Gmo High Yield Fund Odds of Future Mutual Fund Price Finishing Over 18.12
| GMOZX Fund | 18.04 0.03 0.17% |
Gmo |
Gmo High Target Price Odds to finish over 18.12
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 move over 18.12 or more in 90 days |
| 18.04 | 90 days | 18.12 | near 1 |
Based on a normal probability distribution, the odds of Gmo High to move over 18.12 or more in 90 days from now is near 1 (This Gmo High Yield probability density function shows the probability of Gmo Mutual Fund to fall within a particular range of prices over 90 days) . Probability of Gmo High Yield price to stay between its current price of 18.04 and 18.12 at the end of the 90-day period is under 4.
Assuming the 90 days horizon Gmo High has a beta of 0.12. This usually indicates as returns on the market go up, Gmo High average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding Gmo High Yield will be expected to be much smaller as well. Additionally Gmo High Yield has an alpha of 0.0046, implying that it can generate a 0.004641 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). Gmo High Price Density |
| Price |
Predictive Modules for Gmo High
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 High Yield. 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.Gmo High Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Gmo High is not an exception. The market had few large corrections towards the Gmo High'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 High Yield, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Gmo High within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0 | |
β | Beta against Dow Jones | 0.12 | |
σ | Overall volatility | 0.09 | |
Ir | Information ratio | -0.58 |
Gmo High Technical Analysis
Gmo High'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 High Yield. In general, you should focus on analyzing Gmo Mutual Fund price patterns and their correlations with different microeconomic environments and drivers.
Gmo High Predictive Forecast Models
Gmo High's time-series forecasting models is one of many Gmo High'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 High'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 High 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 High's short interest history, or implied volatility extrapolated from Gmo High options trading.
Other Information on Investing in Gmo Mutual Fund
Gmo High 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 High security.
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