CMCSA 2887 01 NOV 51 Chance of Future Bond Price Finishing Under 69.62
| 20030NDS7 | 69.90 5.81 9.07% |
CMCSA |
CMCSA Target Price Odds to finish below 69.62
The tendency of CMCSA 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 69.62 or more in 90 days |
| 69.90 | 90 days | 69.62 | roughly 96.0 |
Based on a normal probability distribution, the odds of CMCSA to drop to 69.62 or more in 90 days from now is roughly 96.0 (This CMCSA 2887 01 NOV 51 probability density function shows the probability of CMCSA Bond to fall within a particular range of prices over 90 days) . Probability of CMCSA 2887 01 price to stay between 69.62 and its current price of 69.9 at the end of the 90-day period is near 1 .
Assuming the 90 days trading horizon CMCSA has a beta of 0.13. This usually implies as returns on the market go up, CMCSA average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding CMCSA 2887 01 NOV 51 will be expected to be much smaller as well. Additionally CMCSA 2887 01 NOV 51 has an alpha of 0.112, implying that it can generate a 0.11 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). CMCSA Price Density |
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Predictive Modules for CMCSA
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as CMCSA 2887 01. 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.CMCSA Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. CMCSA is not an exception. The market had few large corrections towards the CMCSA'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 CMCSA 2887 01 NOV 51, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of CMCSA within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.11 | |
β | Beta against Dow Jones | 0.13 | |
σ | Overall volatility | 2.42 | |
Ir | Information ratio | 0 |
CMCSA Technical Analysis
CMCSA's future price can be derived by breaking down and analyzing its technical indicators over time. CMCSA Bond technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of CMCSA 2887 01 NOV 51. In general, you should focus on analyzing CMCSA Bond price patterns and their correlations with different microeconomic environments and drivers.
CMCSA Predictive Forecast Models
CMCSA's time-series forecasting models is one of many CMCSA'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 CMCSA'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.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards CMCSA in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, CMCSA's short interest history, or implied volatility extrapolated from CMCSA options trading.
Other Information on Investing in CMCSA Bond
CMCSA financial ratios help investors to determine whether CMCSA 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 CMCSA with respect to the benefits of owning CMCSA security.