China Resources Pink Sheet Forward View - Simple Regression
| CGASY Stock | USD 26.91 0.00 0.00% |
This page provides reference data for China Resources using Simple Regression forecasting. The projected value and error metrics are calculated from available daily price observations.
The Simple Regression forecasted value of China Resources Gas on the next trading day is expected to be 26.91 with a mean absolute deviation of 0 and the sum of the absolute errors of 0.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 China Resources Gas historical returns. These new methods are regression involving correlated responses such as growth curves and different regression methods accommodating various types of missing data. This Simple Regression reference page for China Resources presents model-generated projections from historical price data for informational purposes. Simple Regression Price Forecast For the 22nd of March
Given 90 days horizon, the Simple Regression forecasted value of China Resources Gas on the next trading day is expected to be 26.91 with a mean absolute deviation of 0 , mean absolute percentage error of 0 , and the sum of the absolute errors of 0 .Please note that although there have been many attempts to predict China Pink Sheet 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 China Resources' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Pink Sheet Forecast Pattern
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Forecasted Value
For the next trading day, Macroaxis evaluates China Resources' 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 China Resources pink sheet data series using in forecasting. Note that when a statistical model is used to represent China Resources pink sheet, 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 | 56.344 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.0 |
| MAPE | Mean absolute percentage error | 0.0 |
| SAE | Sum of the absolute errors | 0.0 |
Other Forecasting Options for China Resources
For investors considering China, China Resources' price movement is the most direct driver of investment returns. Noise in China Pink Sheet price charts can make identifying meaningful trends difficult without dedicated analytical tools.China Resources Related Equities
The following equities are related to China Resources within the Utilities—Regulated Gas space and can be used for peer comparison, relative valuation, or portfolio diversification. Comparing China Resources 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 |
China Resources Market Strength Events
Market strength indicators for China Resources provide investors with a view of how the pink sheet performs across different market environments. By analyzing these indicators, traders can determine the best moments to enter or exit positions in China Resources Gas.
Story Coverage note for China Resources
A coverage review of China Resources Gas shows when the security is attracting above-average attention from contributors and market observers. The practical risk is that faster visibility can increase both interest and skepticism at the same time.
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Key financial relationships within China Resources are expressed through its ratios. Each ratio adds context around profit, cash flow, and total value. This approach standardizes how financial data is compared. The metrics reflect the most recent disclosures available and are intended for reference only.