Collegeadvantage 529 Savings Fund Probability of Future Mutual Fund Price Finishing Over 36.29
| BOAIX Fund | USD 43.05 0.01 0.02% |
Collegeadvantage |
Collegeadvantage Target Price Odds to finish over 36.29
The tendency of Collegeadvantage 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 $ 36.29 in 90 days |
| 43.05 | 90 days | 36.29 | close to 99 |
Based on a normal probability distribution, the odds of Collegeadvantage to stay above $ 36.29 in 90 days from now is close to 99 (This Collegeadvantage 529 Savings probability density function shows the probability of Collegeadvantage Mutual Fund to fall within a particular range of prices over 90 days) . Probability of Collegeadvantage 529 price to stay between $ 36.29 and its current price of $43.05 at the end of the 90-day period is about 28.02 .
Assuming the 90 days horizon Collegeadvantage has a beta of 0.0998 suggesting as returns on the market go up, Collegeadvantage average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding Collegeadvantage 529 Savings will be expected to be much smaller as well. Additionally Collegeadvantage 529 Savings 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. Collegeadvantage Price Density |
| Price |
Predictive Modules for Collegeadvantage
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Collegeadvantage 529. 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.Collegeadvantage Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Collegeadvantage is not an exception. The market had few large corrections towards the Collegeadvantage'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 Collegeadvantage 529 Savings, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Collegeadvantage within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | -0.0007 | |
β | Beta against Dow Jones | 0.1 | |
σ | Overall volatility | 0.74 | |
Ir | Information ratio | -0.03 |
Collegeadvantage Technical Analysis
Collegeadvantage's future price can be derived by breaking down and analyzing its technical indicators over time. Collegeadvantage Mutual Fund technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Collegeadvantage 529 Savings. In general, you should focus on analyzing Collegeadvantage Mutual Fund price patterns and their correlations with different microeconomic environments and drivers.
Collegeadvantage Predictive Forecast Models
Collegeadvantage's time-series forecasting models is one of many Collegeadvantage'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 Collegeadvantage'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 Collegeadvantage 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, Collegeadvantage's short interest history, or implied volatility extrapolated from Collegeadvantage options trading.
Other Information on Investing in Collegeadvantage Mutual Fund
Collegeadvantage financial ratios help investors to determine whether Collegeadvantage 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 Collegeadvantage with respect to the benefits of owning Collegeadvantage security.
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