Swan Defined Risk Fund Probability of Future Mutual Fund Price Finishing Under 13.82
| SDCAX Fund | USD 14.75 0.02 0.14% |
Swan |
Swan Defined Target Price Odds to finish below 13.82
The tendency of Swan 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 drop to $ 13.82 or more in 90 days |
| 14.75 | 90 days | 13.82 | about 38.79 |
Based on a normal probability distribution, the odds of Swan Defined to drop to $ 13.82 or more in 90 days from now is about 38.79 (This Swan Defined Risk probability density function shows the probability of Swan Mutual Fund to fall within a particular range of prices over 90 days) . Probability of Swan Defined Risk price to stay between $ 13.82 and its current price of $14.75 at the end of the 90-day period is about 58.81 .
Assuming the 90 days horizon Swan Defined has a beta of 0.94. This usually implies Swan Defined Risk market returns are sensitive to returns on the market. As the market goes up or down, Swan Defined is expected to follow. Additionally Swan Defined Risk has an alpha of 0.0024, implying that it can generate a 0.002408 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). Swan Defined Price Density |
| Price |
Predictive Modules for Swan Defined
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Swan Defined Risk. 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.Swan Defined Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Swan Defined is not an exception. The market had few large corrections towards the Swan Defined'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 Swan Defined Risk, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Swan Defined within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0 | |
β | Beta against Dow Jones | 0.94 | |
σ | Overall volatility | 0.40 | |
Ir | Information ratio | -0.0055 |
Swan Defined 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 Swan Defined for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Swan Defined Risk 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 generated three year return of 0.0% | |
| Swan Defined Risk maintains 97.97% of its assets in stocks |
Swan Defined Technical Analysis
Swan Defined's future price can be derived by breaking down and analyzing its technical indicators over time. Swan Mutual Fund technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Swan Defined Risk. In general, you should focus on analyzing Swan Mutual Fund price patterns and their correlations with different microeconomic environments and drivers.
Swan Defined Predictive Forecast Models
Swan Defined's time-series forecasting models is one of many Swan Defined'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 Swan Defined'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 Swan Defined Risk
Checking the ongoing alerts about Swan Defined for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Swan Defined Risk help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
| The fund generated three year return of 0.0% | |
| Swan Defined Risk maintains 97.97% of its assets in stocks |
Other Information on Investing in Swan Mutual Fund
Swan Defined financial ratios help investors to determine whether Swan 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 Swan with respect to the benefits of owning Swan Defined security.
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