Ginnie Mae Fund Probability of Future Mutual Fund Price Finishing Over 8.84
| BGNMX Fund | USD 8.84 0.03 0.34% |
Ginnie |
Ginnie Mae Target Price Odds to finish over 8.84
The tendency of Ginnie 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 above the current price in 90 days |
| 8.84 | 90 days | 8.84 | about 84.13 |
Based on a normal probability distribution, the odds of Ginnie Mae to move above the current price in 90 days from now is about 84.13 (This Ginnie Mae Fund probability density function shows the probability of Ginnie Mutual Fund to fall within a particular range of prices over 90 days) .
Assuming the 90 days horizon Ginnie Mae has a beta of 0.0918 suggesting as returns on the market go up, Ginnie Mae average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding Ginnie Mae Fund will be expected to be much smaller as well. Additionally Ginnie Mae Fund 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. Ginnie Mae Price Density |
| Price |
Predictive Modules for Ginnie Mae
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Ginnie Mae Fund. 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.Ginnie Mae Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Ginnie Mae is not an exception. The market had few large corrections towards the Ginnie Mae'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 Ginnie Mae Fund, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Ginnie Mae within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | -0.07 | |
β | Beta against Dow Jones | 0.09 | |
σ | Overall volatility | 0.11 | |
Ir | Information ratio | -0.43 |
Ginnie Mae Alerts and Suggestions
In today's market, stock alerts give investors the competitive edge they need to time the market and increase returns. Checking the ongoing alerts of Ginnie Mae for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Ginnie Mae Fund can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.| Ginnie Mae Fund generated a negative expected return over the last 90 days | |
| Ginnie Mae Fund generated five year return of -1.0% | |
| This fund holds most of the assets under management (AUM) in different types of exotic instruments. |
Ginnie Mae Technical Analysis
Ginnie Mae's future price can be derived by breaking down and analyzing its technical indicators over time. Ginnie Mutual Fund technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Ginnie Mae Fund. In general, you should focus on analyzing Ginnie Mutual Fund price patterns and their correlations with different microeconomic environments and drivers.
Ginnie Mae Predictive Forecast Models
Ginnie Mae's time-series forecasting models is one of many Ginnie Mae'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 Ginnie Mae'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.
Things to note about Ginnie Mae Fund
Checking the ongoing alerts about Ginnie Mae for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Ginnie Mae Fund help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
| Ginnie Mae Fund generated a negative expected return over the last 90 days | |
| Ginnie Mae Fund generated five year return of -1.0% | |
| This fund holds most of the assets under management (AUM) in different types of exotic instruments. |
Other Information on Investing in Ginnie Mutual Fund
Ginnie Mae financial ratios help investors to determine whether Ginnie 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 Ginnie with respect to the benefits of owning Ginnie Mae security.
| Risk-Return Analysis View associations between returns expected from investment and the risk you assume | |
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| Correlation Analysis Reduce portfolio risk simply by holding instruments which are not perfectly correlated |