility.| Risk Adjusted Performance | (0.08) | |||
| Jensen Alpha | (0.16) | |||
| Total Risk Alpha | (0.19) | |||
| Treynor Ratio | (0.46) |
Gmo Opportunistic Value Backtested Returns
Gmo Opportunistic Value 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 Opportunistic Value exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out Gmo Us' Risk Adjusted Performance of (0.08), market risk adjusted performance of (0.45), and Standard Deviation of 1.37 to validate the risk estimate we provide. The fund retains a Market Volatility (i.e., Beta) of 0.34, which attests to possible diversification benefits within a given portfolio. As returns on the market increase, Gmo Us' returns are expected to increase less than the market. However, during the bear market, the loss of holding Gmo Us is expected to be smaller as well.
Auto-correlation | -0.49 |
Modest reverse predictability
Gmo Opportunistic Value has modest reverse predictability. Overlapping area represents the amount of predictability between Gmo Us time series from 10th of December 2024 to 25th of December 2024 and 25th of December 2024 to 9th 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 Opportunistic Value price movement. The serial correlation of -0.49 indicates that about 49.0% of current Gmo Us price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.49 | |
| Spearman Rank Test | -0.35 | |
| Residual Average | 0.0 | |
| Price Variance | 0.01 |
Gmo Opportunistic Value lagged returns against current returns
Autocorrelation, which is Gmo Us 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 Us' mutual fund expected returns. We can calculate the autocorrelation of Gmo Us returns to help us make a trade decision. For example, suppose you find that Gmo Us 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 Us 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 Us mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Gmo Us 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 Us mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Gmo Us Lagged Returns
When evaluating Gmo Us' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Gmo Us mutual fund have on its future price. Gmo Us 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 Us autocorrelation shows the relationship between Gmo Us mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Gmo Opportunistic Value.
Regressed Prices |
| Timeline |
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| BNB | Binance Coin |
Other Information on Investing in Gmo Mutual Fund
Gmo Us 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 Us security.
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