Columbia Seligman Munications Fund Probability of Future Mutual Fund Price Finishing Over 128.12
| SCIRX Fund | USD 128.12 1.03 0.81% |
Columbia |
Columbia Seligman Target Price Odds to finish over 128.12
The tendency of Columbia 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 |
| 128.12 | 90 days | 128.12 | roughly 2.79 |
Based on a normal probability distribution, the odds of Columbia Seligman to move above the current price in 90 days from now is roughly 2.79 (This Columbia Seligman Munications probability density function shows the probability of Columbia Mutual Fund to fall within a particular range of prices over 90 days) .
Assuming the 90 days horizon the mutual fund has the beta coefficient of 1.09 . This usually implies Columbia Seligman Munications market returns are sensitive to returns on the market. As the market goes up or down, Columbia Seligman is expected to follow. Additionally Columbia Seligman Munications has an alpha of 0.0172, implying that it can generate a 0.0172 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). Columbia Seligman Price Density |
| Price |
Predictive Modules for Columbia Seligman
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Columbia Seligman. 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.Columbia Seligman Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Columbia Seligman is not an exception. The market had few large corrections towards the Columbia Seligman'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 Columbia Seligman Munications, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Columbia Seligman within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.02 | |
β | Beta against Dow Jones | 1.09 | |
σ | Overall volatility | 4.55 | |
Ir | Information ratio | 0.02 |
Columbia Seligman 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 Columbia Seligman for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Columbia Seligman can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.Columbia Seligman Technical Analysis
Columbia Seligman's future price can be derived by breaking down and analyzing its technical indicators over time. Columbia Mutual Fund technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Columbia Seligman Munications. In general, you should focus on analyzing Columbia Mutual Fund price patterns and their correlations with different microeconomic environments and drivers.
Columbia Seligman Predictive Forecast Models
Columbia Seligman's time-series forecasting models is one of many Columbia Seligman'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 Columbia Seligman'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 Columbia Seligman
Checking the ongoing alerts about Columbia Seligman for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Columbia Seligman 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 Columbia Mutual Fund
Columbia Seligman financial ratios help investors to determine whether Columbia 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 Columbia with respect to the benefits of owning Columbia Seligman security.
| Portfolio Optimization Compute new portfolio that will generate highest expected return given your specified tolerance for risk | |
| Portfolio Analyzer Portfolio analysis module that provides access to portfolio diagnostics and optimization engine | |
| Theme Ratings Determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance | |
| FinTech Suite Use AI to screen and filter profitable investment opportunities |