Eubel Brady Suttman Fund Probability of Future Mutual Fund Price Finishing Over 9.66
| EBSFX Fund | USD 9.66 0.02 0.21% |
Eubel |
Eubel Brady Target Price Odds to finish over 9.66
The tendency of Eubel 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 Price | Horizon | Target Price | Odds to move above the current price in 90 days |
| 9.66 | 90 days | 9.66 | roughly 2.83 |
Based on a normal probability distribution, the odds of Eubel Brady to move above the current price in 90 days from now is roughly 2.83 (This Eubel Brady Suttman probability density function shows the probability of Eubel Mutual Fund to fall within a particular range of prices over 90 days) .
Assuming the 90 days horizon Eubel Brady Suttman has a beta of -0.0356 suggesting as returns on the benchmark increase, returns on holding Eubel Brady are expected to decrease at a much lower rate. During a bear market, however, Eubel Brady Suttman is likely to outperform the market. Additionally Eubel Brady Suttman has an alpha of 0.0371, implying that it can generate a 0.0371 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). Eubel Brady Price Density |
| Price |
Predictive Modules for Eubel Brady
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Eubel Brady Suttman. 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 Eubel Brady'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.
Eubel Brady Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Eubel Brady is not an exception. The market had few large corrections towards the Eubel Brady'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 Eubel Brady Suttman, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Eubel Brady within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.04 | |
β | Beta against Dow Jones | -0.04 | |
σ | Overall volatility | 0.08 | |
Ir | Information ratio | -0.3 |
Eubel Brady Technical Analysis
Eubel Brady's future price can be derived by breaking down and analyzing its technical indicators over time. Eubel Mutual Fund technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Eubel Brady Suttman. In general, you should focus on analyzing Eubel Mutual Fund price patterns and their correlations with different microeconomic environments and drivers.
Eubel Brady Predictive Forecast Models
Eubel Brady's time-series forecasting models is one of many Eubel Brady'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 Eubel Brady'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.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Eubel Brady in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Eubel Brady's short interest history, or implied volatility extrapolated from Eubel Brady options trading.
Other Information on Investing in Eubel Mutual Fund
Eubel Brady financial ratios help investors to determine whether Eubel 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 Eubel with respect to the benefits of owning Eubel Brady security.
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