Banking Fund Class Fund Probability of Future Mutual Fund Price Finishing Over 86.80
| RYKAX Fund | USD 86.80 0.83 0.95% |
Banking |
Banking Fund Target Price Odds to finish over 86.80
The tendency of Banking 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 above the current price in 90 days |
| 86.80 | 90 days | 86.80 | about 72.02 |
Based on a normal probability distribution, the odds of Banking Fund to move above the current price in 90 days from now is about 72.02 (This Banking Fund Class probability density function shows the probability of Banking Mutual Fund to fall within a particular range of prices over 90 days) .
Assuming the 90 days horizon Banking Fund has a beta of 0.13 indicating as returns on the market go up, Banking Fund average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding Banking Fund Class will be expected to be much smaller as well. Additionally Banking Fund Class has an alpha of 0.0791, implying that it can generate a 0.0791 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). Banking Fund Price Density |
| Price |
Predictive Modules for Banking Fund
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Banking Fund Class. 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.Banking Fund Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Banking Fund is not an exception. The market had few large corrections towards the Banking Fund'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 Banking Fund Class, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Banking Fund within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.08 | |
β | Beta against Dow Jones | 0.13 | |
σ | Overall volatility | 5.21 | |
Ir | Information ratio | 0.03 |
Banking Fund 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 Banking Fund for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Banking Fund Class can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.Banking Fund Technical Analysis
Banking Fund's future price can be derived by breaking down and analyzing its technical indicators over time. Banking Mutual Fund technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Banking Fund Class. In general, you should focus on analyzing Banking Mutual Fund price patterns and their correlations with different microeconomic environments and drivers.
Banking Fund Predictive Forecast Models
Banking Fund's time-series forecasting models is one of many Banking Fund'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 Banking Fund'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 Banking Fund Class
Checking the ongoing alerts about Banking Fund for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Banking Fund Class help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
Other Information on Investing in Banking Mutual Fund
Banking Fund financial ratios help investors to determine whether Banking 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 Banking with respect to the benefits of owning Banking Fund security.
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