SCE Trust Pink Sheet Forecast - Polynomial Regression

SCE-PN Preferred Stock   26.35  0.03  0.11%   
The Polynomial Regression forecasted value of SCE Trust VIII on the next trading day is expected to be 26.34 with a mean absolute deviation of 0.08 and the sum of the absolute errors of 5.11. Investors can use prediction functions to forecast SCE Trust's preferred stock prices and determine the direction of SCE Trust VIII's future trends based on various well-known forecasting models. However, exclusively looking at the historical price movement is usually misleading. We recommend always using this module together with an analysis of SCE Trust's historical fundamentals, such as revenue growth or operating cash flow patterns. Check out World Market Map to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in board of governors.
  
SCE Trust polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for SCE Trust VIII as well as the accuracy indicators are determined from the period prices.

SCE Trust Polynomial Regression Price Forecast For the 13th of December 2024

Given 90 days horizon, the Polynomial Regression forecasted value of SCE Trust VIII on the next trading day is expected to be 26.34 with a mean absolute deviation of 0.08, mean absolute percentage error of 0.01, and the sum of the absolute errors of 5.11.
Please note that although there have been many attempts to predict SCE Pink Sheet prices using its time series forecasting, we generally do not recommend using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that SCE Trust's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

SCE Trust Pink Sheet Forecast Pattern

SCE Trust Forecasted Value

In the context of forecasting SCE Trust's Pink Sheet value on the next trading day, we examine the predictive performance of the model to find good statistically significant boundaries of downside and upside scenarios. SCE Trust's downside and upside margins for the forecasting period are 25.96 and 26.71, respectively. We have considered SCE Trust's daily market price to evaluate the above model's predictive performance. Remember, however, there is no scientific proof or empirical evidence that traditional linear or nonlinear forecasting models outperform artificial intelligence and frequency domain models to provide accurate forecasts consistently.
Market Value
26.35
26.34
Expected Value
26.71
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Polynomial Regression forecasting method's relative quality and the estimations of the prediction error of SCE Trust pink sheet data series using in forecasting. Note that when a statistical model is used to represent SCE Trust pink sheet, the representation will rarely be exact; so some information will be lost using the model to explain the process. AIC estimates the relative amount of information lost by a given model: the less information a model loses, the higher its quality.
AICAkaike Information Criteria115.7469
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0824
MAPEMean absolute percentage error0.0031
SAESum of the absolute errors5.1092
A single variable polynomial regression model attempts to put a curve through the SCE Trust historical price points. Mathematically, assuming the independent variable is X and the dependent variable is Y, this line can be indicated as: Y = a0 + a1*X + a2*X2 + a3*X3 + ... + am*Xm

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 VIII. Regardless of method or technology, however, to accurately forecast the pink sheet market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the pink sheet 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.

Other Forecasting Options for SCE Trust

For every potential investor in SCE, whether a beginner or expert, SCE Trust's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. SCE Pink Sheet price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in SCE. Basic forecasting techniques help filter out the noise by identifying SCE Trust's price trends.

SCE Trust Related Equities

One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with SCE Trust pink sheet to make a market-neutral strategy. Peer analysis of SCE Trust could also be used in its relative valuation, which is a method of valuing SCE Trust by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

SCE Trust VIII Technical and Predictive Analytics

The pink sheet market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of SCE Trust's price movements, a comprehensive understanding of forecasting methods that an investor can rely on to make the right move is invaluable. These methods predict trends that assist an investor in predicting the movement of SCE Trust's current price.

SCE Trust Market Strength Events

Market strength indicators help investors to evaluate how SCE Trust pink sheet reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading SCE Trust shares will generate the highest return on investment. By undertsting and applying SCE Trust pink sheet market strength indicators, traders can identify SCE Trust VIII entry and exit signals to maximize returns.

SCE Trust Risk Indicators

The analysis of SCE Trust's basic risk indicators is one of the essential steps in accurately forecasting its future price. The process involves identifying the amount of risk involved in SCE Trust's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting sce pink sheet prices, we also provide a set of basic risk indicators that can assist in the individual investment decision or help in hedging the risk of your existing portfolios.
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.

Pair Trading with SCE Trust

One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if SCE Trust position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in SCE Trust will appreciate offsetting losses from the drop in the long position's value.

Moving against SCE Pink Sheet

  0.57KEP Korea Electric PowerPairCorr
  0.55HE Hawaiian ElectricPairCorr
  0.45AGR AvangridPairCorr
  0.39EDN Empresa DistribuidoraPairCorr
The ability to find closely correlated positions to SCE Trust could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace SCE Trust when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back SCE Trust - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling SCE Trust VIII to buy it.
The correlation of SCE Trust is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as SCE Trust moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if SCE Trust VIII moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for SCE Trust can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.
Pair CorrelationCorrelation Matching