Small Pany Fund Probability of Future Mutual Fund Price Finishing Over 25.99

FOSBX Fund  USD 28.85  0.10  0.35%   
Small Company's future price is the expected price of Small Company 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 Small Pany Fund performance during a given time horizon utilizing its historical volatility. Check out Small Company Backtesting, Portfolio Optimization, Small Company Correlation, Small Company Hype Analysis, Small Company Volatility, Small Company History as well as Small Company Performance.
  
Please specify Small Company's target price for which you would like Small Company odds to be computed.

Small Company Target Price Odds to finish over 25.99

The tendency of Small 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 above $ 25.99  in 90 days
 28.85 90 days 25.99 
close to 99
Based on a normal probability distribution, the odds of Small Company to stay above $ 25.99  in 90 days from now is close to 99 (This Small Pany Fund probability density function shows the probability of Small Mutual Fund to fall within a particular range of prices over 90 days) . Probability of Small Pany Fund price to stay between $ 25.99  and its current price of $28.85 at the end of the 90-day period is about 12.21 .
Assuming the 90 days horizon the mutual fund has the beta coefficient of 1.49 . This usually indicates as the benchmark fluctuates upward, the company is expected to outperform it on average. However, if the benchmark returns are projected to be negative, Small Company will likely underperform. Additionally Small Pany Fund has a negative alpha, implying that the risk taken by holding this instrument is not justified. The company is significantly underperforming the NYSE Composite.
   Small Company Price Density   
       Price  

Predictive Modules for Small Company

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Small Pany 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 Small Company'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
27.8128.9430.07
Details
Intrinsic
Valuation
LowRealHigh
28.0229.1530.28
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Small Company. Your research has to be compared to or analyzed against Small Company's peers to derive any actionable benefits. When done correctly, Small Company'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 Small Pany Fund.

Small Company Risk Indicators

For the most part, the last 10-20 years have been a very volatile time for the stock market. Small Company is not an exception. The market had few large corrections towards the Small Company'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 Small Pany Fund, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Small Company within the framework of very fundamental risk indicators.
α
Alpha over NYSE Composite
-0.06
β
Beta against NYSE Composite1.49
σ
Overall volatility
0.61
Ir
Information ratio -0.03

Small Company 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 Small Company for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Small Pany 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.

Small Company Technical Analysis

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

Small Company Predictive Forecast Models

Small Company's time-series forecasting models is one of many Small Company'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 Small Company'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 Small Pany Fund

Checking the ongoing alerts about Small Company for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Small Pany Fund help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
Check out Small Company Backtesting, Portfolio Optimization, Small Company Correlation, Small Company Hype Analysis, Small Company Volatility, Small Company History as well as Small Company Performance.
Note that the Small Pany Fund information on this page should be used as a complementary analysis to other Small Company'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 Funds Screener module to find actively-traded funds from around the world traded on over 30 global exchanges.
Please note, there is a significant difference between Small Company's value and its price as these two are different measures arrived at by different means. Investors typically determine if Small Company is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Small Company'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.