Rivernorth Flexible Municipalome Fund Probability of Future Mutual Fund Price Finishing Over 17.37
| XRFMX Fund | USD 17.43 0.04 0.23% |
Rivernorth |
Rivernorth Flexible Target Price Odds to finish over 17.37
The tendency of Rivernorth 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 $ 17.37 in 90 days |
| 17.43 | 90 days | 17.37 | about 11.23 |
Based on a normal probability distribution, the odds of Rivernorth Flexible to stay above $ 17.37 in 90 days from now is about 11.23 (This Rivernorth Flexible Municipalome probability density function shows the probability of Rivernorth Mutual Fund to fall within a particular range of prices over 90 days) . Probability of Rivernorth Flexible price to stay between $ 17.37 and its current price of $17.43 at the end of the 90-day period is about 6.21 .
Assuming the 90 days horizon Rivernorth Flexible has a beta of 0.0812. This entails as returns on the market go up, Rivernorth Flexible average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding Rivernorth Flexible Municipalome will be expected to be much smaller as well. Additionally Rivernorth Flexible Municipalome has an alpha of 0.0193, implying that it can generate a 0.0193 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). Rivernorth Flexible Price Density |
| Price |
Predictive Modules for Rivernorth Flexible
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Rivernorth Flexible. 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.Rivernorth Flexible Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Rivernorth Flexible is not an exception. The market had few large corrections towards the Rivernorth Flexible'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 Rivernorth Flexible Municipalome, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Rivernorth Flexible within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.02 | |
β | Beta against Dow Jones | 0.08 | |
σ | Overall volatility | 0.14 | |
Ir | Information ratio | -0.2 |
Rivernorth Flexible Technical Analysis
Rivernorth Flexible's future price can be derived by breaking down and analyzing its technical indicators over time. Rivernorth Mutual Fund technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Rivernorth Flexible Municipalome. In general, you should focus on analyzing Rivernorth Mutual Fund price patterns and their correlations with different microeconomic environments and drivers.
Rivernorth Flexible Predictive Forecast Models
Rivernorth Flexible's time-series forecasting models is one of many Rivernorth Flexible'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 Rivernorth Flexible'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 Rivernorth Flexible 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, Rivernorth Flexible's short interest history, or implied volatility extrapolated from Rivernorth Flexible options trading.
Other Information on Investing in Rivernorth Mutual Fund
Rivernorth Flexible financial ratios help investors to determine whether Rivernorth 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 Rivernorth with respect to the benefits of owning Rivernorth Flexible security.
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