Mfs Series Trust Fund Probability of Future Mutual Fund Price Finishing Over 14.87

MKVHX Fund  USD 14.12  0.01  0.07%   
Mfs Series' future price is the expected price of Mfs 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 Mfs Series Trust performance during a given time horizon utilizing its historical volatility. Check out Mfs Series Backtesting, Portfolio Optimization, Mfs Series Correlation, Mfs Series Hype Analysis, Mfs Series Volatility, Mfs Series History as well as Mfs Series Performance.
  
Please specify Mfs Series' target price for which you would like Mfs Series odds to be computed.

Mfs Series Target Price Odds to finish over 14.87

The tendency of Mfs 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 $ 14.87  or more in 90 days
 14.12 90 days 14.87 
about 14.88
Based on a normal probability distribution, the odds of Mfs Series to move over $ 14.87  or more in 90 days from now is about 14.88 (This Mfs Series Trust probability density function shows the probability of Mfs Mutual Fund to fall within a particular range of prices over 90 days) . Probability of Mfs Series Trust price to stay between its current price of $ 14.12  and $ 14.87  at the end of the 90-day period is about 83.25 .
Assuming the 90 days horizon Mfs Series Trust has a beta of -0.15. This indicates as returns on the benchmark increase, returns on holding Mfs Series are expected to decrease at a much lower rate. During a bear market, however, Mfs Series Trust is likely to outperform the market. Additionally Mfs Series Trust 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.
   Mfs Series Price Density   
       Price  

Predictive Modules for Mfs 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 Mfs Series Trust. 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.
Hype
Prediction
LowEstimatedHigh
13.3714.1214.87
Details
Intrinsic
Valuation
LowRealHigh
13.5014.2515.00
Details
Naive
Forecast
LowNextHigh
13.1413.9014.65
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
14.1114.1214.13
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Mfs Series. Your research has to be compared to or analyzed against Mfs Series' peers to derive any actionable benefits. When done correctly, Mfs Series' 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 Mfs Series Trust.

Mfs Series Risk Indicators

For the most part, the last 10-20 years have been a very volatile time for the stock market. Mfs Series is not an exception. The market had few large corrections towards the Mfs 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 Mfs Series Trust, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Mfs Series within the framework of very fundamental risk indicators.
α
Alpha over Dow Jones
-0.04
β
Beta against Dow Jones-0.15
σ
Overall volatility
0.24
Ir
Information ratio -0.23

Mfs 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 Mfs Series for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Mfs Series Trust can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.
Mfs Series Trust generated a negative expected return over the last 90 days
The fund maintains 98.54% of its assets in stocks

Mfs Series Technical Analysis

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

Mfs Series Predictive Forecast Models

Mfs Series' time-series forecasting models is one of many Mfs 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 Mfs 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 Mfs Series Trust

Checking the ongoing alerts about Mfs Series for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Mfs Series Trust help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
Mfs Series Trust generated a negative expected return over the last 90 days
The fund maintains 98.54% of its assets in stocks

Other Information on Investing in Mfs Mutual Fund

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