DVN 5875 15 JUN 28 Probability of Future Bond Price Finishing Under 100.04
| 25179MBE2 | 101.41 0.88 0.88% |
25179MBE2 |
25179MBE2 Target Price Odds to finish below 100.04
The tendency of 25179MBE2 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 100.04 or more in 90 days |
| 101.41 | 90 days | 100.04 | about 1.82 |
Based on a normal probability distribution, the odds of 25179MBE2 to drop to 100.04 or more in 90 days from now is about 1.82 (This DVN 5875 15 JUN 28 probability density function shows the probability of 25179MBE2 Bond to fall within a particular range of prices over 90 days) . Probability of DVN 5875 15 price to stay between 100.04 and its current price of 101.41 at the end of the 90-day period is about 92.14 .
Assuming the 90 days trading horizon 25179MBE2 has a beta of 0.12. This usually implies as returns on the market go up, 25179MBE2 average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding DVN 5875 15 JUN 28 will be expected to be much smaller as well. Additionally DVN 5875 15 JUN 28 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. 25179MBE2 Price Density |
| Price |
Predictive Modules for 25179MBE2
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as DVN 5875 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.25179MBE2 Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. 25179MBE2 is not an exception. The market had few large corrections towards the 25179MBE2'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 DVN 5875 15 JUN 28, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of 25179MBE2 within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | -0.02 | |
β | Beta against Dow Jones | 0.12 | |
σ | Overall volatility | 0.38 | |
Ir | Information ratio | -0.28 |
25179MBE2 Technical Analysis
25179MBE2's future price can be derived by breaking down and analyzing its technical indicators over time. 25179MBE2 Bond technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of DVN 5875 15 JUN 28. In general, you should focus on analyzing 25179MBE2 Bond price patterns and their correlations with different microeconomic environments and drivers.
25179MBE2 Predictive Forecast Models
25179MBE2's time-series forecasting models is one of many 25179MBE2'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 25179MBE2'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 25179MBE2 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, 25179MBE2's short interest history, or implied volatility extrapolated from 25179MBE2 options trading.
Other Information on Investing in 25179MBE2 Bond
25179MBE2 financial ratios help investors to determine whether 25179MBE2 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 25179MBE2 with respect to the benefits of owning 25179MBE2 security.