College Retirement Equities Fund Probability of Future Fund Price Finishing Under 519.7
| QCEQRX Fund | USD 485.70 0.22 0.05% |
College |
College Retirement Target Price Odds to finish below 519.7
The tendency of College 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 stay under $ 519.70 after 90 days |
| 485.70 | 90 days | 519.70 | about 77.04 |
Based on a normal probability distribution, the odds of College Retirement to stay under $ 519.70 after 90 days from now is about 77.04 (This College Retirement Equities probability density function shows the probability of College Fund to fall within a particular range of prices over 90 days) . Probability of College Retirement price to stay between its current price of $ 485.70 and $ 519.70 at the end of the 90-day period is about 70.72 .
Assuming the 90 days trading horizon College Retirement has a beta of 0.85 indicating College Retirement Equities market returns are sensitive to returns on the market. As the market goes up or down, College Retirement is expected to follow. Additionally College Retirement Equities 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. College Retirement Price Density |
| Price |
Predictive Modules for College Retirement
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as College Retirement. Regardless of method or technology, however, to accurately forecast the fund market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the 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.College Retirement Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. College Retirement is not an exception. The market had few large corrections towards the College Retirement'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 College Retirement Equities, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of College Retirement within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | -0.04 | |
β | Beta against Dow Jones | 0.85 | |
σ | Overall volatility | 15.07 | |
Ir | Information ratio | -0.02 |
College Retirement 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 College Retirement for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for College Retirement can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.| College Retirement generated a negative expected return over the last 90 days |
College Retirement Technical Analysis
College Retirement's future price can be derived by breaking down and analyzing its technical indicators over time. College Fund technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of College Retirement Equities. In general, you should focus on analyzing College Fund price patterns and their correlations with different microeconomic environments and drivers.
College Retirement Predictive Forecast Models
College Retirement's time-series forecasting models is one of many College Retirement's 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 College Retirement'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 fund market movement and maximize returns from investment trading.
Things to note about College Retirement
Checking the ongoing alerts about College Retirement for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for College Retirement help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
| College Retirement generated a negative expected return over the last 90 days |
Other Information on Investing in College Fund
College Retirement financial ratios help investors to determine whether College 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 College with respect to the benefits of owning College Retirement security.
| Balance Of Power Check stock momentum by analyzing Balance Of Power indicator and other technical ratios | |
| Portfolio Rebalancing Analyze risk-adjusted returns against different time horizons to find asset-allocation targets | |
| Correlation Analysis Reduce portfolio risk simply by holding instruments which are not perfectly correlated | |
| Economic Indicators Top statistical indicators that provide insights into how an economy is performing |