Research Portfolio Institutional Fund Probability of Future Mutual Fund Price Finishing Under 59.16
| JAGRX Fund | USD 60.16 0.34 0.57% |
Research |
Research Portfolio Target Price Odds to finish below 59.16
The tendency of Research 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 $ 59.16 or more in 90 days |
| 60.16 | 90 days | 59.16 | about 86.97 |
Based on a normal probability distribution, the odds of Research Portfolio to drop to $ 59.16 or more in 90 days from now is about 86.97 (This Research Portfolio Institutional probability density function shows the probability of Research Mutual Fund to fall within a particular range of prices over 90 days) . Probability of Research Portfolio price to stay between $ 59.16 and its current price of $60.16 at the end of the 90-day period is about 7.66 .
Assuming the 90 days horizon Research Portfolio has a beta of 0.9. This indicates Research Portfolio Institutional market returns are sensitive to returns on the market. As the market goes up or down, Research Portfolio is expected to follow. Additionally Research Portfolio Institutional has an alpha of 0.0452, implying that it can generate a 0.0452 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). Research Portfolio Price Density |
| Price |
Predictive Modules for Research Portfolio
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Research Portfolio. 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.Research Portfolio Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Research Portfolio is not an exception. The market had few large corrections towards the Research Portfolio'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 Research Portfolio Institutional, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Research Portfolio within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.05 | |
β | Beta against Dow Jones | 0.90 | |
σ | Overall volatility | 2.03 | |
Ir | Information ratio | 0.03 |
Research Portfolio 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 Research Portfolio for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Research Portfolio 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 retains 99.48% of its assets under management (AUM) in equities |
Research Portfolio Technical Analysis
Research Portfolio's future price can be derived by breaking down and analyzing its technical indicators over time. Research Mutual Fund technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Research Portfolio Institutional. In general, you should focus on analyzing Research Mutual Fund price patterns and their correlations with different microeconomic environments and drivers.
Research Portfolio Predictive Forecast Models
Research Portfolio's time-series forecasting models is one of many Research Portfolio'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 Research Portfolio'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 Research Portfolio
Checking the ongoing alerts about Research Portfolio for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Research Portfolio help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
| The fund retains 99.48% of its assets under management (AUM) in equities |
Other Information on Investing in Research Mutual Fund
Research Portfolio financial ratios help investors to determine whether Research 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 Research with respect to the benefits of owning Research Portfolio security.
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