Loblaw Companies Stock Forward View - Simple Regression
| L Stock | CAD 61.86 -0.01 -0.02% |
Loblaw Companies Limited's Simple Regression forecast reference data is generated from the equity's historical trading prices. This page presents the model output and associated accuracy measures as reference information.
The Simple Regression forecasted value of Loblaw Companies Limited on the next trading day is expected to be 64.75 with a mean absolute deviation of 1.76 and the sum of the absolute errors of 107.66.In general, regression methods applied to historical equity returns or prices series is an area of active research. In recent decades, new methods have been developed for robust regression of price series such as Loblaw Companies Limited historical returns. These new methods are regression involving correlated responses such as growth curves and different regression methods accommodating various types of missing data. The Simple Regression projections for Loblaw Companies Limited are reference data based on historical daily prices and are provided as informational context. Simple Regression Price Forecast For the 23rd of March
Given 90 days horizon, the Simple Regression forecasted value of Loblaw Companies Limited on the next trading day is expected to be 64.75 with a mean absolute deviation of 1.76 , mean absolute percentage error of 4.90 , and the sum of the absolute errors of 107.66 .Please note that although there have been many attempts to predict Loblaw 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 Loblaw Companies' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Stock Forecast Pattern
| Backtest Loblaw Companies | Loblaw Companies Price Prediction | Research Analysis |
Forecasted Value
For the next trading day, Macroaxis evaluates Loblaw Companies' predictive range by looking for statistically meaningful downside and upside boundaries. Investors should still remember that no empirical framework consistently proves that one family of forecasting models will outperform all other approaches in live markets.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Simple Regression forecasting method's relative quality and the estimations of the prediction error of Loblaw Companies stock data series using in forecasting. Note that when a statistical model is used to represent Loblaw Companies 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 | 119.6996 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 1.765 |
| MAPE | Mean absolute percentage error | 0.0273 |
| SAE | Sum of the absolute errors | 107.6635 |
Other Forecasting Options for Loblaw Companies
The price trajectory of Loblaw is the primary concern for any investor assessing it as an opportunity. Loblaw Stock price charts are filled with noise that can easily mislead uninformed investment decisions.Loblaw Companies Related Equities
The following equities are related to Loblaw Companies within the Consumer Staples space and can be used for peer comparison, relative valuation, or portfolio diversification. Comparing Loblaw Companies 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 |
Loblaw Companies Market Strength Events
Understanding the market strength of Loblaw Companies stock enables investors to assess the security's momentum and responsiveness to broader market forces. These indicators are essential tools for timing trades in Loblaw Companies Limited with greater precision.
Loblaw Companies Risk Indicators
Reviewing Loblaw Companies' basic risk indicators is essential for investors who want to forecast its price and manage their investment risk effectively. This analysis helps identify the amount of risk involved in holding Loblaw Companies' and informs decisions about hedging and position.
| Mean Deviation | 1.03 | |||
| Semi Deviation | 1.39 | |||
| Standard Deviation | 1.43 | |||
| Variance | 2.05 | |||
| Downside Variance | 2.07 | |||
| Semi Variance | 1.92 | |||
| Expected Short fall | -1.11 |
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 Loblaw Companies
The amount of media and story coverage tied to Loblaw Companies Limited can signal where market attention is concentrating at the moment. The practical risk is that faster visibility can increase both interest and skepticism at the same time.
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Loblaw Companies Short Properties
Reviewing short-oriented indicators for Loblaw Companies Limited is useful because long and short participants often create very different signals for timing and volatility. This is most valuable when investors want to know whether bearish pressure is starting to shape the market's reaction function.
| Common Stock Shares Outstanding | 1.2 B | |
| Cash And Short Term Investments | 1 B |
More Resources for Loblaw Stock Analysis
Other Information on Investing in Loblaw Stock
These ratios describe connections between financial data points for Loblaw Companies. These metrics connect profitability and cash flow with broader valuation context. The structure keeps comparisons consistent across reporting periods.