Pro Blend Maximum Term Fund Probability of Future Mutual Fund Price Finishing Over 27.81
| MNHIX Fund | USD 27.24 0.14 0.52% |
Pro-blend(r) |
Pro-blend(r) Maximum Target Price Odds to finish over 27.81
The tendency of Pro-blend(r) 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 $ 27.81 or more in 90 days |
| 27.24 | 90 days | 27.81 | near 1 |
Based on a normal probability distribution, the odds of Pro-blend(r) Maximum to move over $ 27.81 or more in 90 days from now is near 1 (This Pro Blend Maximum Term probability density function shows the probability of Pro-blend(r) Mutual Fund to fall within a particular range of prices over 90 days) . Probability of Pro-blend(r) Maximum price to stay between its current price of $ 27.24 and $ 27.81 at the end of the 90-day period is about 7.91 .
Assuming the 90 days horizon Pro-blend(r) Maximum has a beta of 0.58. This indicates as returns on the market go up, Pro-blend(r) Maximum average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding Pro Blend Maximum Term will be expected to be much smaller as well. Additionally Pro Blend Maximum Term has a negative alpha, implying that the risk taken by holding this instrument is not justified. The company is significantly underperforming the Dow Jones Industrial. Pro-blend(r) Maximum Price Density |
| Price |
Predictive Modules for Pro-blend(r) Maximum
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Pro-blend(r) Maximum. 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.Pro-blend(r) Maximum Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Pro-blend(r) Maximum is not an exception. The market had few large corrections towards the Pro-blend(r) Maximum'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 Pro Blend Maximum Term, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Pro-blend(r) Maximum within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | -0.03 | |
β | Beta against Dow Jones | 0.58 | |
σ | Overall volatility | 0.32 | |
Ir | Information ratio | -0.14 |
Pro-blend(r) Maximum 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 Pro-blend(r) Maximum for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Pro-blend(r) Maximum 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 maintains about 5.97% of its assets in cash |
Pro-blend(r) Maximum Technical Analysis
Pro-blend(r) Maximum's future price can be derived by breaking down and analyzing its technical indicators over time. Pro-blend(r) Mutual Fund technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Pro Blend Maximum Term. In general, you should focus on analyzing Pro-blend(r) Mutual Fund price patterns and their correlations with different microeconomic environments and drivers.
Pro-blend(r) Maximum Predictive Forecast Models
Pro-blend(r) Maximum's time-series forecasting models is one of many Pro-blend(r) Maximum'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 Pro-blend(r) Maximum'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 Pro-blend(r) Maximum
Checking the ongoing alerts about Pro-blend(r) Maximum for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Pro-blend(r) Maximum help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
| The fund maintains about 5.97% of its assets in cash |
Other Information on Investing in Pro-blend(r) Mutual Fund
Pro-blend(r) Maximum financial ratios help investors to determine whether Pro-blend(r) 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 Pro-blend(r) with respect to the benefits of owning Pro-blend(r) Maximum security.
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