Income Fund Of Fund Probability of Future Mutual Fund Price Finishing Under 22.65
AMEFX Fund | USD 24.58 0.04 0.16% |
Income |
Income Fund Target Price Odds to finish below 22.65
The tendency of Income 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 drop to $ 22.65 or more in 90 days |
24.58 | 90 days | 22.65 | near 1 |
Based on a normal probability distribution, the odds of Income Fund to drop to $ 22.65 or more in 90 days from now is near 1 (This Income Fund Of probability density function shows the probability of Income Mutual Fund to fall within a particular range of prices over 90 days) . Probability of Income Fund price to stay between $ 22.65 and its current price of $24.58 at the end of the 90-day period is near 1 .
Assuming the 90 days horizon Income Fund has a beta of 0.16. This suggests as returns on the market go up, Income Fund average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding Income Fund Of will be expected to be much smaller as well. Additionally Income Fund Of 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. Income Fund Price Density |
Price |
Predictive Modules for Income Fund
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Income 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.Income Fund Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Income Fund is not an exception. The market had few large corrections towards the Income Fund'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 Income Fund Of, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Income Fund within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | -0.09 | |
β | Beta against Dow Jones | 0.16 | |
σ | Overall volatility | 0.51 | |
Ir | Information ratio | -0.19 |
Income Fund 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 Income Fund for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Income 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.Income Fund generated a negative expected return over the last 90 days | |
The fund holds about 20.12% of its assets under management (AUM) in fixed income securities |
Income Fund Technical Analysis
Income Fund's future price can be derived by breaking down and analyzing its technical indicators over time. Income Mutual Fund technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Income Fund Of. In general, you should focus on analyzing Income Mutual Fund price patterns and their correlations with different microeconomic environments and drivers.
Income Fund Predictive Forecast Models
Income Fund's time-series forecasting models is one of many Income Fund'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 Income Fund'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 Income Fund
Checking the ongoing alerts about Income Fund for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Income Fund help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
Income Fund generated a negative expected return over the last 90 days | |
The fund holds about 20.12% of its assets under management (AUM) in fixed income securities |
Other Information on Investing in Income Mutual Fund
Income Fund financial ratios help investors to determine whether Income 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 Income with respect to the benefits of owning Income Fund security.
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Portfolio Volatility Check portfolio volatility and analyze historical return density to properly model market risk |