Power Floating Rate Fund Probability of Future Mutual Fund Price Finishing Over 10.21
| FLOAX Fund | USD 10.04 0.01 0.1% |
Power |
Power Floating Target Price Odds to finish over 10.21
The tendency of Power 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 $ 10.21 or more in 90 days |
| 10.04 | 90 days | 10.21 | near 1 |
Based on a normal probability distribution, the odds of Power Floating to move over $ 10.21 or more in 90 days from now is near 1 (This Power Floating Rate probability density function shows the probability of Power Mutual Fund to fall within a particular range of prices over 90 days) . Probability of Power Floating Rate price to stay between its current price of $ 10.04 and $ 10.21 at the end of the 90-day period is under 4.
Assuming the 90 days horizon Power Floating has a beta of 0.0276. This usually indicates as returns on the market go up, Power Floating average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding Power Floating Rate will be expected to be much smaller as well. Additionally Power Floating Rate has an alpha of 0.0183, implying that it can generate a 0.0183 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). Power Floating Price Density |
| Price |
Predictive Modules for Power Floating
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Power Floating Rate. 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.Power Floating Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Power Floating is not an exception. The market had few large corrections towards the Power Floating'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 Power Floating Rate, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Power Floating within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.02 | |
β | Beta against Dow Jones | 0.03 | |
σ | Overall volatility | 0.06 | |
Ir | Information ratio | -1.45 |
Power Floating 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 Power Floating for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Power Floating Rate can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.| Power is showing solid risk-adjusted performance over 90 days | |
| The fund retains about 21.39% of its assets under management (AUM) in cash |
Power Floating Technical Analysis
Power Floating's future price can be derived by breaking down and analyzing its technical indicators over time. Power Mutual Fund technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Power Floating Rate. In general, you should focus on analyzing Power Mutual Fund price patterns and their correlations with different microeconomic environments and drivers.
Power Floating Predictive Forecast Models
Power Floating's time-series forecasting models is one of many Power Floating'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 Power Floating'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 Power Floating Rate
Checking the ongoing alerts about Power Floating for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Power Floating Rate help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
| Power is showing solid risk-adjusted performance over 90 days | |
| The fund retains about 21.39% of its assets under management (AUM) in cash |
Other Information on Investing in Power Mutual Fund
Power Floating financial ratios help investors to determine whether Power 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 Power with respect to the benefits of owning Power Floating security.
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