Financial Services Portfolio Fund Probability of Future Mutual Fund Price Finishing Over 13.44
| SFPAX Fund | USD 11.50 0.14 1.23% |
Financial |
Financial Services Target Price Odds to finish over 13.44
The tendency of Financial 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 $ 13.44 or more in 90 days |
| 11.50 | 90 days | 13.44 | near 1 |
Based on a normal probability distribution, the odds of Financial Services to move over $ 13.44 or more in 90 days from now is near 1 (This Financial Services Portfolio probability density function shows the probability of Financial Mutual Fund to fall within a particular range of prices over 90 days) . Probability of Financial Services price to stay between its current price of $ 11.50 and $ 13.44 at the end of the 90-day period is near 1 .
Assuming the 90 days horizon Financial Services Portfolio has a beta of -0.14. This usually implies as returns on the benchmark increase, returns on holding Financial Services are expected to decrease at a much lower rate. During a bear market, however, Financial Services Portfolio is likely to outperform the market. Additionally Financial Services Portfolio has an alpha of 0.2516, implying that it can generate a 0.25 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). Financial Services Price Density |
| Price |
Predictive Modules for Financial Services
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Financial Services. 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.Financial Services Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Financial Services is not an exception. The market had few large corrections towards the Financial Services' 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 Financial Services Portfolio, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Financial Services within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.25 | |
β | Beta against Dow Jones | -0.14 | |
σ | Overall volatility | 0.48 | |
Ir | Information ratio | 0.1 |
Financial Services 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 Financial Services for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Financial Services can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.Financial Services Technical Analysis
Financial Services' future price can be derived by breaking down and analyzing its technical indicators over time. Financial Mutual Fund technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Financial Services Portfolio. In general, you should focus on analyzing Financial Mutual Fund price patterns and their correlations with different microeconomic environments and drivers.
Financial Services Predictive Forecast Models
Financial Services' time-series forecasting models is one of many Financial Services' 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 Financial Services' 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 Financial Services
Checking the ongoing alerts about Financial Services for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Financial Services 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 Financial Mutual Fund
Financial Services financial ratios help investors to determine whether Financial 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 Financial with respect to the benefits of owning Financial Services security.
| Premium Stories Follow Macroaxis premium stories from verified contributors across different equity types, categories and coverage scope | |
| Idea Optimizer Use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio | |
| Portfolio Optimization Compute new portfolio that will generate highest expected return given your specified tolerance for risk | |
| Stocks Directory Find actively traded stocks across global markets |