Equity Series Class Fund Probability of Future Mutual Fund Price Finishing Over 17.02

EXEYX Fund  USD 16.99  0.04  0.24%   
Equity Series' future price is the expected price of Equity Series 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 Equity Series Class performance during a given time horizon utilizing its historical volatility. Check out Equity Series Backtesting, Portfolio Optimization, Equity Series Correlation, Equity Series Hype Analysis, Equity Series Volatility, Equity Series History as well as Equity Series Performance.
  
Please specify Equity Series' target price for which you would like Equity Series odds to be computed.

Equity Series Target Price Odds to finish over 17.02

The tendency of Equity 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 $ 17.02  or more in 90 days
 16.99 90 days 17.02 
roughly 2.28
Based on a normal probability distribution, the odds of Equity Series to move over $ 17.02  or more in 90 days from now is roughly 2.28 (This Equity Series Class probability density function shows the probability of Equity Mutual Fund to fall within a particular range of prices over 90 days) . Probability of Equity Series Class price to stay between its current price of $ 16.99  and $ 17.02  at the end of the 90-day period is near 1 .
Assuming the 90 days horizon Equity Series has a beta of 0.74 suggesting as returns on the market go up, Equity Series average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding Equity Series Class will be expected to be much smaller as well. Additionally Equity Series Class has an alpha of 0.0026, implying that it can generate a 0.002563 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta).
   Equity Series Price Density   
       Price  

Predictive Modules for Equity Series

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Equity Series Class. 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 Equity Series' 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
16.3116.9917.67
Details
Intrinsic
Valuation
LowRealHigh
16.1316.8117.49
Details
Naive
Forecast
LowNextHigh
16.2616.9417.63
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
16.4716.8217.17
Details

Equity Series Risk Indicators

For the most part, the last 10-20 years have been a very volatile time for the stock market. Equity Series is not an exception. The market had few large corrections towards the Equity Series' 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 Equity Series Class, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Equity Series within the framework of very fundamental risk indicators.
α
Alpha over Dow Jones
0
β
Beta against Dow Jones0.74
σ
Overall volatility
0.38
Ir
Information ratio -0.04

Equity Series 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 Equity Series for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Equity Series Class 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 98.25% of its assets under management (AUM) in equities

Equity Series Technical Analysis

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

Equity Series Predictive Forecast Models

Equity Series' time-series forecasting models is one of many Equity Series' 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 Equity Series' 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 Equity Series Class

Checking the ongoing alerts about Equity Series for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Equity Series Class 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 98.25% of its assets under management (AUM) in equities

Other Information on Investing in Equity Mutual Fund

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