Via Renewables Preferred Stock Market Value
| VIASP Preferred Stock | USD 22.90 0.20 0.88% |
| Symbol | Via |
Via Renewables' Earnings Breakdown by Geography
Via Renewables 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Via Renewables' preferred stock what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Via Renewables.
| 05/28/2023 |
| 05/22/2024 |
If you would invest 0.00 in Via Renewables on May 28, 2023 and sell it all today you would earn a total of 0.00 from holding Via Renewables or generate 0.0% return on investment in Via Renewables over 360 days. Via Renewables is related to or competes with Centrais Elétricas, Nextera Energy, Consumers Energy, CMS Energy, Equatorial Energia, Endesa SA, and Centrais Electricas. Via Renewables, Inc., through its subsidiaries, operates as an independent retail energy services company in the United ... More
Via Renewables Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Via Renewables' preferred stock current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Via Renewables upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.13 | |||
| Information Ratio | 0.1306 | |||
| Maximum Drawdown | 13.41 | |||
| Value At Risk | (2.60) | |||
| Potential Upside | 3.96 |
Via Renewables Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Via Renewables' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Via Renewables' standard deviation. In reality, there are many statistical measures that can use Via Renewables historical prices to predict the future Via Renewables' volatility.| Risk Adjusted Performance | 0.1039 | |||
| Jensen Alpha | 0.224 | |||
| Total Risk Alpha | 0.0867 | |||
| Sortino Ratio | 0.1298 | |||
| Treynor Ratio | 0.1993 |
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.
Via Renewables Backtested Returns
Via Renewables appears to be very steady, given 3 months investment horizon. Via Renewables owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.18, which indicates the firm had a 0.18% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Via Renewables, which you can use to evaluate the volatility of the company. Please review Via Renewables' Semi Deviation of 1.77, risk adjusted performance of 0.1039, and Coefficient Of Variation of 592.82 to confirm if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Via Renewables holds a performance score of 13. The entity has a beta of 1.74, which indicates a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Via Renewables will likely underperform. Please check Via Renewables' value at risk, and the relationship between the jensen alpha and skewness , to make a quick decision on whether Via Renewables' existing price patterns will revert.
Auto-correlation | 0.56 |
Modest predictability
Via Renewables has modest predictability. Overlapping area represents the amount of predictability between Via Renewables time series from 28th of May 2023 to 24th of November 2023 and 24th of November 2023 to 22nd of May 2024. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Via Renewables price movement. The serial correlation of 0.56 indicates that roughly 56.0% of current Via Renewables price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.56 | |
| Spearman Rank Test | 0.51 | |
| Residual Average | 0.0 | |
| Price Variance | 2.22 |
Via Renewables lagged returns against current returns
Autocorrelation, which is Via Renewables preferred stock's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting Via Renewables' preferred stock expected returns. We can calculate the autocorrelation of Via Renewables returns to help us make a trade decision. For example, suppose you find that Via Renewables has exhibited high autocorrelation historically, and you observe that the preferred stock is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values |
| Timeline |
Via Renewables regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If Via Renewables preferred stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Via Renewables preferred stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Via Renewables preferred stock over time.
Current vs Lagged Prices |
| Timeline |
Via Renewables Lagged Returns
When evaluating Via Renewables' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Via Renewables preferred stock have on its future price. Via Renewables autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, Via Renewables autocorrelation shows the relationship between Via Renewables preferred stock current value and its past values and can show if there is a momentum factor associated with investing in Via Renewables.
Regressed Prices |
| Timeline |
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Try AI Portfolio ArchitectCheck out Via Renewables Correlation, Via Renewables Volatility and Via Renewables Alpha and Beta module to complement your research on Via Renewables. To learn how to invest in Via Preferred Stock, please use our How to Invest in Via Renewables guide.You can also try the Aroon Oscillator module to analyze current equity momentum using Aroon Oscillator and other momentum ratios.
Complementary 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.
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Via Renewables technical preferred stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, preferred stock market cycles, or different charting patterns.