Fundvantage Trust Fund Probability of Future Mutual Fund Price Finishing Over 10.24
| PBBIX Fund | USD 10.33 0.01 0.1% |
Fundvantage |
Fundvantage Trust Target Price Odds to finish over 10.24
The tendency of Fundvantage 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 $ 10.24 in 90 days |
| 10.33 | 90 days | 10.24 | about 35.81 |
Based on a normal probability distribution, the odds of Fundvantage Trust to stay above $ 10.24 in 90 days from now is about 35.81 (This Fundvantage Trust probability density function shows the probability of Fundvantage Mutual Fund to fall within a particular range of prices over 90 days) . Probability of Fundvantage Trust price to stay between $ 10.24 and its current price of $10.33 at the end of the 90-day period is about 33.53 .
Assuming the 90 days horizon Fundvantage Trust has a beta of -0.0092 indicating as returns on the benchmark increase, returns on holding Fundvantage Trust are expected to decrease at a much lower rate. During a bear market, however, Fundvantage Trust is likely to outperform the market. Additionally Fundvantage Trust has an alpha of 0.0134, implying that it can generate a 0.0134 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). Fundvantage Trust Price Density |
| Price |
Predictive Modules for Fundvantage Trust
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Fundvantage Trust. 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.Fundvantage Trust Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Fundvantage Trust is not an exception. The market had few large corrections towards the Fundvantage Trust'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 Fundvantage Trust , one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Fundvantage Trust within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.01 | |
β | Beta against Dow Jones | -0.0092 | |
σ | Overall volatility | 0.06 | |
Ir | Information ratio | -0.59 |
Fundvantage Trust Technical Analysis
Fundvantage Trust's future price can be derived by breaking down and analyzing its technical indicators over time. Fundvantage Mutual Fund technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Fundvantage Trust . In general, you should focus on analyzing Fundvantage Mutual Fund price patterns and their correlations with different microeconomic environments and drivers.
Fundvantage Trust Predictive Forecast Models
Fundvantage Trust's time-series forecasting models is one of many Fundvantage Trust'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 Fundvantage Trust'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 Fundvantage Trust 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, Fundvantage Trust's short interest history, or implied volatility extrapolated from Fundvantage Trust options trading.
Other Information on Investing in Fundvantage Mutual Fund
Fundvantage Trust financial ratios help investors to determine whether Fundvantage 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 Fundvantage with respect to the benefits of owning Fundvantage Trust security.
| Technical Analysis Check basic technical indicators and analysis based on most latest market data | |
| Portfolio Volatility Check portfolio volatility and analyze historical return density to properly model market risk | |
| Sectors List of equity sectors categorizing publicly traded companies based on their primary business activities | |
| Equity Forecasting Use basic forecasting models to generate price predictions and determine price momentum |