Commodities Strategy Fund Probability of Future Mutual Fund Price Finishing Under 16.13
| RYMJX Fund | USD 16.32 0.13 0.80% |
Commodities |
Commodities Strategy Target Price Odds to finish below 16.13
The tendency of Commodities 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 $ 16.13 or more in 90 days |
| 16.32 | 90 days | 16.13 | about 25.13 |
Based on a normal probability distribution, the odds of Commodities Strategy to drop to $ 16.13 or more in 90 days from now is about 25.13 (This Commodities Strategy Fund probability density function shows the probability of Commodities Mutual Fund to fall within a particular range of prices over 90 days) . Probability of Commodities Strategy price to stay between $ 16.13 and its current price of $16.32 at the end of the 90-day period is about 27.4 .
Assuming the 90 days horizon Commodities Strategy Fund has a beta of -0.22 indicating as returns on the benchmark increase, returns on holding Commodities Strategy are expected to decrease at a much lower rate. During a bear market, however, Commodities Strategy Fund is likely to outperform the market. Additionally Commodities Strategy Fund has an alpha of 0.032, implying that it can generate a 0.032 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). Commodities Strategy Price Density |
| Price |
Predictive Modules for Commodities Strategy
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Commodities Strategy. 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.Commodities Strategy Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Commodities Strategy is not an exception. The market had few large corrections towards the Commodities Strategy'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 Commodities Strategy Fund, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Commodities Strategy within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.03 | |
β | Beta against Dow Jones | -0.22 | |
σ | Overall volatility | 0.26 | |
Ir | Information ratio | 0 |
Commodities Strategy 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 Commodities Strategy for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Commodities Strategy 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 generated-11.0 ten year return of -11.0% | |
| Commodities Strategy maintains about 43.77% of its assets in cash |
Commodities Strategy Technical Analysis
Commodities Strategy's future price can be derived by breaking down and analyzing its technical indicators over time. Commodities Mutual Fund technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Commodities Strategy Fund. In general, you should focus on analyzing Commodities Mutual Fund price patterns and their correlations with different microeconomic environments and drivers.
Commodities Strategy Predictive Forecast Models
Commodities Strategy's time-series forecasting models is one of many Commodities Strategy'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 Commodities Strategy'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 Commodities Strategy
Checking the ongoing alerts about Commodities Strategy for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Commodities Strategy help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
| The fund generated-11.0 ten year return of -11.0% | |
| Commodities Strategy maintains about 43.77% of its assets in cash |
Other Information on Investing in Commodities Mutual Fund
Commodities Strategy financial ratios help investors to determine whether Commodities 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 Commodities with respect to the benefits of owning Commodities Strategy security.
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