Amg Gwk Smallmid Fund Odds of Future Mutual Fund Price Finishing Under 15.54
| GWGZX Fund | USD 20.48 0.01 0.05% |
Amg |
Amg Gwk Target Price Odds to finish below 15.54
The tendency of Amg 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 drop to $ 15.54 or more in 90 days |
| 20.48 | 90 days | 15.54 | near 1 |
Based on a normal probability distribution, the odds of Amg Gwk to drop to $ 15.54 or more in 90 days from now is near 1 (This Amg Gwk Smallmid probability density function shows the probability of Amg Mutual Fund to fall within a particular range of prices over 90 days) . Probability of Amg Gwk Smallmid price to stay between $ 15.54 and its current price of $20.48 at the end of the 90-day period is about 92.44 .
Assuming the 90 days horizon the mutual fund has the beta coefficient of 1.18 . 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, Amg Gwk will likely underperform. Additionally Amg Gwk Smallmid has an alpha of 0.012, implying that it can generate a 0.012 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). Amg Gwk Price Density |
| Price |
Predictive Modules for Amg Gwk
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Amg Gwk Smallmid. 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.Amg Gwk Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Amg Gwk is not an exception. The market had few large corrections towards the Amg Gwk'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 Amg Gwk Smallmid, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Amg Gwk within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.01 | |
β | Beta against Dow Jones | 1.18 | |
σ | Overall volatility | 0.78 | |
Ir | Information ratio | 0.03 |
Amg Gwk 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 Amg Gwk for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Amg Gwk Smallmid 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 96.27% of its assets under management (AUM) in equities |
Amg Gwk Technical Analysis
Amg Gwk's future price can be derived by breaking down and analyzing its technical indicators over time. Amg Mutual Fund technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Amg Gwk Smallmid. In general, you should focus on analyzing Amg Mutual Fund price patterns and their correlations with different microeconomic environments and drivers.
Amg Gwk Predictive Forecast Models
Amg Gwk's time-series forecasting models is one of many Amg Gwk'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 Amg Gwk'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 Amg Gwk Smallmid
Checking the ongoing alerts about Amg Gwk for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Amg Gwk Smallmid 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 96.27% of its assets under management (AUM) in equities |
Other Information on Investing in Amg Mutual Fund
Amg Gwk financial ratios help investors to determine whether Amg 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 Amg with respect to the benefits of owning Amg Gwk security.
| Bollinger Bands Use Bollinger Bands indicator to analyze target price for a given investing horizon | |
| Equity Forecasting Use basic forecasting models to generate price predictions and determine price momentum | |
| Correlation Analysis Reduce portfolio risk simply by holding instruments which are not perfectly correlated | |
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