Mfs Blended Research Fund Probability of Future Mutual Fund Price Finishing Under 10.44

BRKBX Fund  USD 12.80  0.01  0.08%   
Mfs Blended's future price is the expected price of Mfs Blended 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 Blended Research performance during a given time horizon utilizing its historical volatility. Check out Mfs Blended Backtesting, Portfolio Optimization, Mfs Blended Correlation, Mfs Blended Hype Analysis, Mfs Blended Volatility, Mfs Blended History as well as Mfs Blended Performance.
  
Please specify Mfs Blended's target price for which you would like Mfs Blended odds to be computed.

Mfs Blended Target Price Odds to finish below 10.44

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 drop to $ 10.44  or more in 90 days
 12.80 90 days 10.44 
near 1
Based on a normal probability distribution, the odds of Mfs Blended to drop to $ 10.44  or more in 90 days from now is near 1 (This Mfs Blended Research probability density function shows the probability of Mfs Mutual Fund to fall within a particular range of prices over 90 days) . Probability of Mfs Blended Research price to stay between $ 10.44  and its current price of $12.8 at the end of the 90-day period is about 91.31 .
Assuming the 90 days horizon Mfs Blended has a beta of 0.0149 suggesting as returns on the market go up, Mfs Blended average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding Mfs Blended Research will be expected to be much smaller as well. Additionally Mfs Blended Research has an alpha of 0.0989, implying that it can generate a 0.0989 percent excess return over NYSE Composite after adjusting for the inherited market risk (beta).
   Mfs Blended Price Density   
       Price  

Predictive Modules for Mfs Blended

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 Blended Research. 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 Mfs Blended'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
12.0412.8013.56
Details
Intrinsic
Valuation
LowRealHigh
11.5213.6614.42
Details
Naive
Forecast
LowNextHigh
12.0312.8013.56
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
12.7712.8012.82
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Mfs Blended. Your research has to be compared to or analyzed against Mfs Blended's peers to derive any actionable benefits. When done correctly, Mfs Blended's 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 Blended Research.

Mfs Blended Risk Indicators

For the most part, the last 10-20 years have been a very volatile time for the stock market. Mfs Blended is not an exception. The market had few large corrections towards the Mfs Blended'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 Mfs Blended Research, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Mfs Blended within the framework of very fundamental risk indicators.
α
Alpha over NYSE Composite
0.1
β
Beta against NYSE Composite0.01
σ
Overall volatility
0.36
Ir
Information ratio -0.03

Mfs Blended 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 Blended for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Mfs Blended Research 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 generated three year return of -5.0%
Mfs Blended Research holds 98.67% of its assets under management (AUM) in equities

Mfs Blended Technical Analysis

Mfs Blended's 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 Blended Research. In general, you should focus on analyzing Mfs Mutual Fund price patterns and their correlations with different microeconomic environments and drivers.

Mfs Blended Predictive Forecast Models

Mfs Blended's time-series forecasting models is one of many Mfs Blended'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 Mfs Blended'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 Mfs Blended Research

Checking the ongoing alerts about Mfs Blended for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Mfs Blended Research help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
The fund generated three year return of -5.0%
Mfs Blended Research holds 98.67% of its assets under management (AUM) in equities
Check out Mfs Blended Backtesting, Portfolio Optimization, Mfs Blended Correlation, Mfs Blended Hype Analysis, Mfs Blended Volatility, Mfs Blended History as well as Mfs Blended Performance.
Note that the Mfs Blended Research information on this page should be used as a complementary analysis to other Mfs Blended's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Fundamentals Comparison module to compare fundamentals across multiple equities to find investing opportunities.

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When running Mfs Blended's price analysis, check to measure Mfs Blended's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Mfs Blended is operating at the current time. Most of Mfs Blended's value examination focuses on studying past and present price action to predict the probability of Mfs Blended's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Mfs Blended's price. Additionally, you may evaluate how the addition of Mfs Blended to your portfolios can decrease your overall portfolio volatility.
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Please note, there is a significant difference between Mfs Blended's value and its price as these two are different measures arrived at by different means. Investors typically determine if Mfs Blended is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Mfs Blended's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.