Muhlenkamp Fund Institutional Fund Probability of Future Mutual Fund Price Finishing Over 75.79
MUHLX Fund | USD 74.73 0.25 0.34% |
Muhlenkamp |
Muhlenkamp Fund Target Price Odds to finish over 75.79
The tendency of Muhlenkamp 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 $ 75.79 or more in 90 days |
74.73 | 90 days | 75.79 | near 1 |
Based on a normal probability distribution, the odds of Muhlenkamp Fund to move over $ 75.79 or more in 90 days from now is near 1 (This Muhlenkamp Fund Institutional probability density function shows the probability of Muhlenkamp Mutual Fund to fall within a particular range of prices over 90 days) . Probability of Muhlenkamp Fund Inst price to stay between its current price of $ 74.73 and $ 75.79 at the end of the 90-day period is roughly 2.64 .
Assuming the 90 days horizon Muhlenkamp Fund has a beta of 0.87. This indicates Muhlenkamp Fund Institutional market returns are sensitive to returns on the market. As the market goes up or down, Muhlenkamp Fund is expected to follow. Additionally Muhlenkamp Fund Institutional 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. Muhlenkamp Fund Price Density |
Price |
Predictive Modules for Muhlenkamp Fund
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Muhlenkamp Fund Inst. 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.Muhlenkamp Fund Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Muhlenkamp Fund is not an exception. The market had few large corrections towards the Muhlenkamp Fund'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 Muhlenkamp Fund Institutional, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Muhlenkamp Fund within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | -0.03 | |
β | Beta against Dow Jones | 0.87 | |
σ | Overall volatility | 1.66 | |
Ir | Information ratio | -0.06 |
Muhlenkamp Fund 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 Muhlenkamp Fund for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Muhlenkamp Fund Inst 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 8.37% of its assets in cash |
Muhlenkamp Fund Technical Analysis
Muhlenkamp Fund's future price can be derived by breaking down and analyzing its technical indicators over time. Muhlenkamp Mutual Fund technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Muhlenkamp Fund Institutional. In general, you should focus on analyzing Muhlenkamp Mutual Fund price patterns and their correlations with different microeconomic environments and drivers.
Muhlenkamp Fund Predictive Forecast Models
Muhlenkamp Fund's time-series forecasting models is one of many Muhlenkamp Fund'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 Muhlenkamp Fund'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 Muhlenkamp Fund Inst
Checking the ongoing alerts about Muhlenkamp Fund for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Muhlenkamp Fund Inst 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 8.37% of its assets in cash |
Other Information on Investing in Muhlenkamp Mutual Fund
Muhlenkamp Fund financial ratios help investors to determine whether Muhlenkamp 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 Muhlenkamp with respect to the benefits of owning Muhlenkamp Fund security.
Equity Forecasting Use basic forecasting models to generate price predictions and determine price momentum | |
Portfolio Analyzer Portfolio analysis module that provides access to portfolio diagnostics and optimization engine | |
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