Cm Modity Index Fund Probability of Future Mutual Fund Price Finishing Over 67.29
| CMCAX Fund | USD 67.18 0.09 0.13% |
CMCAX |
Cm Commodity Target Price Odds to finish over 67.29
The tendency of CMCAX 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 over $ 67.29 or more in 90 days |
| 67.18 | 90 days | 67.29 | about 50.0 |
Based on a normal probability distribution, the odds of Cm Commodity to move over $ 67.29 or more in 90 days from now is about 50.0 (This Cm Modity Index probability density function shows the probability of CMCAX Mutual Fund to fall within a particular range of prices over 90 days) . Probability of Cm Modity Index price to stay between its current price of $ 67.18 and $ 67.29 at the end of the 90-day period is under 4.
Assuming the 90 days horizon Cm Modity Index has a beta of -0.0494 suggesting as returns on the benchmark increase, returns on holding Cm Commodity are expected to decrease at a much lower rate. During a bear market, however, Cm Modity Index is likely to outperform the market. Additionally Cm Modity Index has an alpha of 0.0254, implying that it can generate a 0.0254 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). Cm Commodity Price Density |
| Price |
Predictive Modules for Cm Commodity
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Cm Modity Index. 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.Cm Commodity Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Cm Commodity is not an exception. The market had few large corrections towards the Cm Commodity'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 Cm Modity Index, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Cm Commodity within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.03 | |
β | Beta against Dow Jones | -0.05 | |
σ | Overall volatility | 1.44 | |
Ir | Information ratio | -0.13 |
Cm Commodity 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 Cm Commodity for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Cm Modity Index 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 about 44.55% of its assets under management (AUM) in cash |
Cm Commodity Technical Analysis
Cm Commodity's future price can be derived by breaking down and analyzing its technical indicators over time. CMCAX Mutual Fund technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Cm Modity Index. In general, you should focus on analyzing CMCAX Mutual Fund price patterns and their correlations with different microeconomic environments and drivers.
Cm Commodity Predictive Forecast Models
Cm Commodity's time-series forecasting models is one of many Cm Commodity'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 Cm Commodity'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 Cm Modity Index
Checking the ongoing alerts about Cm Commodity for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Cm Modity Index 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 about 44.55% of its assets under management (AUM) in cash |
Other Information on Investing in CMCAX Mutual Fund
Cm Commodity financial ratios help investors to determine whether CMCAX 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 CMCAX with respect to the benefits of owning Cm Commodity security.
| Technical Analysis Check basic technical indicators and analysis based on most latest market data | |
| Performance Analysis Check effects of mean-variance optimization against your current asset allocation |