Princeton Premium Fund Probability of Future Mutual Fund Price Finishing Over 12.24
| PPFIX Fund | USD 11.92 0.18 1.49% |
Princeton |
Princeton Premium Target Price Odds to finish over 12.24
The tendency of Princeton 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 $ 12.24 or more in 90 days |
| 11.92 | 90 days | 12.24 | near 1 |
Based on a normal probability distribution, the odds of Princeton Premium to move over $ 12.24 or more in 90 days from now is near 1 (This Princeton Premium probability density function shows the probability of Princeton Mutual Fund to fall within a particular range of prices over 90 days) . Probability of Princeton Premium price to stay between its current price of $ 11.92 and $ 12.24 at the end of the 90-day period is about 82.52 .
Assuming the 90 days horizon Princeton Premium has a beta of 0.0034 indicating as returns on the market go up, Princeton Premium average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding Princeton Premium will be expected to be much smaller as well. Additionally Princeton Premium 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. Princeton Premium Price Density |
| Price |
Predictive Modules for Princeton Premium
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Princeton Premium. 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.Princeton Premium Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Princeton Premium is not an exception. The market had few large corrections towards the Princeton Premium'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 Princeton Premium, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Princeton Premium within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | -0.0025 | |
β | Beta against Dow Jones | 0 | |
σ | Overall volatility | 0.07 | |
Ir | Information ratio | -0.46 |
Princeton Premium 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 Princeton Premium for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Princeton Premium 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 maintains about 98.51% of its assets in cash |
Princeton Premium Technical Analysis
Princeton Premium's future price can be derived by breaking down and analyzing its technical indicators over time. Princeton Mutual Fund technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Princeton Premium. In general, you should focus on analyzing Princeton Mutual Fund price patterns and their correlations with different microeconomic environments and drivers.
Princeton Premium Predictive Forecast Models
Princeton Premium's time-series forecasting models is one of many Princeton Premium'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 Princeton Premium'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 Princeton Premium
Checking the ongoing alerts about Princeton Premium for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Princeton Premium help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
| The fund maintains about 98.51% of its assets in cash |
Other Information on Investing in Princeton Mutual Fund
Princeton Premium financial ratios help investors to determine whether Princeton 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 Princeton with respect to the benefits of owning Princeton Premium security.
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