Sce Trust Vi Preferred Stock Probability of Future Preferred Stock Price Finishing Over 20.74
| SCE-PL Preferred Stock | USD 20.47 0.28 1.35% |
SCE |
SCE Trust Target Price Odds to finish over 20.74
The tendency of SCE 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 move over $ 20.74 or more in 90 days |
| 20.47 | 90 days | 20.74 | about 23.35 |
Based on a normal probability distribution, the odds of SCE Trust to move over $ 20.74 or more in 90 days from now is about 23.35 (This SCE Trust VI probability density function shows the probability of SCE Preferred Stock to fall within a particular range of prices over 90 days) . Probability of SCE Trust VI price to stay between its current price of $ 20.47 and $ 20.74 at the end of the 90-day period is about 45.79 .
Assuming the 90 days trading horizon SCE Trust has a beta of 0.0448. This usually implies as returns on the market go up, SCE Trust average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding SCE Trust VI will be expected to be much smaller as well. Additionally SCE Trust VI has an alpha of 0.0116, implying that it can generate a 0.0116 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). SCE Trust Price Density |
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Predictive Modules for SCE Trust
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as SCE Trust VI. 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.SCE Trust Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. SCE Trust is not an exception. The market had few large corrections towards the SCE Trust'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 SCE Trust VI, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of SCE Trust within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.01 | |
β | Beta against Dow Jones | 0.04 | |
σ | Overall volatility | 0.22 | |
Ir | Information ratio | -0.18 |
SCE Trust Technical Analysis
SCE Trust's future price can be derived by breaking down and analyzing its technical indicators over time. SCE Preferred Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of SCE Trust VI. In general, you should focus on analyzing SCE Preferred Stock price patterns and their correlations with different microeconomic environments and drivers.
SCE Trust Predictive Forecast Models
SCE Trust's time-series forecasting models is one of many SCE Trust'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 SCE Trust'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 SCE Trust 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, SCE Trust's short interest history, or implied volatility extrapolated from SCE Trust options trading.
Other Information on Investing in SCE Preferred Stock
SCE Trust financial ratios help investors to determine whether SCE Preferred Stock 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 SCE with respect to the benefits of owning SCE Trust security.