Telecommunications Portfolio Fidelity Fund Probability of Future Mutual Fund Price Finishing Under 56.68

FTUCX Fund  USD 56.68  0.64  1.14%   
Telecommunications' future price is the expected price of Telecommunications 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 Telecommunications Portfolio Fidelity performance during a given time horizon utilizing its historical volatility. Check out Telecommunications Backtesting, Portfolio Optimization, Telecommunications Correlation, Telecommunications Hype Analysis, Telecommunications Volatility, Telecommunications History as well as Telecommunications Performance.
  
Please specify Telecommunications' target price for which you would like Telecommunications odds to be computed.

Telecommunications Target Price Odds to finish below 56.68

The tendency of Telecommunications 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 below current price in 90 days
 56.68 90 days 56.68 
about 97.0
Based on a normal probability distribution, the odds of Telecommunications to move below current price in 90 days from now is about 97.0 (This Telecommunications Portfolio Fidelity probability density function shows the probability of Telecommunications Mutual Fund to fall within a particular range of prices over 90 days) .
Assuming the 90 days horizon Telecommunications has a beta of 0.56. This usually indicates as returns on the market go up, Telecommunications average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding Telecommunications Portfolio Fidelity will be expected to be much smaller as well. Additionally Telecommunications Portfolio Fidelity has an alpha of 0.1073, implying that it can generate a 0.11 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta).
   Telecommunications Price Density   
       Price  

Predictive Modules for Telecommunications

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Telecommunications. 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 Telecommunications' 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
55.7756.6857.59
Details
Intrinsic
Valuation
LowRealHigh
51.0159.4460.35
Details
Naive
Forecast
LowNextHigh
55.2856.1957.11
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
55.8656.4757.07
Details

Telecommunications Risk Indicators

For the most part, the last 10-20 years have been a very volatile time for the stock market. Telecommunications is not an exception. The market had few large corrections towards the Telecommunications' 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 Telecommunications Portfolio Fidelity, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Telecommunications within the framework of very fundamental risk indicators.
α
Alpha over Dow Jones
0.11
β
Beta against Dow Jones0.56
σ
Overall volatility
1.73
Ir
Information ratio 0.06

Telecommunications 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 Telecommunications for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Telecommunications 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 97.26% of its assets under management (AUM) in equities

Telecommunications Technical Analysis

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

Telecommunications Predictive Forecast Models

Telecommunications' time-series forecasting models is one of many Telecommunications' 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 Telecommunications' 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 Telecommunications

Checking the ongoing alerts about Telecommunications for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Telecommunications 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 97.26% of its assets under management (AUM) in equities

Other Information on Investing in Telecommunications Mutual Fund

Telecommunications financial ratios help investors to determine whether Telecommunications 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 Telecommunications with respect to the benefits of owning Telecommunications security.
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