COP 4025 15 MAR 62 Probability of Future Bond Price Finishing Under 85.74
| 20826FBD7 | 87.60 10.08 13.00% |
20826FBD7 |
20826FBD7 Target Price Odds to finish below 85.74
The tendency of 20826FBD7 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 85.74 or more in 90 days |
| 87.60 | 90 days | 85.74 | close to 99 |
Based on a normal probability distribution, the odds of 20826FBD7 to drop to 85.74 or more in 90 days from now is close to 99 (This COP 4025 15 MAR 62 probability density function shows the probability of 20826FBD7 Bond to fall within a particular range of prices over 90 days) . Probability of COP 4025 15 price to stay between 85.74 and its current price of 87.6 at the end of the 90-day period is near 1 .
Assuming the 90 days trading horizon COP 4025 15 MAR 62 has a beta of -0.55. This usually implies as returns on the benchmark increase, returns on holding 20826FBD7 are expected to decrease at a much lower rate. During a bear market, however, COP 4025 15 MAR 62 is likely to outperform the market. Additionally COP 4025 15 MAR 62 has an alpha of 0.2387, implying that it can generate a 0.24 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). 20826FBD7 Price Density |
| Price |
Predictive Modules for 20826FBD7
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as COP 4025 15. 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.20826FBD7 Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. 20826FBD7 is not an exception. The market had few large corrections towards the 20826FBD7'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 COP 4025 15 MAR 62, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of 20826FBD7 within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.24 | |
β | Beta against Dow Jones | -0.55 | |
σ | Overall volatility | 2.81 | |
Ir | Information ratio | 0.02 |
20826FBD7 Technical Analysis
20826FBD7's future price can be derived by breaking down and analyzing its technical indicators over time. 20826FBD7 Bond technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of COP 4025 15 MAR 62. In general, you should focus on analyzing 20826FBD7 Bond price patterns and their correlations with different microeconomic environments and drivers.
20826FBD7 Predictive Forecast Models
20826FBD7's time-series forecasting models is one of many 20826FBD7'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 20826FBD7'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 20826FBD7 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, 20826FBD7's short interest history, or implied volatility extrapolated from 20826FBD7 options trading.
Other Information on Investing in 20826FBD7 Bond
20826FBD7 financial ratios help investors to determine whether 20826FBD7 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 20826FBD7 with respect to the benefits of owning 20826FBD7 security.