Quanta Services Stock Forecast - Simple Regression
| PWR Stock | USD 342.92 1.00 0.29% |
The Simple Regression forecasted value of Quanta Services on the next trading day is expected to be 342.02 with a mean absolute deviation of 8.11 and the sum of the absolute errors of 502.93. Quanta Stock Forecast is based on your current time horizon. Although Quanta Services' naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of Quanta Services' systematic risk associated with finding meaningful patterns of Quanta Services fundamentals over time.
Quanta |
Quanta Services Simple Regression Price Forecast For the 27th of November
Given 90 days horizon, the Simple Regression forecasted value of Quanta Services on the next trading day is expected to be 342.02 with a mean absolute deviation of 8.11, mean absolute percentage error of 89.90, and the sum of the absolute errors of 502.93.Please note that although there have been many attempts to predict Quanta 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 Quanta Services' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Quanta Services Stock Forecast Pattern
| Backtest Quanta Services | Quanta Services Price Prediction | Buy or Sell Advice |
Quanta Services Forecasted Value
In the context of forecasting Quanta Services' 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. Quanta Services' downside and upside margins for the forecasting period are 340.21 and 343.83, respectively. We have considered Quanta Services' 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.
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 Quanta Services stock data series using in forecasting. Note that when a statistical model is used to represent Quanta Services 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 | 124.4471 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 8.1118 |
| MAPE | Mean absolute percentage error | 0.0278 |
| SAE | Sum of the absolute errors | 502.9305 |
Predictive Modules for Quanta Services
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Quanta Services. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the 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 Quanta Services' 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.
Other Forecasting Options for Quanta Services
For every potential investor in Quanta, whether a beginner or expert, Quanta Services' price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Quanta Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Quanta. Basic forecasting techniques help filter out the noise by identifying Quanta Services' price trends.Quanta Services 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 Quanta Services stock to make a market-neutral strategy. Peer analysis of Quanta Services could also be used in its relative valuation, which is a method of valuing Quanta Services by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Quanta Services Technical and Predictive Analytics
The stock market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Quanta Services' 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 Quanta Services' current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Quanta Services Market Strength Events
Market strength indicators help investors to evaluate how Quanta Services stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Quanta Services shares will generate the highest return on investment. By undertsting and applying Quanta Services stock market strength indicators, traders can identify Quanta Services entry and exit signals to maximize returns.
Quanta Services Risk Indicators
The analysis of Quanta Services' 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 Quanta Services' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting quanta 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 | 1.21 | |||
| Semi Deviation | 1.34 | |||
| Standard Deviation | 1.8 | |||
| Variance | 3.24 | |||
| Downside Variance | 2.78 | |||
| Semi Variance | 1.81 | |||
| Expected Short fall | (1.41) |
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 Quanta Services
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 Quanta Services 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 Quanta Services will appreciate offsetting losses from the drop in the long position's value.Moving together with Quanta Stock
| 0.86 | J | Jacobs Solutions | PairCorr |
| 0.7 | ESOA | Energy Services Fiscal Year End 16th of December 2024 | PairCorr |
The ability to find closely correlated positions to Quanta Services could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Quanta Services 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 Quanta Services - 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 Quanta Services to buy it.
The correlation of Quanta Services 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 Quanta Services moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Quanta Services 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 Quanta Services 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 Quanta Stock Analysis
When running Quanta Services' price analysis, check to measure Quanta Services' 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 Quanta Services is operating at the current time. Most of Quanta Services' value examination focuses on studying past and present price action to predict the probability of Quanta Services' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Quanta Services' price. Additionally, you may evaluate how the addition of Quanta Services to your portfolios can decrease your overall portfolio volatility.