EDPPL 171 24 JAN 28 Chance of Future Bond Price Finishing Over 84.56
| 26835PAH3 | 84.56 6.31 6.94% |
EDPPL |
EDPPL Target Price Odds to finish over 84.56
The tendency of EDPPL 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 move above the current price in 90 days |
| 84.56 | 90 days | 84.56 | close to 99 |
Based on a normal probability distribution, the odds of EDPPL to move above the current price in 90 days from now is close to 99 (This EDPPL 171 24 JAN 28 probability density function shows the probability of EDPPL Bond to fall within a particular range of prices over 90 days) .
Assuming the 90 days trading horizon EDPPL has a beta of 0.13. This usually implies as returns on the market go up, EDPPL average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding EDPPL 171 24 JAN 28 will be expected to be much smaller as well. Additionally EDPPL 171 24 JAN 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. EDPPL Price Density |
| Price |
Predictive Modules for EDPPL
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as EDPPL 171 24. 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.EDPPL Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. EDPPL is not an exception. The market had few large corrections towards the EDPPL'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 EDPPL 171 24 JAN 28, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of EDPPL within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | -0.22 | |
β | Beta against Dow Jones | 0.13 | |
σ | Overall volatility | 1.28 | |
Ir | Information ratio | -0.29 |
EDPPL 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 EDPPL for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for EDPPL 171 24 can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.| EDPPL 171 24 generated a negative expected return over the last 90 days |
EDPPL Technical Analysis
EDPPL's future price can be derived by breaking down and analyzing its technical indicators over time. EDPPL Bond technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of EDPPL 171 24 JAN 28. In general, you should focus on analyzing EDPPL Bond price patterns and their correlations with different microeconomic environments and drivers.
EDPPL Predictive Forecast Models
EDPPL's time-series forecasting models is one of many EDPPL'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 EDPPL'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 EDPPL 171 24
Checking the ongoing alerts about EDPPL for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for EDPPL 171 24 help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
| EDPPL 171 24 generated a negative expected return over the last 90 days |
Other Information on Investing in EDPPL Bond
EDPPL financial ratios help investors to determine whether EDPPL 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 EDPPL with respect to the benefits of owning EDPPL security.