Alternative Credit Income Fund Probability of Future Mutual Fund Price Finishing Over 10.24
| RCILX Fund | USD 9.73 0.04 0.41% |
Alternative |
Alternative Credit Target Price Odds to finish over 10.24
The tendency of Alternative 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 $ 10.24 or more in 90 days |
| 9.73 | 90 days | 10.24 | close to zero percent |
Based on a normal probability distribution, the odds of Alternative Credit to move over $ 10.24 or more in 90 days from now is close to zero percent (This Alternative Credit Income probability density function shows the probability of Alternative Mutual Fund to fall within a particular range of prices over 90 days) . Probability of Alternative Credit Income price to stay between its current price of $ 9.73 and $ 10.24 at the end of the 90-day period is about 26.81 .
Assuming the 90 days horizon Alternative Credit has a beta of 0.0284 indicating as returns on the market go up, Alternative Credit average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding Alternative Credit Income will be expected to be much smaller as well. Additionally Alternative Credit Income has an alpha of 0.0012, implying that it can generate a 0.001201 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). Alternative Credit Price Density |
| Price |
Predictive Modules for Alternative Credit
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Alternative Credit Income. 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.Alternative Credit Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Alternative Credit is not an exception. The market had few large corrections towards the Alternative Credit'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 Alternative Credit Income, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Alternative Credit within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0 | |
β | Beta against Dow Jones | 0.03 | |
σ | Overall volatility | 0.05 | |
Ir | Information ratio | -0.35 |
Alternative Credit Technical Analysis
Alternative Credit's future price can be derived by breaking down and analyzing its technical indicators over time. Alternative Mutual Fund technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Alternative Credit Income. In general, you should focus on analyzing Alternative Mutual Fund price patterns and their correlations with different microeconomic environments and drivers.
Alternative Credit Predictive Forecast Models
Alternative Credit's time-series forecasting models is one of many Alternative Credit'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 Alternative Credit'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 Alternative Credit 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, Alternative Credit's short interest history, or implied volatility extrapolated from Alternative Credit options trading.
Other Information on Investing in Alternative Mutual Fund
Alternative Credit financial ratios help investors to determine whether Alternative 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 Alternative with respect to the benefits of owning Alternative Credit security.
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