Segall Bryant Hamill Fund Probability of Future Mutual Fund Price Finishing Over 25.65

SBHAX Fund  USD 20.39  0.14  0.68%   
Segall Bryant's future price is the expected price of Segall Bryant 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 Segall Bryant Hamill performance during a given time horizon utilizing its historical volatility. Check out Segall Bryant Backtesting, Portfolio Optimization, Segall Bryant Correlation, Segall Bryant Hype Analysis, Segall Bryant Volatility, Segall Bryant History as well as Segall Bryant Performance.
  
Please specify Segall Bryant's target price for which you would like Segall Bryant odds to be computed.

Segall Bryant Target Price Odds to finish over 25.65

The tendency of Segall 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 $ 25.65  or more in 90 days
 20.39 90 days 25.65 
near 1
Based on a normal probability distribution, the odds of Segall Bryant to move over $ 25.65  or more in 90 days from now is near 1 (This Segall Bryant Hamill probability density function shows the probability of Segall Mutual Fund to fall within a particular range of prices over 90 days) . Probability of Segall Bryant Hamill price to stay between its current price of $ 20.39  and $ 25.65  at the end of the 90-day period is close to 99 .
Assuming the 90 days horizon Segall Bryant has a beta of 0.35. This usually implies as returns on the market go up, Segall Bryant average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding Segall Bryant Hamill will be expected to be much smaller as well. Additionally Segall Bryant Hamill 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.
   Segall Bryant Price Density   
       Price  

Predictive Modules for Segall Bryant

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Segall Bryant Hamill. 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
16.9219.0321.14
Details
Intrinsic
Valuation
LowRealHigh
18.6320.7422.85
Details
Naive
Forecast
LowNextHigh
17.1919.3021.41
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
20.3020.4420.57
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Segall Bryant. Your research has to be compared to or analyzed against Segall Bryant's peers to derive any actionable benefits. When done correctly, Segall Bryant'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 Segall Bryant Hamill.

Segall Bryant Risk Indicators

For the most part, the last 10-20 years have been a very volatile time for the stock market. Segall Bryant is not an exception. The market had few large corrections towards the Segall Bryant'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 Segall Bryant Hamill, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Segall Bryant within the framework of very fundamental risk indicators.
α
Alpha over Dow Jones
-0.16
β
Beta against Dow Jones0.35
σ
Overall volatility
0.71
Ir
Information ratio -0.11

Segall Bryant 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 Segall Bryant for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Segall Bryant Hamill can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.
Segall Bryant Hamill generated a negative expected return over the last 90 days
The fund maintains 96.47% of its assets in stocks

Segall Bryant Technical Analysis

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

Segall Bryant Predictive Forecast Models

Segall Bryant's time-series forecasting models is one of many Segall Bryant'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 Segall Bryant'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 Segall Bryant Hamill

Checking the ongoing alerts about Segall Bryant for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Segall Bryant Hamill help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
Segall Bryant Hamill generated a negative expected return over the last 90 days
The fund maintains 96.47% of its assets in stocks

Other Information on Investing in Segall Mutual Fund

Segall Bryant financial ratios help investors to determine whether Segall 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 Segall with respect to the benefits of owning Segall Bryant security.
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