Multi Manager Growth Strategies Fund Probability of Future Mutual Fund Price Finishing Over 21.65
| CZMGX Fund | USD 21.65 0.19 0.89% |
Multi-manager |
Multi-manager Growth Target Price Odds to finish over 21.65
The tendency of Multi-manager 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 |
| 21.65 | 90 days | 21.65 | about 5.8 |
Based on a normal probability distribution, the odds of Multi-manager Growth to move above the current price in 90 days from now is about 5.8 (This Multi Manager Growth Strategies probability density function shows the probability of Multi-manager Mutual Fund to fall within a particular range of prices over 90 days) .
Assuming the 90 days horizon Multi-manager Growth has a beta of 0.91 suggesting Multi Manager Growth Strategies market returns are sensitive to returns on the market. As the market goes up or down, Multi-manager Growth is expected to follow. Additionally Multi Manager Growth Strategies has an alpha of 0.0367, implying that it can generate a 0.0367 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). Multi-manager Growth Price Density |
| Price |
Predictive Modules for Multi-manager Growth
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Multi Manager Growth. 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.Multi-manager Growth Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Multi-manager Growth is not an exception. The market had few large corrections towards the Multi-manager Growth'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 Multi Manager Growth Strategies, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Multi-manager Growth within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.04 | |
β | Beta against Dow Jones | 0.91 | |
σ | Overall volatility | 0.77 | |
Ir | Information ratio | 0.02 |
Multi-manager Growth 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 Multi-manager Growth for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Multi Manager Growth 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 holds 97.81% of its assets under management (AUM) in equities |
Multi-manager Growth Technical Analysis
Multi-manager Growth's future price can be derived by breaking down and analyzing its technical indicators over time. Multi-manager Mutual Fund technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Multi Manager Growth Strategies. In general, you should focus on analyzing Multi-manager Mutual Fund price patterns and their correlations with different microeconomic environments and drivers.
Multi-manager Growth Predictive Forecast Models
Multi-manager Growth's time-series forecasting models is one of many Multi-manager Growth'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 Multi-manager Growth'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 Multi Manager Growth
Checking the ongoing alerts about Multi-manager Growth for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Multi Manager Growth help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
| The fund holds 97.81% of its assets under management (AUM) in equities |
Other Information on Investing in Multi-manager Mutual Fund
Multi-manager Growth financial ratios help investors to determine whether Multi-manager 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 Multi-manager with respect to the benefits of owning Multi-manager Growth security.
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