Guggenheim Managed Futures Fund Probability of Future Mutual Fund Price Finishing Over 20.89

RYIFX Fund  USD 20.65  0.26  1.24%   
Guggenheim Managed's future price is the expected price of Guggenheim Managed 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 Managed Futures performance during a given time horizon utilizing its historical volatility. Check out Guggenheim Managed Backtesting, Portfolio Optimization, Guggenheim Managed Correlation, Guggenheim Managed Hype Analysis, Guggenheim Managed Volatility, Guggenheim Managed History as well as Guggenheim Managed Performance.
  
Please specify Guggenheim Managed's target price for which you would like Guggenheim Managed odds to be computed.

Guggenheim Managed Target Price Odds to finish over 20.89

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 over $ 20.89  or more in 90 days
 20.65 90 days 20.89 
about 60.44
Based on a normal probability distribution, the odds of Guggenheim Managed to move over $ 20.89  or more in 90 days from now is about 60.44 (This Guggenheim Managed Futures probability density function shows the probability of Guggenheim Mutual Fund to fall within a particular range of prices over 90 days) . Probability of Guggenheim Managed price to stay between its current price of $ 20.65  and $ 20.89  at the end of the 90-day period is about 22.97 .
Assuming the 90 days horizon Guggenheim Managed has a beta of 0.36 indicating as returns on the market go up, Guggenheim Managed average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding Guggenheim Managed Futures will be expected to be much smaller as well. Additionally Guggenheim Managed Futures 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.
   Guggenheim Managed Price Density   
       Price  

Predictive Modules for Guggenheim Managed

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 Managed. 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
20.0220.6521.28
Details
Intrinsic
Valuation
LowRealHigh
20.1020.7321.36
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Guggenheim Managed. Your research has to be compared to or analyzed against Guggenheim Managed's peers to derive any actionable benefits. When done correctly, Guggenheim Managed'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 Managed.

Guggenheim Managed Risk Indicators

For the most part, the last 10-20 years have been a very volatile time for the stock market. Guggenheim Managed is not an exception. The market had few large corrections towards the Guggenheim Managed'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 Managed Futures, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Guggenheim Managed within the framework of very fundamental risk indicators.
α
Alpha over Dow Jones
-0.13
β
Beta against Dow Jones0.36
σ
Overall volatility
0.34
Ir
Information ratio -0.34

Guggenheim Managed 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 Managed for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Guggenheim Managed can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.
Guggenheim Managed generated a negative expected return over the last 90 days
The fund generated-1.0 ten year return of -1.0%
Guggenheim Managed maintains about 49.73% of its assets in cash

Guggenheim Managed Technical Analysis

Guggenheim Managed'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 Managed Futures. In general, you should focus on analyzing Guggenheim Mutual Fund price patterns and their correlations with different microeconomic environments and drivers.

Guggenheim Managed Predictive Forecast Models

Guggenheim Managed's time-series forecasting models is one of many Guggenheim Managed'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 Managed'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 Managed

Checking the ongoing alerts about Guggenheim Managed for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Guggenheim Managed help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
Guggenheim Managed generated a negative expected return over the last 90 days
The fund generated-1.0 ten year return of -1.0%
Guggenheim Managed maintains about 49.73% of its assets in cash

Other Information on Investing in Guggenheim Mutual Fund

Guggenheim Managed 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 Managed security.
Price Ceiling Movement
Calculate and plot Price Ceiling Movement for different equity instruments
Watchlist Optimization
Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm
Analyst Advice
Analyst recommendations and target price estimates broken down by several categories
Options Analysis
Analyze and evaluate options and option chains as a potential hedge for your portfolios