Empiric 2500 Fund Probability of Future Mutual Fund Price Finishing Under 69.14
| EMCAX Fund | USD 69.00 0.41 0.59% |
Empiric |
Empiric 2500 Target Price Odds to finish below 69.14
The tendency of Empiric 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 stay under $ 69.14 after 90 days |
| 69.00 | 90 days | 69.14 | about 86.94 |
Based on a normal probability distribution, the odds of Empiric 2500 to stay under $ 69.14 after 90 days from now is about 86.94 (This Empiric 2500 Fund probability density function shows the probability of Empiric Mutual Fund to fall within a particular range of prices over 90 days) . Probability of Empiric 2500 price to stay between its current price of $ 69.00 and $ 69.14 at the end of the 90-day period is about 1.39 .
Assuming the 90 days horizon the mutual fund has the beta coefficient of 1.12 suggesting Empiric 2500 Fund market returns are sensitive to returns on the market. As the market goes up or down, Empiric 2500 is expected to follow. Additionally Empiric 2500 Fund has an alpha of 0.0335, implying that it can generate a 0.0335 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). Empiric 2500 Price Density |
| Price |
Predictive Modules for Empiric 2500
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Empiric 2500. 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.Empiric 2500 Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Empiric 2500 is not an exception. The market had few large corrections towards the Empiric 2500'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 Empiric 2500 Fund, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Empiric 2500 within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.03 | |
β | Beta against Dow Jones | 1.12 | |
σ | Overall volatility | 2.19 | |
Ir | Information ratio | 0.05 |
Empiric 2500 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 Empiric 2500 for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Empiric 2500 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 retains about 8.56% of its assets under management (AUM) in cash |
Empiric 2500 Technical Analysis
Empiric 2500's future price can be derived by breaking down and analyzing its technical indicators over time. Empiric Mutual Fund technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Empiric 2500 Fund. In general, you should focus on analyzing Empiric Mutual Fund price patterns and their correlations with different microeconomic environments and drivers.
Empiric 2500 Predictive Forecast Models
Empiric 2500's time-series forecasting models is one of many Empiric 2500'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 Empiric 2500'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 Empiric 2500
Checking the ongoing alerts about Empiric 2500 for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Empiric 2500 help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
| The fund retains about 8.56% of its assets under management (AUM) in cash |
Other Information on Investing in Empiric Mutual Fund
Empiric 2500 financial ratios help investors to determine whether Empiric 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 Empiric with respect to the benefits of owning Empiric 2500 security.
| Correlation Analysis Reduce portfolio risk simply by holding instruments which are not perfectly correlated | |
| Pattern Recognition Use different Pattern Recognition models to time the market across multiple global exchanges | |
| Bollinger Bands Use Bollinger Bands indicator to analyze target price for a given investing horizon |