Enbridge Preferred Stock Odds of Future Preferred Stock Price Finishing Under 21.82
| ENB-PI Preferred Stock | 21.95 0.65 3.05% |
Enbridge |
Enbridge Target Price Odds to finish below 21.82
The tendency of Enbridge Preferred Stock 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 21.82 or more in 90 days |
| 21.95 | 90 days | 21.82 | about 91.55 |
Based on a normal probability distribution, the odds of Enbridge to drop to 21.82 or more in 90 days from now is about 91.55 (This Enbridge probability density function shows the probability of Enbridge Preferred Stock to fall within a particular range of prices over 90 days) . Probability of Enbridge price to stay between 21.82 and its current price of 21.95 at the end of the 90-day period is roughly 2.96 .
Assuming the 90 days trading horizon Enbridge has a beta of -0.0973 suggesting as returns on the benchmark increase, returns on holding Enbridge are expected to decrease at a much lower rate. During a bear market, however, Enbridge is likely to outperform the market. Additionally Enbridge has an alpha of 0.0781, implying that it can generate a 0.0781 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). Enbridge Price Density |
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Predictive Modules for Enbridge
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Enbridge. Regardless of method or technology, however, to accurately forecast the preferred stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the preferred stock 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.Enbridge Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Enbridge is not an exception. The market had few large corrections towards the Enbridge'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 Enbridge, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Enbridge within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.08 | |
β | Beta against Dow Jones | -0.1 | |
σ | Overall volatility | 0.57 | |
Ir | Information ratio | 0.24 |
Enbridge Technical Analysis
Enbridge's future price can be derived by breaking down and analyzing its technical indicators over time. Enbridge Preferred Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Enbridge. In general, you should focus on analyzing Enbridge Preferred Stock price patterns and their correlations with different microeconomic environments and drivers.
Enbridge Predictive Forecast Models
Enbridge's time-series forecasting models is one of many Enbridge's preferred stock 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 Enbridge'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 preferred stock 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 Enbridge 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, Enbridge's short interest history, or implied volatility extrapolated from Enbridge options trading.