Guggenheim Floating Rate Fund Probability of Future Mutual Fund Price Finishing Over 24.24

GIFAX Fund  USD 24.24  0.01  0.04%   
Guggenheim Floating's future price is the expected price of Guggenheim Floating instrument. It is based on its current growth rate as well as the projected cash flow expected by the investors. This tool provides a mechanism to make assumptions about the upside potential and downside risk of Guggenheim Floating Rate performance during a given time horizon utilizing its historical volatility. Check out Guggenheim Floating Backtesting, Portfolio Optimization, Guggenheim Floating Correlation, Guggenheim Floating Hype Analysis, Guggenheim Floating Volatility, Guggenheim Floating History as well as Guggenheim Floating Performance.
  
Please specify Guggenheim Floating's target price for which you would like Guggenheim Floating odds to be computed.

Guggenheim Floating Target Price Odds to finish over 24.24

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 PriceHorizonTarget PriceOdds to move above the current price in 90 days
 24.24 90 days 24.24 
about 8.31
Based on a normal probability distribution, the odds of Guggenheim Floating to move above the current price in 90 days from now is about 8.31 (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) .
Assuming the 90 days horizon Guggenheim Floating Rate has a beta of -0.0355. This usually indicates as returns on the benchmark increase, returns on holding Guggenheim Floating are expected to decrease at a much lower rate. During a bear market, however, Guggenheim Floating Rate is likely to outperform the market. Additionally Guggenheim Floating Rate has an alpha of 0.0249, implying that it can generate a 0.0249 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.
Hype
Prediction
LowEstimatedHigh
24.1224.2424.36
Details
Intrinsic
Valuation
LowRealHigh
22.1522.2726.66
Details
Naive
Forecast
LowNextHigh
24.1024.2124.33
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
24.2124.2324.25
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Guggenheim Floating. Your research has to be compared to or analyzed against Guggenheim Floating's peers to derive any actionable benefits. When done correctly, Guggenheim Floating's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in Guggenheim Floating Rate.

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-0.04
σ
Overall volatility
0.13
Ir
Information ratio -0.74

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.
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