China Petroleum Pink Sheet Forecast - Simple Regression

SNPMF Stock  USD 0.58  0.07  13.73%   
The Simple Regression forecasted value of China Petroleum Chemical on the next trading day is expected to be 0.51 with a mean absolute deviation of 0.02 and the sum of the absolute errors of 1.44. China Pink Sheet Forecast is based on your current time horizon. We recommend always using this module together with an analysis of China Petroleum's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
Simple Regression model is a single variable regression model that attempts to put a straight line through China Petroleum price points. This line is defined by its gradient or slope, and the point at which it intercepts the x-axis. Mathematically, assuming the independent variable is X and the dependent variable is Y, then this line can be represented as: Y = intercept + slope * X.

China Petroleum Simple Regression Price Forecast For the 16th of December 2024

Given 90 days horizon, the Simple Regression forecasted value of China Petroleum Chemical on the next trading day is expected to be 0.51 with a mean absolute deviation of 0.02, mean absolute percentage error of 0.001, and the sum of the absolute errors of 1.44.
Please note that although there have been many attempts to predict China Pink Sheet 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 China Petroleum's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

China Petroleum Pink Sheet Forecast Pattern

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China Petroleum Forecasted Value

In the context of forecasting China Petroleum's Pink Sheet 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. China Petroleum's downside and upside margins for the forecasting period are 0.01 and 4.35, respectively. We have considered China Petroleum'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
0.58
0.51
Expected Value
4.35
Upside

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 Petroleum pink sheet data series using in forecasting. Note that when a statistical model is used to represent China Petroleum 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.
AICAkaike Information Criteria111.1777
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0236
MAPEMean absolute percentage error0.0407
SAESum of the absolute errors1.4368
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 Petroleum Chemical historical returns. These new methods are regression involving correlated responses such as growth curves and different regression methods accommodating various types of missing data.

Predictive Modules for China Petroleum

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as China Petroleum Chemical. Regardless of method or technology, however, to accurately forecast the pink sheet market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the pink sheet 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
LowEstimatedHigh
0.030.584.42
Details
Intrinsic
Valuation
LowRealHigh
0.020.494.33
Details

Other Forecasting Options for China Petroleum

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

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

China Petroleum Chemical Technical and Predictive Analytics

The pink sheet market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of China Petroleum'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 China Petroleum's current price.

China Petroleum Market Strength Events

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

China Petroleum Risk Indicators

The analysis of China Petroleum'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 China Petroleum's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting china pink sheet 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.

Currently Active Assets on Macroaxis

Other Information on Investing in China Pink Sheet

China Petroleum financial ratios help investors to determine whether China Pink Sheet is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in China with respect to the benefits of owning China Petroleum security.