Quanex Building Stock Forecast - Polynomial Regression

NX Stock  USD 29.55  0.66  2.18%   
The Polynomial Regression forecasted value of Quanex Building Products on the next trading day is expected to be 30.04 with a mean absolute deviation of 0.83 and the sum of the absolute errors of 51.16. Quanex Stock Forecast is based on your current time horizon.
  
Inventory Turnover is likely to drop to 7.77 in 2024. Payables Turnover is likely to drop to 8.18 in 2024. Common Stock Shares Outstanding is likely to rise to about 38.9 M in 2024. Net Income Applicable To Common Shares is likely to rise to about 99.6 M in 2024.

Open Interest Against 2024-06-21 Quanex Option Contracts

Although open interest is a measure utilized in the options markets, it could be used to forecast Quanex Building's spot prices because the number of available contracts in the market changes daily, and new contracts can be created or liquidated at will. Since open interest in Quanex Building's options reflects these daily shifts, investors could use the patterns of these changes to develop long and short-term trading strategies for Quanex Building stock based on available contracts left at the end of a trading day.
Please note that to derive more accurate forecasting about market movement from the current Quanex Building's open interest, investors have to compare it to Quanex Building's spot prices. As Ford's stock price increases, high open interest indicates that money is entering the market, and the market is strongly bullish. Conversely, if the price of Quanex Building is decreasing and there is high open interest, that is a sign that the bearish trend will continue, and investors may react by taking short positions in Quanex. So, decreasing or low open interest during a bull market indicates that investors are becoming uncertain of the depth of the bullish trend, and a reversal in sentiment will likely follow.
Most investors in Quanex Building 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 Quanex Building's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Quanex Building's price structures and extracts relationships that further increase the generated results' accuracy.
Quanex Building polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Quanex Building Products as well as the accuracy indicators are determined from the period prices.

Quanex Building Polynomial Regression Price Forecast For the 13th of June 2024

Given 90 days horizon, the Polynomial Regression forecasted value of Quanex Building Products on the next trading day is expected to be 30.04 with a mean absolute deviation of 0.83, mean absolute percentage error of 1.00, and the sum of the absolute errors of 51.16.
Please note that although there have been many attempts to predict Quanex 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 Quanex Building's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Quanex Building Stock Forecast Pattern

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Quanex Building Forecasted Value

In the context of forecasting Quanex Building'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. Quanex Building's downside and upside margins for the forecasting period are 28.09 and 31.99, respectively. We have considered Quanex Building'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
29.55
30.04
Expected Value
31.99
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 Quanex Building stock data series using in forecasting. Note that when a statistical model is used to represent Quanex Building 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 Criteria119.953
BiasArithmetic mean of the errors None
MADMean absolute deviation0.8251
MAPEMean absolute percentage error0.0237
SAESum of the absolute errors51.1556
A single variable polynomial regression model attempts to put a curve through the Quanex Building 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 Quanex Building

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Quanex Building Products. 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 Quanex Building'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
27.5229.4731.42
Details
Intrinsic
Valuation
LowRealHigh
25.0226.9732.51
Details
Bollinger
Band Projection (param)
LowMiddleHigh
30.1333.1136.10
Details
1 Analysts
Consensus
LowTargetHigh
29.7332.6736.26
Details

Other Forecasting Options for Quanex Building

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

Quanex Building 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 Quanex Building stock to make a market-neutral strategy. Peer analysis of Quanex Building could also be used in its relative valuation, which is a method of valuing Quanex Building by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

Quanex Building Products 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 Quanex Building'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 Quanex Building's current price.

Quanex Building Market Strength Events

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

Quanex Building Risk Indicators

The analysis of Quanex Building'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 Quanex Building's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting quanex 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.

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.

Additional Tools for Quanex Stock Analysis

When running Quanex Building's price analysis, check to measure Quanex Building's 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 Quanex Building is operating at the current time. Most of Quanex Building's value examination focuses on studying past and present price action to predict the probability of Quanex Building's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Quanex Building's price. Additionally, you may evaluate how the addition of Quanex Building to your portfolios can decrease your overall portfolio volatility.