Short Term Fund C Fund Probability of Future Mutual Fund Price Finishing Under 9.7

PFTCX Fund  USD 9.67  0.01  0.10%   
Short Term's future price is the expected price of Short Term 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 Short Term Fund C performance during a given time horizon utilizing its historical volatility. Check out Short Term Backtesting, Portfolio Optimization, Short Term Correlation, Short Term Hype Analysis, Short Term Volatility, Short Term History as well as Short Term Performance.
  
Please specify Short Term's target price for which you would like Short Term odds to be computed.

Short Term Target Price Odds to finish below 9.7

The tendency of Short 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 stay under $ 9.70  after 90 days
 9.67 90 days 9.70 
about 99.0
Based on a normal probability distribution, the odds of Short Term to stay under $ 9.70  after 90 days from now is about 99.0 (This Short Term Fund C probability density function shows the probability of Short Mutual Fund to fall within a particular range of prices over 90 days) . Probability of Short Term Fund price to stay between its current price of $ 9.67  and $ 9.70  at the end of the 90-day period is nearly 4.38 .
Assuming the 90 days horizon Short Term Fund C has a beta of -0.0094 indicating as returns on the benchmark increase, returns on holding Short Term are expected to decrease at a much lower rate. During a bear market, however, Short Term Fund C is likely to outperform the market. Additionally Short Term Fund C has an alpha of 0.0148, implying that it can generate a 0.0148 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta).
   Short Term Price Density   
       Price  

Predictive Modules for Short Term

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Short Term 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 Short Term'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
9.579.679.77
Details
Intrinsic
Valuation
LowRealHigh
9.609.709.80
Details
Naive
Forecast
LowNextHigh
9.569.669.75
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
9.659.669.67
Details

Short Term Risk Indicators

For the most part, the last 10-20 years have been a very volatile time for the stock market. Short Term is not an exception. The market had few large corrections towards the Short Term'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 Short Term Fund C, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Short Term within the framework of very fundamental risk indicators.
α
Alpha over Dow Jones
0.01
β
Beta against Dow Jones-0.0094
σ
Overall volatility
0.04
Ir
Information ratio -1.13

Short Term 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 Short Term for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Short Term 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.
The fund maintains about 13.44% of its assets in cash

Short Term Price Density Drivers

Market volatility will typically increase when nervous long traders begin to feel the short-sellers pressure to drive the market lower. The future price of Short Mutual Fund often depends not only on the future outlook of the current and potential Short Term's investors but also on the ongoing dynamics between investors with different trading styles. Because the market risk indicators may have small false signals, it is better to identify suitable times to hedge a portfolio using different long/short signals. Short Term's indicators that are reflective of the short sentiment are summarized in the table below.

Short Term Technical Analysis

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

Short Term Predictive Forecast Models

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

Checking the ongoing alerts about Short Term for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Short Term Fund 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 13.44% of its assets in cash

Other Information on Investing in Short Mutual Fund

Short Term financial ratios help investors to determine whether Short 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 Short with respect to the benefits of owning Short Term security.
Money Managers
Screen money managers from public funds and ETFs managed around the world
Global Correlations
Find global opportunities by holding instruments from different markets
Options Analysis
Analyze and evaluate options and option chains as a potential hedge for your portfolios
Price Ceiling Movement
Calculate and plot Price Ceiling Movement for different equity instruments