Columbia Thermostat Fund Probability of Future Mutual Fund Price Finishing Under 17.08
| CTFAX Fund | USD 17.08 0.03 0.18% |
Columbia |
Columbia Thermostat Target Price Odds to finish below 17.08
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 below current price in 90 days |
| 17.08 | 90 days | 17.08 | about 98.0 |
Based on a normal probability distribution, the odds of Columbia Thermostat to move below current price in 90 days from now is about 98.0 (This Columbia Thermostat Fund 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 Columbia Thermostat has a beta of 0.3 suggesting as returns on the market go up, Columbia Thermostat average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding Columbia Thermostat Fund will be expected to be much smaller as well. Additionally Columbia Thermostat Fund 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. Columbia Thermostat Price Density |
| Price |
Predictive Modules for Columbia Thermostat
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 Thermostat. 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 Thermostat Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Columbia Thermostat is not an exception. The market had few large corrections towards the Columbia Thermostat'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 Thermostat Fund, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Columbia Thermostat within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | -0.01 | |
β | Beta against Dow Jones | 0.30 | |
σ | Overall volatility | 0.12 | |
Ir | Information ratio | -0.25 |
Columbia Thermostat 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 Thermostat for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Columbia Thermostat 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 holds about 5.8% of its assets under management (AUM) in fixed income securities |
Columbia Thermostat Technical Analysis
Columbia Thermostat'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 Thermostat Fund. In general, you should focus on analyzing Columbia Mutual Fund price patterns and their correlations with different microeconomic environments and drivers.
Columbia Thermostat Predictive Forecast Models
Columbia Thermostat's time-series forecasting models is one of many Columbia Thermostat'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 Thermostat'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 Thermostat
Checking the ongoing alerts about Columbia Thermostat for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Columbia Thermostat help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
| The fund holds about 5.8% of its assets under management (AUM) in fixed income securities |
Other Information on Investing in Columbia Mutual Fund
Columbia Thermostat 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 Thermostat security.
| Fundamental Analysis View fundamental data based on most recent published financial statements | |
| Equity Forecasting Use basic forecasting models to generate price predictions and determine price momentum | |
| Instant Ratings Determine any equity ratings based on digital recommendations. Macroaxis instant equity ratings are based on combination of fundamental analysis and risk-adjusted market performance | |
| Content Syndication Quickly integrate customizable finance content to your own investment portal |