Gmo Trust Fund Probability of Future Mutual Fund Price Finishing Over 12.76
| GMOYX Fund | 12.87 0.13 1.02% |
Gmo |
Gmo Trust Target Price Odds to finish over 12.76
The tendency of Gmo Mutual Fund price to converge on an average value over time is a known aspect in finance that investors have used since the beginning of the stock market for forecasting. However, many studies suggest that some traded equity instruments are consistently mispriced before traders' demand and supply correct the spread. One possible conclusion to this anomaly is that these stocks have additional risk, for which investors demand compensation in the form of extra returns.
| Current Price | Horizon | Target Price | Odds to stay above 12.76 in 90 days |
| 12.87 | 90 days | 12.76 | about 84.13 |
Based on a normal probability distribution, the odds of Gmo Trust to stay above 12.76 in 90 days from now is about 84.13 (This Gmo Trust probability density function shows the probability of Gmo Mutual Fund to fall within a particular range of prices over 90 days) . Probability of Gmo Trust price to stay between 12.76 and its current price of 12.87 at the end of the 90-day period is about 5.66 .
Assuming the 90 days horizon Gmo Trust has a beta of -0.0142. This usually indicates as returns on the benchmark increase, returns on holding Gmo Trust are expected to decrease at a much lower rate. During a bear market, however, Gmo Trust is likely to outperform the market. Additionally Gmo Trust has a negative alpha, implying that the risk taken by holding this instrument is not justified. The company is significantly underperforming the Dow Jones Industrial. Gmo Trust Price Density |
| Price |
Predictive Modules for Gmo Trust
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Gmo Trust. Regardless of method or technology, however, to accurately forecast the mutual fund market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the mutual fund market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Gmo Trust'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 Trust Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Gmo Trust is not an exception. The market had few large corrections towards the Gmo Trust's value, including both sudden drops in prices as well as massive rallies. These swings have made and broken many portfolios. An investor can limit the violent swings in their portfolio by implementing a hedging strategy designed to limit downside losses. If you hold Gmo Trust , one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Gmo Trust within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | -0.09 | |
β | Beta against Dow Jones | -0.01 | |
σ | Overall volatility | 0.52 | |
Ir | Information ratio | -0.12 |
Gmo Trust Technical Analysis
Gmo Trust's future price can be derived by breaking down and analyzing its technical indicators over time. Gmo Mutual Fund technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Gmo Trust . In general, you should focus on analyzing Gmo Mutual Fund price patterns and their correlations with different microeconomic environments and drivers.
Gmo Trust Predictive Forecast Models
Gmo Trust's time-series forecasting models is one of many Gmo Trust's mutual fund analysis techniques aimed to predict future share value based on previously observed values. Time-series forecasting models are widely used for non-stationary data. Non-stationary data are called the data whose statistical properties, e.g., the mean and standard deviation, are not constant over time, but instead, these metrics vary over time. This non-stationary Gmo Trust's historical data is usually called time series. Some empirical experimentation suggests that the statistical forecasting models outperform the models based exclusively on fundamental analysis to predict the direction of the mutual fund market movement and maximize returns from investment trading.
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 Trust 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 Trust's short interest history, or implied volatility extrapolated from Gmo Trust options trading.
Other Information on Investing in Gmo Mutual Fund
Gmo Trust 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 Trust security.
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