Richelieu Hardware Stock Forward View - Polynomial Regression

RCH Stock  CAD 41.05  -0.63  -1.51%   
Richelieu Hardware's Polynomial Regression reference page covers the model's projected value and error measures derived from recent price data. This information is intended as reference material for analytical purposes.
The Polynomial Regression forecasted value of Richelieu Hardware on the next trading day is expected to be 40.28 with a mean absolute deviation of 0.60 and the sum of the absolute errors of 36.40.A single variable polynomial regression model attempts to put a curve through the Richelieu Hardware 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 The forecast reference data presented here for Richelieu Hardware reflects Polynomial Regression model output and is intended as reference material for analytical use.
Richelieu Hardware polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Richelieu Hardware as well as the accuracy indicators are determined from the period prices.

Polynomial Regression Price Forecast For the 23rd of March

Given 90 days horizon, the Polynomial Regression forecasted value of Richelieu Hardware on the next trading day is expected to be 40.28 with a mean absolute deviation of 0.60 , mean absolute percentage error of 0.57 , and the sum of the absolute errors of 36.40 .
Please note that although there have been many attempts to predict Richelieu Stock prices using its time series forecasting, we generally do not suggest using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that Richelieu Hardware's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Stock Forecast Pattern

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Forecasted Value

This next-day forecast for Richelieu Hardware uses model performance to estimate practical downside and upside boundaries rather than a single point target alone. At the moment, the model places downside around 39.13 and upside around 41.43 for the forecasting period.
Market Value
41.05
40.28
Expected Value
41.43
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 Richelieu Hardware stock data series using in forecasting. Note that when a statistical model is used to represent Richelieu Hardware 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 Criteria117.5449
BiasArithmetic mean of the errors None
MADMean absolute deviation0.5967
MAPEMean absolute percentage error0.0142
SAESum of the absolute errors36.3981
A single variable polynomial regression model attempts to put a curve through the Richelieu Hardware 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

Other Forecasting Options for Richelieu Hardware

Investors evaluating Richelieu at any level of experience must contend with the challenge of understanding Richelieu Hardware's price movement. The presence of noise in Richelieu Stock price charts can significantly complicate investment decisions.

Richelieu Hardware Related Equities

The following equities are related to Richelieu Hardware within the Consumer Discretionary space and can be used for peer comparison, relative valuation, or portfolio diversification. Comparing Richelieu Hardware against peers on metrics such as P/E, margins, and return on equity helps contextualize its positioning and identify relative strengths or weaknesses.
 Risk & Return  Correlation

Richelieu Hardware Market Strength Events

For investors tracking Richelieu Hardware, market strength indicators offer a quantitative way to evaluate how the stock behaves under varying market conditions. These metrics are widely used to refine market timing and identify the most favorable moments to trade Richelieu Hardware.

Richelieu Hardware Risk Indicators

Analyzing Richelieu Hardware's basic risk indicators provides investors with a structured view of the risk-return trade-off associated with richelieu stock. Forecasting Richelieu Hardware's future price accurately requires understanding and quantifying the risks present in the investment.
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.

Story Coverage note for Richelieu Hardware

Story coverage around Richelieu Hardware often expands when market conditions, narrative momentum, or risk-adjusted performance make the security more visible to investors. The practical risk is that faster visibility can increase both interest and skepticism at the same time.

Richelieu Hardware Short Properties

Short-interest signals around Richelieu Hardware can help investors judge whether skeptical positioning is starting to pressure price predictability and market tone. This is most valuable when investors want to know whether bearish pressure is starting to shape the market's reaction function.
Common Stock Shares Outstanding55.4 M
Cash And Short Term Investments45.5 M

More Resources for Richelieu Stock Analysis

Other Information on Investing in Richelieu Stock

These ratios describe connections between financial data points for Richelieu Hardware. These metrics connect profitability and cash flow with broader valuation context. The structure keeps comparisons consistent across reporting periods. The data reflects the most recent reporting period available and is provided for reference.