US Silica Stock Forecast - Polynomial Regression
The Polynomial Regression forecasted value of US Silica Holdings on the next trading day is expected to be 11.47 with a mean absolute deviation of 0.76 and the sum of the absolute errors of 46.23. SLCA Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast US Silica stock prices and determine the direction of US Silica Holdings's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of US Silica's historical fundamentals, such as revenue growth or operating cash flow patterns.
SLCA |
US Silica Polynomial Regression Price Forecast For the 30th of November
Given 90 days horizon, the Polynomial Regression forecasted value of US Silica Holdings on the next trading day is expected to be 11.47 with a mean absolute deviation of 0.76, mean absolute percentage error of 3.04, and the sum of the absolute errors of 46.23.Please note that although there have been many attempts to predict SLCA 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 US Silica's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
US Silica Stock Forecast Pattern
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Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Polynomial Regression forecasting method's relative quality and the estimations of the prediction error of US Silica stock data series using in forecasting. Note that when a statistical model is used to represent US Silica 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 | 119.2216 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.7579 |
| MAPE | Mean absolute percentage error | 9.223372036854776E14 |
| SAE | Sum of the absolute errors | 46.2334 |
Predictive Modules for US Silica
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as US Silica Holdings. 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 US Silica's 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.
US Silica 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 US Silica stock to make a market-neutral strategy. Peer analysis of US Silica could also be used in its relative valuation, which is a method of valuing US Silica by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
US Silica Risk Indicators
The analysis of US Silica's 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 US Silica's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting slca 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 | 0.1846 | |||
| Standard Deviation | 0.2956 | |||
| Variance | 0.0874 |
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.
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.Check out World Market Map to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in main economic indicators. You can also try the Portfolio Anywhere module to track or share privately all of your investments from the convenience of any device.
Other Consideration for investing in SLCA Stock
If you are still planning to invest in US Silica Holdings check if it may still be traded through OTC markets such as Pink Sheets or OTC Bulletin Board. You may also purchase it directly from the company, but this is not always possible and may require contacting the company directly. Please note that delisted stocks are often considered to be more risky investments, as they are no longer subject to the same regulatory and reporting requirements as listed stocks. Therefore, it is essential to carefully research the US Silica's history and understand the potential risks before investing.
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