Guggenheim Floating Rate Fund Probability of Future Mutual Fund Price Finishing Under 24.07
| GIFAX Fund | USD 24.24 0.01 0.04% |
Guggenheim |
Guggenheim Floating Target Price Odds to finish below 24.07
The tendency of Guggenheim 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 $ 24.07 or more in 90 days |
| 24.24 | 90 days | 24.07 | about 53.97 |
Based on a normal probability distribution, the odds of Guggenheim Floating to drop to $ 24.07 or more in 90 days from now is about 53.97 (This Guggenheim Floating Rate probability density function shows the probability of Guggenheim Mutual Fund to fall within a particular range of prices over 90 days) . Probability of Guggenheim Floating Rate price to stay between $ 24.07 and its current price of $24.24 at the end of the 90-day period is about 35.58 .
Assuming the 90 days horizon Guggenheim Floating has a beta of 0.0112. This usually indicates as returns on the market go up, Guggenheim Floating average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding Guggenheim Floating Rate will be expected to be much smaller as well. Additionally Guggenheim Floating Rate has an alpha of 0.0203, implying that it can generate a 0.0203 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). Guggenheim Floating Price Density |
| Price |
Predictive Modules for Guggenheim 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 Guggenheim 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.Guggenheim Floating Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Guggenheim Floating is not an exception. The market had few large corrections towards the Guggenheim 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 Guggenheim Floating Rate, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Guggenheim Floating within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.02 | |
β | Beta against Dow Jones | 0.01 | |
σ | Overall volatility | 0.14 | |
Ir | Information ratio | -0.68 |
Guggenheim 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 Guggenheim Floating for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Guggenheim 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.| The fund retains about 20.78% of its assets under management (AUM) in fixed income securities |
Guggenheim Floating Technical Analysis
Guggenheim Floating's future price can be derived by breaking down and analyzing its technical indicators over time. Guggenheim Mutual Fund technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Guggenheim Floating Rate. In general, you should focus on analyzing Guggenheim Mutual Fund price patterns and their correlations with different microeconomic environments and drivers.
Guggenheim Floating Predictive Forecast Models
Guggenheim Floating's time-series forecasting models is one of many Guggenheim 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 Guggenheim 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 Guggenheim Floating Rate
Checking the ongoing alerts about Guggenheim Floating for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Guggenheim Floating Rate help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
| The fund retains about 20.78% of its assets under management (AUM) in fixed income securities |
Other Information on Investing in Guggenheim Mutual Fund
Guggenheim Floating financial ratios help investors to determine whether Guggenheim 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 Guggenheim with respect to the benefits of owning Guggenheim Floating security.
| Equity Forecasting Use basic forecasting models to generate price predictions and determine price momentum | |
| Top Crypto Exchanges Search and analyze digital assets across top global cryptocurrency exchanges | |
| Sync Your Broker Sync your existing holdings, watchlists, positions or portfolios from thousands of online brokerage services, banks, investment account aggregators and robo-advisors. | |
| Bonds Directory Find actively traded corporate debentures issued by US companies |