SSR Mining Stock Forecast - Polynomial Regression

SSRM Stock  USD 6.34  0.10  1.60%   
The Polynomial Regression forecasted value of SSR Mining on the next trading day is expected to be 5.79 with a mean absolute deviation of 0.26 and the sum of the absolute errors of 15.81. SSR Stock Forecast is based on your current time horizon. Although SSR Mining's naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of SSR Mining's systematic risk associated with finding meaningful patterns of SSR Mining fundamentals over time.
  
At this time, SSR Mining's Payables Turnover is very stable compared to the past year. As of the 21st of October 2024, Receivables Turnover is likely to grow to 10.79, while Inventory Turnover is likely to drop 2.05. . As of the 21st of October 2024, Common Stock Shares Outstanding is likely to grow to about 214.9 M. Also, Net Income Applicable To Common Shares is likely to grow to about 234.4 M.
Most investors in SSR Mining cannot accurately predict what will happen the next trading day because, historically, stock markets tend to be unpredictable and even illogical. Modeling turbulent structures requires applying different statistical methods, techniques, and algorithms to find hidden data structures or patterns within the SSR Mining's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets SSR Mining's price structures and extracts relationships that further increase the accuracy of the generated results. SSR Mining polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for SSR Mining as well as the accuracy indicators are determined from the period prices.

SSR Mining Polynomial Regression Price Forecast For the 22nd of October

Given 90 days horizon, the Polynomial Regression forecasted value of SSR Mining on the next trading day is expected to be 5.79 with a mean absolute deviation of 0.26, mean absolute percentage error of 0.1, and the sum of the absolute errors of 15.81.
Please note that although there have been many attempts to predict SSR 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 SSR Mining's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

SSR Mining Stock Forecast Pattern

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SSR Mining Forecasted Value

In the context of forecasting SSR Mining's 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. SSR Mining's downside and upside margins for the forecasting period are 2.15 and 9.42, respectively. We have considered SSR Mining's 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.
Market Value
6.34
5.79
Expected Value
9.42
Upside

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 SSR Mining stock data series using in forecasting. Note that when a statistical model is used to represent SSR Mining 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.
AICAkaike Information Criteria115.7575
BiasArithmetic mean of the errors None
MADMean absolute deviation0.2592
MAPEMean absolute percentage error0.049
SAESum of the absolute errors15.8116
A single variable polynomial regression model attempts to put a curve through the SSR Mining historical price points. Mathematically, assuming the independent variable is X and the dependent variable is Y, this line can be indicated as: Y = a0 + a1*X + a2*X2 + a3*X3 + ... + am*Xm

Predictive Modules for SSR Mining

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as SSR Mining. 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 SSR Mining'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.
Hype
Prediction
LowEstimatedHigh
2.636.269.89
Details
Intrinsic
Valuation
LowRealHigh
5.629.9213.55
Details
9 Analysts
Consensus
LowTargetHigh
20.3422.3524.81
Details

Other Forecasting Options for SSR Mining

For every potential investor in SSR, whether a beginner or expert, SSR Mining's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. SSR Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in SSR. Basic forecasting techniques help filter out the noise by identifying SSR Mining's price trends.

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 Risk & Return  Correlation

SSR Mining 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 SSR Mining's 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 SSR Mining's current price.

SSR Mining Market Strength Events

Market strength indicators help investors to evaluate how SSR Mining stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading SSR Mining shares will generate the highest return on investment. By undertsting and applying SSR Mining stock market strength indicators, traders can identify SSR Mining entry and exit signals to maximize returns.

SSR Mining Risk Indicators

The analysis of SSR Mining'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 SSR Mining's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting ssr 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.
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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When determining whether SSR Mining is a strong investment it is important to analyze SSR Mining's competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact SSR Mining's future performance. For an informed investment choice regarding SSR Stock, refer to the following important reports:
Check out Historical Fundamental Analysis of SSR Mining to cross-verify your projections.
To learn how to invest in SSR Stock, please use our How to Invest in SSR Mining guide.
You can also try the Alpha Finder module to use alpha and beta coefficients to find investment opportunities after accounting for the risk.
Is Metals & Mining space expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of SSR Mining. If investors know SSR will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about SSR Mining listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth
(0.86)
Dividend Share
0.14
Earnings Share
(2.36)
Revenue Per Share
6.042
Quarterly Revenue Growth
(0.39)
The market value of SSR Mining is measured differently than its book value, which is the value of SSR that is recorded on the company's balance sheet. Investors also form their own opinion of SSR Mining's value that differs from its market value or its book value, called intrinsic value, which is SSR Mining's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because SSR Mining's market value can be influenced by many factors that don't directly affect SSR Mining's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between SSR Mining's value and its price as these two are different measures arrived at by different means. Investors typically determine if SSR Mining is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, SSR Mining's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.