Fidelity Investment Grade Fund Probability of Future Mutual Fund Price Finishing Under 7.18

FBNDX Fund  USD 7.23  0.01  0.14%   
Fidelity Investment's future price is the expected price of Fidelity Investment 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 Fidelity Investment Grade performance during a given time horizon utilizing its historical volatility. Check out Fidelity Investment Backtesting, Portfolio Optimization, Fidelity Investment Correlation, Fidelity Investment Hype Analysis, Fidelity Investment Volatility, Fidelity Investment History as well as Fidelity Investment Performance.
  
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Fidelity Investment Target Price Odds to finish below 7.18

The tendency of Fidelity 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 drop to $ 7.18  or more in 90 days
 7.23 90 days 7.18 
about 19.58
Based on a normal probability distribution, the odds of Fidelity Investment to drop to $ 7.18  or more in 90 days from now is about 19.58 (This Fidelity Investment Grade probability density function shows the probability of Fidelity Mutual Fund to fall within a particular range of prices over 90 days) . Probability of Fidelity Investment Grade price to stay between $ 7.18  and its current price of $7.23 at the end of the 90-day period is about 20.37 .
Assuming the 90 days horizon Fidelity Investment Grade has a beta of -0.0396. This usually indicates as returns on the benchmark increase, returns on holding Fidelity Investment are expected to decrease at a much lower rate. During a bear market, however, Fidelity Investment Grade is likely to outperform the market. Additionally Fidelity Investment Grade 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.
   Fidelity Investment Price Density   
       Price  

Predictive Modules for Fidelity Investment

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Fidelity Investment Grade. 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 Fidelity Investment'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
6.907.237.56
Details
Intrinsic
Valuation
LowRealHigh
6.666.997.32
Details
Naive
Forecast
LowNextHigh
6.927.257.58
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
7.227.247.27
Details

Fidelity Investment Risk Indicators

For the most part, the last 10-20 years have been a very volatile time for the stock market. Fidelity Investment is not an exception. The market had few large corrections towards the Fidelity Investment'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 Fidelity Investment Grade, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Fidelity Investment within the framework of very fundamental risk indicators.
α
Alpha over Dow Jones
-0.03
β
Beta against Dow Jones-0.04
σ
Overall volatility
0.08
Ir
Information ratio -0.46

Fidelity Investment 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 Fidelity Investment for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Fidelity Investment Grade can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.
Fidelity Investment generated a negative expected return over the last 90 days
Latest headline from news.google.com: Fidelity Investment Grade Bond Fund Q3 2024 Review - Seeking Alpha
The fund generated three year return of -2.0%
Fidelity Investment Grade retains about 11.81% of its assets under management (AUM) in fixed income securities

Fidelity Investment Technical Analysis

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

Fidelity Investment Predictive Forecast Models

Fidelity Investment's time-series forecasting models is one of many Fidelity Investment'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 Fidelity Investment'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 Fidelity Investment Grade

Checking the ongoing alerts about Fidelity Investment for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Fidelity Investment Grade help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
Fidelity Investment generated a negative expected return over the last 90 days
Latest headline from news.google.com: Fidelity Investment Grade Bond Fund Q3 2024 Review - Seeking Alpha
The fund generated three year return of -2.0%
Fidelity Investment Grade retains about 11.81% of its assets under management (AUM) in fixed income securities

Other Information on Investing in Fidelity Mutual Fund

Fidelity Investment financial ratios help investors to determine whether Fidelity 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 Fidelity with respect to the benefits of owning Fidelity Investment security.
Money Flow Index
Determine momentum by analyzing Money Flow Index and other technical indicators
Portfolio Rebalancing
Analyze risk-adjusted returns against different time horizons to find asset-allocation targets