Vulcan Materials Stock Forecast - 8 Period Moving Average
| VMC Stock | EUR 272.00 4.00 1.49% |
The 8 Period Moving Average forecasted value of Vulcan Materials on the next trading day is expected to be 269.50 with a mean absolute deviation of 6.69 and the sum of the absolute errors of 361.15. Vulcan Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Vulcan Materials' historical fundamentals, such as revenue growth or operating cash flow patterns.
Vulcan |
Vulcan Materials 8 Period Moving Average Price Forecast For the 30th of November
Given 90 days horizon, the 8 Period Moving Average forecasted value of Vulcan Materials on the next trading day is expected to be 269.50 with a mean absolute deviation of 6.69, mean absolute percentage error of 77.98, and the sum of the absolute errors of 361.15.Please note that although there have been many attempts to predict Vulcan 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 Vulcan Materials' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Vulcan Materials Stock Forecast Pattern
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Vulcan Materials Forecasted Value
In the context of forecasting Vulcan Materials' 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. Vulcan Materials' downside and upside margins for the forecasting period are 267.55 and 271.45, respectively. We have considered Vulcan Materials' 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 8 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of Vulcan Materials stock data series using in forecasting. Note that when a statistical model is used to represent Vulcan Materials 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 | 109.6018 |
| Bias | Arithmetic mean of the errors | -5.0234 |
| MAD | Mean absolute deviation | 6.6879 |
| MAPE | Mean absolute percentage error | 0.0271 |
| SAE | Sum of the absolute errors | 361.1463 |
Predictive Modules for Vulcan Materials
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Vulcan Materials. 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.Other Forecasting Options for Vulcan Materials
For every potential investor in Vulcan, whether a beginner or expert, Vulcan Materials' price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Vulcan Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Vulcan. Basic forecasting techniques help filter out the noise by identifying Vulcan Materials' price trends.Vulcan Materials 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 Vulcan Materials stock to make a market-neutral strategy. Peer analysis of Vulcan Materials could also be used in its relative valuation, which is a method of valuing Vulcan Materials by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Vulcan Materials 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 Vulcan Materials' 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 Vulcan Materials' current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Vulcan Materials Market Strength Events
Market strength indicators help investors to evaluate how Vulcan Materials stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Vulcan Materials shares will generate the highest return on investment. By undertsting and applying Vulcan Materials stock market strength indicators, traders can identify Vulcan Materials entry and exit signals to maximize returns.
| Daily Balance Of Power | 9.2 T | |||
| Rate Of Daily Change | 1.01 | |||
| Day Median Price | 272.0 | |||
| Day Typical Price | 272.0 | |||
| Price Action Indicator | 2.0 | |||
| Period Momentum Indicator | 4.0 |
Vulcan Materials Risk Indicators
The analysis of Vulcan Materials' 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 Vulcan Materials' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting vulcan 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 | 1.23 | |||
| Semi Deviation | 1.07 | |||
| Standard Deviation | 1.93 | |||
| Variance | 3.72 | |||
| Downside Variance | 2.9 | |||
| Semi Variance | 1.15 | |||
| Expected Short fall | (1.68) |
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.
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Additional Information and Resources on Investing in Vulcan Stock
When determining whether Vulcan Materials offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Vulcan Materials' financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Vulcan Materials Stock. Outlined below are crucial reports that will aid in making a well-informed decision on Vulcan Materials Stock:Check out Historical Fundamental Analysis of Vulcan Materials to cross-verify your projections. For more detail on how to invest in Vulcan Stock please use our How to Invest in Vulcan Materials guide.You can also try the Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.