SCHNITZER STEEL Stock Forecast - Polynomial Regression

SCHNITZER STEEL polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for SCHNITZER STEEL INDUSTRIES as well as the accuracy indicators are determined from the period prices.

SCHNITZER STEEL Polynomial Regression Price Forecast For the 23rd of November

Given 90 days horizon, the Polynomial Regression forecasted value of SCHNITZER STEEL INDUSTRIES on the next trading day is expected to be 31.47 with a mean absolute deviation of 1.08, mean absolute percentage error of 1.69, and the sum of the absolute errors of 66.14.

SCHNITZER STEEL Stock Forecast Pattern

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SCHNITZER STEEL Price Prediction

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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 SCHNITZER STEEL stock data series using in forecasting. Note that when a statistical model is used to represent SCHNITZER STEEL 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. A single variable polynomial regression model attempts to put a curve through the SCHNITZER STEEL 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 + ... + a_m*X^m

Predictive Modules for SCHNITZER STEEL

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as SCHNITZER STEEL INDU. 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.

Hype Prediction Low Estimated High 32.77 32.77 32.77 Details

Intrinsic Valuation Low Real High 26.69 26.69 36.05 Details

Bollinger Band Projection (param) Low Middle High 27.82 30.67 33.52 Details

Please note, it is not enough to conduct a financial or market analysis of a single entity such as SCHNITZER STEEL. Your research has to be compared to or analyzed against SCHNITZER STEEL's peers to derive any actionable benefits. When done correctly, SCHNITZER STEEL's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in SCHNITZER STEEL INDU.

SCHNITZER STEEL Related Equities

Risk & Return

Correlation

SCHNITZER STEEL Market Strength Events

SCHNITZER STEEL Risk Indicators

Pair Trading with SCHNITZER STEEL

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 SCHNITZER STEEL 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 SCHNITZER STEEL will appreciate offsetting losses from the drop in the long position's value.

Other Consideration for investing in SCHNITZER Stock