Massmutual Retiresmart Growth Fund Probability of Future Mutual Fund Price Finishing Under 11.1
MRGLX Fund | USD 10.93 1.11 11.30% |
Massmutual |
Massmutual Retiresmart Target Price Odds to finish below 11.1
The tendency of Massmutual 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 under $ 11.10 after 90 days |
10.93 | 90 days | 11.10 | about 98.0 |
Based on a normal probability distribution, the odds of Massmutual Retiresmart to stay under $ 11.10 after 90 days from now is about 98.0 (This Massmutual Retiresmart Growth probability density function shows the probability of Massmutual Mutual Fund to fall within a particular range of prices over 90 days) . Probability of Massmutual Retiresmart price to stay between its current price of $ 10.93 and $ 11.10 at the end of the 90-day period is about 30.2 .
Assuming the 90 days horizon Massmutual Retiresmart has a beta of 0.0716. This indicates as returns on the market go up, Massmutual Retiresmart average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding Massmutual Retiresmart Growth will be expected to be much smaller as well. Additionally Massmutual Retiresmart Growth has an alpha of 0.0188, implying that it can generate a 0.0188 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). Massmutual Retiresmart Price Density |
Price |
Predictive Modules for Massmutual Retiresmart
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Massmutual Retiresmart. 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.Massmutual Retiresmart Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Massmutual Retiresmart is not an exception. The market had few large corrections towards the Massmutual Retiresmart'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 Massmutual Retiresmart Growth, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Massmutual Retiresmart within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.02 | |
β | Beta against Dow Jones | 0.07 | |
σ | Overall volatility | 0.11 | |
Ir | Information ratio | -0.0063 |
Massmutual Retiresmart Technical Analysis
Massmutual Retiresmart's future price can be derived by breaking down and analyzing its technical indicators over time. Massmutual Mutual Fund technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Massmutual Retiresmart Growth. In general, you should focus on analyzing Massmutual Mutual Fund price patterns and their correlations with different microeconomic environments and drivers.
Massmutual Retiresmart Predictive Forecast Models
Massmutual Retiresmart's time-series forecasting models is one of many Massmutual Retiresmart'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 Massmutual Retiresmart'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.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Massmutual Retiresmart in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Massmutual Retiresmart's short interest history, or implied volatility extrapolated from Massmutual Retiresmart options trading.
Other Information on Investing in Massmutual Mutual Fund
Massmutual Retiresmart financial ratios help investors to determine whether Massmutual 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 Massmutual with respect to the benefits of owning Massmutual Retiresmart security.
Earnings Calls Check upcoming earnings announcements updated hourly across public exchanges | |
Global Markets Map Get a quick overview of global market snapshot using zoomable world map. Drill down to check world indexes | |
Competition Analyzer Analyze and compare many basic indicators for a group of related or unrelated entities |