ONCOR ELEC DELIVERY Chance of Future Bond Price Finishing Under 85.51
| 68233JBG8 | 88.47 6.17 7.50% |
ONCOR |
ONCOR Target Price Odds to finish below 85.51
The tendency of ONCOR 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 85.51 or more in 90 days |
| 88.47 | 90 days | 85.51 | about 81.89 |
Based on a normal probability distribution, the odds of ONCOR to drop to 85.51 or more in 90 days from now is about 81.89 (This ONCOR ELEC DELIVERY probability density function shows the probability of ONCOR Bond to fall within a particular range of prices over 90 days) . Probability of ONCOR ELEC DELIVERY price to stay between 85.51 and its current price of 88.47 at the end of the 90-day period is about 16.69 .
Assuming the 90 days trading horizon ONCOR has a beta of 0.23. This usually implies as returns on the market go up, ONCOR average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding ONCOR ELEC DELIVERY will be expected to be much smaller as well. Additionally ONCOR ELEC DELIVERY has an alpha of 0.1131, implying that it can generate a 0.11 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). ONCOR Price Density |
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Predictive Modules for ONCOR
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as ONCOR ELEC DELIVERY. 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.ONCOR Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. ONCOR is not an exception. The market had few large corrections towards the ONCOR'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 ONCOR ELEC DELIVERY, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of ONCOR within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.11 | |
β | Beta against Dow Jones | 0.23 | |
σ | Overall volatility | 2.18 | |
Ir | Information ratio | 0.01 |
ONCOR Technical Analysis
ONCOR's future price can be derived by breaking down and analyzing its technical indicators over time. ONCOR Bond technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of ONCOR ELEC DELIVERY. In general, you should focus on analyzing ONCOR Bond price patterns and their correlations with different microeconomic environments and drivers.
ONCOR Predictive Forecast Models
ONCOR's time-series forecasting models is one of many ONCOR'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 ONCOR'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 ONCOR 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, ONCOR's short interest history, or implied volatility extrapolated from ONCOR options trading.
Other Information on Investing in ONCOR Bond
ONCOR financial ratios help investors to determine whether ONCOR 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 ONCOR with respect to the benefits of owning ONCOR security.