Bond Fund Of Fund Probability of Future Mutual Fund Price Finishing Over 10.99

BFAFX Fund  USD 10.99  0.01  0.09%   
Bond Fund's future price is the expected price of Bond Fund 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 Bond Fund Of performance during a given time horizon utilizing its historical volatility. Check out Bond Fund Backtesting, Portfolio Optimization, Bond Fund Correlation, Bond Fund Hype Analysis, Bond Fund Volatility, Bond Fund History as well as Bond Fund Performance.
  
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Bond Fund Target Price Odds to finish over 10.99

The tendency of Bond 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
 10.99 90 days 10.99 
about 99.0
Based on a normal probability distribution, the odds of Bond Fund to move above the current price in 90 days from now is about 99.0 (This Bond Fund Of probability density function shows the probability of Bond Mutual Fund to fall within a particular range of prices over 90 days) .
Assuming the 90 days horizon Bond Fund has a beta of 0.25 suggesting as returns on the market go up, Bond Fund average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding Bond Fund Of will be expected to be much smaller as well. Additionally Bond Fund Of has a negative alpha, implying that the risk taken by holding this instrument is not justified. The company is significantly underperforming the NYSE Composite.
   Bond Fund Price Density   
       Price  

Predictive Modules for Bond Fund

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Bond Fund. 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 Bond Fund'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
10.5310.9411.35
Details
Intrinsic
Valuation
LowRealHigh
10.6211.0311.44
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Bond Fund. Your research has to be compared to or analyzed against Bond Fund's peers to derive any actionable benefits. When done correctly, Bond Fund'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 Bond Fund.

Bond Fund Risk Indicators

For the most part, the last 10-20 years have been a very volatile time for the stock market. Bond Fund is not an exception. The market had few large corrections towards the Bond Fund'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 Bond Fund Of, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Bond Fund within the framework of very fundamental risk indicators.
α
Alpha over NYSE Composite
-0.06
β
Beta against NYSE Composite0.25
σ
Overall volatility
0.09
Ir
Information ratio -0.29

Bond Fund 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 Bond Fund for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Bond Fund can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.
Bond Fund generated a negative expected return over the last 90 days
The fund generated three year return of -4.0%
Bond Fund holds about 10.13% of its assets under management (AUM) in fixed income securities

Bond Fund Technical Analysis

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

Bond Fund Predictive Forecast Models

Bond Fund's time-series forecasting models is one of many Bond Fund'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 Bond Fund'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 Bond Fund

Checking the ongoing alerts about Bond Fund for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Bond Fund help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
Bond Fund generated a negative expected return over the last 90 days
The fund generated three year return of -4.0%
Bond Fund holds about 10.13% of its assets under management (AUM) in fixed income securities
Check out Bond Fund Backtesting, Portfolio Optimization, Bond Fund Correlation, Bond Fund Hype Analysis, Bond Fund Volatility, Bond Fund History as well as Bond Fund Performance.
Note that the Bond Fund information on this page should be used as a complementary analysis to other Bond Fund'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 Risk-Return Analysis module to view associations between returns expected from investment and the risk you assume.
Please note, there is a significant difference between Bond Fund's value and its price as these two are different measures arrived at by different means. Investors typically determine if Bond Fund is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Bond Fund'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.