Floating Rate Fund Probability of Future Mutual Fund Price Finishing Over 8.41

LFRAX Fund  USD 8.17  0.01  0.12%   
Floating Rate's future price is the expected price of Floating Rate 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 Floating Rate Fund performance during a given time horizon utilizing its historical volatility. Check out Floating Rate Backtesting, Portfolio Optimization, Floating Rate Correlation, Floating Rate Hype Analysis, Floating Rate Volatility, Floating Rate History as well as Floating Rate Performance.
  
Please specify Floating Rate's target price for which you would like Floating Rate odds to be computed.

Floating Rate Target Price Odds to finish over 8.41

The tendency of Floating 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 $ 8.41  or more in 90 days
 8.17 90 days 8.41 
near 1
Based on a normal probability distribution, the odds of Floating Rate to move over $ 8.41  or more in 90 days from now is near 1 (This Floating Rate Fund probability density function shows the probability of Floating Mutual Fund to fall within a particular range of prices over 90 days) . Probability of Floating Rate price to stay between its current price of $ 8.17  and $ 8.41  at the end of the 90-day period is about 6.83 .
Assuming the 90 days horizon Floating Rate has the beta coefficient that is very close to zero. This indicates the returns on NYSE COMPOSITE and Floating Rate do not appear to be sensitive. Additionally It does not look like Floating Rate's alpha can have any bearing on the current valuation.
   Floating Rate Price Density   
       Price  

Predictive Modules for Floating Rate

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as 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.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Floating Rate's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Hype
Prediction
LowEstimatedHigh
8.008.168.32
Details
Intrinsic
Valuation
LowRealHigh
7.998.158.31
Details
Naive
Forecast
LowNextHigh
8.028.188.34
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
7.958.088.22
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Floating Rate. Your research has to be compared to or analyzed against Floating Rate's peers to derive any actionable benefits. When done correctly, Floating Rate'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 Floating Rate.

Floating Rate Risk Indicators

For the most part, the last 10-20 years have been a very volatile time for the stock market. Floating Rate is not an exception. The market had few large corrections towards the Floating Rate'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 Floating Rate Fund, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Floating Rate within the framework of very fundamental risk indicators.
α
Alpha over NYSE Composite
0.00
β
Beta against NYSE Composite0.00
σ
Overall volatility
0.07
Ir
Information ratio -0.27

Floating Rate 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 Floating Rate for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for 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 maintains about 8.8% of its assets in cash

Floating Rate Technical Analysis

Floating Rate's future price can be derived by breaking down and analyzing its technical indicators over time. Floating Mutual Fund technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Floating Rate Fund. In general, you should focus on analyzing Floating Mutual Fund price patterns and their correlations with different microeconomic environments and drivers.

Floating Rate Predictive Forecast Models

Floating Rate's time-series forecasting models is one of many Floating Rate'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 Floating Rate'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 Floating Rate

Checking the ongoing alerts about Floating Rate for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for 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 maintains about 8.8% of its assets in cash
Check out Floating Rate Backtesting, Portfolio Optimization, Floating Rate Correlation, Floating Rate Hype Analysis, Floating Rate Volatility, Floating Rate History as well as Floating Rate Performance.
Note that the Floating Rate information on this page should be used as a complementary analysis to other Floating Rate's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Portfolio Dashboard module to portfolio dashboard that provides centralized access to all your investments.
Please note, there is a significant difference between Floating Rate's value and its price as these two are different measures arrived at by different means. Investors typically determine if Floating Rate is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Floating Rate's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.