# Via Renewables Preferred Stock Forecast - Simple Regression

 VIASP Preferred Stock USD 21.39  0.25  1.16%
The Simple Regression forecasted value of Via Renewables on the next trading day is expected to be 20.81 with a mean absolute deviation of 1.17 and the sum of the absolute errors of 71.42. Via Preferred Stock Forecast is based on your current time horizon.
 Via
Simple Regression model is a single variable regression model that attempts to put a straight line through Via Renewables price points. This line is defined by its gradient or slope, and the point at which it intercepts the x-axis. Mathematically, assuming the independent variable is X and the dependent variable is Y, then this line can be represented as: Y = intercept + slope * X.

## Via Renewables Simple Regression Price Forecast For the 13th of September 2024

Given 90 days horizon, the Simple Regression forecasted value of Via Renewables on the next trading day is expected to be 20.81 with a mean absolute deviation of 1.17, mean absolute percentage error of 1.92, and the sum of the absolute errors of 71.42.
Please note that although there have been many attempts to predict Via Preferred Stock 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 Via Renewables' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

## Via Renewables Forecasted Value

In the context of forecasting Via Renewables' Preferred Stock 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. Via Renewables' downside and upside margins for the forecasting period are 18.14 and 23.48, respectively. We have considered Via Renewables' 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
 18.14Downside 20.81Expected ValueTarget Odds 23.48Upside

## Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Simple Regression forecasting method's relative quality and the estimations of the prediction error of Via Renewables preferred stock data series using in forecasting. Note that when a statistical model is used to represent Via Renewables preferred stock, 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.
 AIC Akaike Information Criteria 118.7648 Bias Arithmetic mean of the errors None MAD Mean absolute deviation 1.1708 MAPE Mean absolute percentage error 0.0568 SAE Sum of the absolute errors 71.4209
In general, regression methods applied to historical equity returns or prices series is an area of active research. In recent decades, new methods have been developed for robust regression of price series such as Via Renewables historical returns. These new methods are regression involving correlated responses such as growth curves and different regression methods accommodating various types of missing data.

## Predictive Modules for Via Renewables

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Via Renewables. 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.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Via Renewables' price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Hype
Prediction
 Low Estimated High 18.97 21.64 24.31
Intrinsic
Valuation
 Low Real High 14.90 17.57 23.80
Bollinger
Band Projection (param)
 Low Middle High 21.49 21.65 21.81

## Other Forecasting Options for Via Renewables

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

## Via Renewables 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 Via Renewables preferred stock to make a market-neutral strategy. Peer analysis of Via Renewables could also be used in its relative valuation, which is a method of valuing Via Renewables by comparing valuation metrics with similar companies.
 Risk & Return Correlation

## Via Renewables Technical and Predictive Analytics

The preferred stock market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Via Renewables' 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 Via Renewables' current price.
 Cycle Indicators Math Operators Math Transform Momentum Indicators Overlap Studies Pattern Recognition Price Transform Statistic Functions Volatility Indicators Volume Indicators

## Via Renewables Market Strength Events

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

## Via Renewables Risk Indicators

The analysis of Via Renewables' 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 Via Renewables' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting via preferred stock 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.
 Mean Deviation 1.61 Standard Deviation 2.6 Variance 6.78
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 Via Renewables

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 Via Renewables 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 Via Renewables will appreciate offsetting losses from the drop in the long position's value.

### Moving against Via Preferred Stock

 0.53 HE Hawaiian Electric PairCorr 0.49 GNE Genie Energy PairCorr
The ability to find closely correlated positions to Via Renewables could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Via Renewables 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 Via Renewables - 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 Via Renewables to buy it.
The correlation of Via Renewables 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 Via Renewables moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Via Renewables 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 Via Renewables 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.

## Additional Tools for Via Preferred Stock Analysis

When running Via Renewables' price analysis, check to measure Via Renewables' market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Via Renewables is operating at the current time. Most of Via Renewables' value examination focuses on studying past and present price action to predict the probability of Via Renewables' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Via Renewables' price. Additionally, you may evaluate how the addition of Via Renewables to your portfolios can decrease your overall portfolio volatility.