Summit Materials Stock Forecast - Simple Exponential Smoothing
| 7SU Stock | 50.50 0.00 0.00% |
The Simple Exponential Smoothing forecasted value of Summit Materials on the next trading day is expected to be 50.50 with a mean absolute deviation of 0.28 and the sum of the absolute errors of 16.62. Summit Stock Forecast is based on your current time horizon.
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Summit Materials Simple Exponential Smoothing Price Forecast For the 2nd of March
Given 90 days horizon, the Simple Exponential Smoothing forecasted value of Summit Materials on the next trading day is expected to be 50.50 with a mean absolute deviation of 0.28, mean absolute percentage error of 0.30, and the sum of the absolute errors of 16.62.Please note that although there have been many attempts to predict Summit 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 Summit Materials' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Summit Materials Stock Forecast Pattern
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Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Simple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Summit Materials stock data series using in forecasting. Note that when a statistical model is used to represent Summit 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 | 115.0837 |
| Bias | Arithmetic mean of the errors | -0.0951 |
| MAD | Mean absolute deviation | 0.2769 |
| MAPE | Mean absolute percentage error | 0.0056 |
| SAE | Sum of the absolute errors | 16.6161 |
Predictive Modules for Summit 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 Summit 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.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Summit Materials' 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.
Summit 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 Summit Materials stock to make a market-neutral strategy. Peer analysis of Summit Materials could also be used in its relative valuation, which is a method of valuing Summit Materials by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Summit Materials Market Strength Events
Market strength indicators help investors to evaluate how Summit 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 Summit Materials shares will generate the highest return on investment. By undertsting and applying Summit Materials stock market strength indicators, traders can identify Summit Materials entry and exit signals to maximize returns.
Summit Materials Risk Indicators
The analysis of Summit 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 Summit Materials' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting summit 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 | 0.831 | |||
| Semi Deviation | 0.3256 | |||
| Standard Deviation | 1.65 | |||
| Variance | 2.71 | |||
| Downside Variance | 0.8108 | |||
| Semi Variance | 0.106 | |||
| Expected Short fall | (1.56) |
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 Tools for Summit Stock Analysis
When running Summit Materials' price analysis, check to measure Summit Materials' 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 Summit Materials is operating at the current time. Most of Summit Materials' value examination focuses on studying past and present price action to predict the probability of Summit Materials' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Summit Materials' price. Additionally, you may evaluate how the addition of Summit Materials to your portfolios can decrease your overall portfolio volatility.