Pro Blend Servative Term Fund Probability of Future Mutual Fund Price Finishing Over 13.32
| MNCRX Fund | USD 13.34 0.03 0.23% |
Pro |
Pro Blend Target Price Odds to finish over 13.32
The tendency of Pro 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 stay above $ 13.32 in 90 days |
| 13.34 | 90 days | 13.32 | about 92.87 |
Based on a normal probability distribution, the odds of Pro Blend to stay above $ 13.32 in 90 days from now is about 92.87 (This Pro Blend Servative Term probability density function shows the probability of Pro Mutual Fund to fall within a particular range of prices over 90 days) . Probability of Pro Blend Servative price to stay between $ 13.32 and its current price of $13.34 at the end of the 90-day period is under 4.
Assuming the 90 days horizon Pro Blend has a beta of 0.0983. This indicates as returns on the market go up, Pro Blend average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding Pro Blend Servative Term will be expected to be much smaller as well. Additionally Pro Blend Servative 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 Price Density |
| Price |
Predictive Modules for Pro Blend
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 Servative. 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 Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Pro Blend is not an exception. The market had few large corrections towards the Pro Blend'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 Servative Term, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Pro Blend within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | -0.03 | |
β | Beta against Dow Jones | 0.1 | |
σ | Overall volatility | 0.1 | |
Ir | Information ratio | -0.63 |
Pro Blend 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 for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Pro Blend Servative can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.| Pro Blend Servative generated a negative expected return over the last 90 days | |
| The fund maintains about 5.33% of its assets in bonds |
Pro Blend Technical Analysis
Pro Blend's future price can be derived by breaking down and analyzing its technical indicators over time. Pro 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 Servative Term. In general, you should focus on analyzing Pro Mutual Fund price patterns and their correlations with different microeconomic environments and drivers.
Pro Blend Predictive Forecast Models
Pro Blend's time-series forecasting models is one of many Pro Blend'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'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 Servative
Checking the ongoing alerts about Pro Blend for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Pro Blend Servative help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
| Pro Blend Servative generated a negative expected return over the last 90 days | |
| The fund maintains about 5.33% of its assets in bonds |
Other Information on Investing in Pro Mutual Fund
Pro Blend financial ratios help investors to determine whether Pro 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 with respect to the benefits of owning Pro Blend security.
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