CIGNA P 305 Chance of Future Bond Price Finishing Under 90.73
| 125509BV0 | 93.27 2.56 2.67% |
CIGNA |
CIGNA Target Price Odds to finish below 90.73
The tendency of CIGNA Bond 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 90.73 or more in 90 days |
| 93.27 | 90 days | 90.73 | near 1 |
Based on a normal probability distribution, the odds of CIGNA to drop to 90.73 or more in 90 days from now is near 1 (This CIGNA P 305 probability density function shows the probability of CIGNA Bond to fall within a particular range of prices over 90 days) . Probability of CIGNA P 305 price to stay between 90.73 and its current price of 93.27 at the end of the 90-day period is about 7.81 .
Assuming the 90 days trading horizon CIGNA P 305 has a beta of -0.076. This usually implies as returns on the benchmark increase, returns on holding CIGNA are expected to decrease at a much lower rate. During a bear market, however, CIGNA P 305 is likely to outperform the market. Additionally CIGNA P 305 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. CIGNA Price Density |
| Price |
Predictive Modules for CIGNA
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as CIGNA P 305. Regardless of method or technology, however, to accurately forecast the bond market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the bond 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.CIGNA Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. CIGNA is not an exception. The market had few large corrections towards the CIGNA'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 CIGNA P 305, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of CIGNA within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | -0.01 | |
β | Beta against Dow Jones | -0.08 | |
σ | Overall volatility | 1.59 | |
Ir | Information ratio | -0.08 |
CIGNA 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 CIGNA for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for CIGNA P 305 can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.| CIGNA P 305 generated a negative expected return over the last 90 days |
CIGNA Technical Analysis
CIGNA's future price can be derived by breaking down and analyzing its technical indicators over time. CIGNA Bond technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of CIGNA P 305. In general, you should focus on analyzing CIGNA Bond price patterns and their correlations with different microeconomic environments and drivers.
CIGNA Predictive Forecast Models
CIGNA's time-series forecasting models is one of many CIGNA's bond 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 CIGNA'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 bond market movement and maximize returns from investment trading.
Things to note about CIGNA P 305
Checking the ongoing alerts about CIGNA for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for CIGNA P 305 help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
| CIGNA P 305 generated a negative expected return over the last 90 days |
Other Information on Investing in CIGNA Bond
CIGNA financial ratios help investors to determine whether CIGNA Bond 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 CIGNA with respect to the benefits of owning CIGNA security.