China Steel Stock Forecast - Polynomial Regression

1723 Stock  TWD 95.70  0.50  0.52%   
The Polynomial Regression forecasted value of China Steel Chemical on the next trading day is expected to be 97.38 with a mean absolute deviation of 0.91 and the sum of the absolute errors of 56.36. China Stock Forecast is based on your current time horizon.
  
China Steel polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for China Steel Chemical as well as the accuracy indicators are determined from the period prices.

China Steel Polynomial Regression Price Forecast For the 13th of December 2024

Given 90 days horizon, the Polynomial Regression forecasted value of China Steel Chemical on the next trading day is expected to be 97.38 with a mean absolute deviation of 0.91, mean absolute percentage error of 1.32, and the sum of the absolute errors of 56.36.
Please note that although there have been many attempts to predict China 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 China Steel's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

China Steel Stock Forecast Pattern

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China Steel Forecasted Value

In the context of forecasting China Steel'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. China Steel's downside and upside margins for the forecasting period are 96.50 and 98.27, respectively. We have considered China Steel'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
95.70
97.38
Expected Value
98.27
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 China Steel stock data series using in forecasting. Note that when a statistical model is used to represent China Steel 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 Criteria120.2257
BiasArithmetic mean of the errors None
MADMean absolute deviation0.9091
MAPEMean absolute percentage error0.0092
SAESum of the absolute errors56.3616
A single variable polynomial regression model attempts to put a curve through the China Steel 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 China Steel

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 Steel Chemical. 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.
Hype
Prediction
LowEstimatedHigh
94.8095.7096.60
Details
Intrinsic
Valuation
LowRealHigh
86.1397.3598.25
Details
Bollinger
Band Projection (param)
LowMiddleHigh
95.0296.9398.83
Details

Other Forecasting Options for China Steel

For every potential investor in China, whether a beginner or expert, China Steel's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. China Stock 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 Steel's price trends.

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

China Steel Chemical 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 China Steel'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 Steel's current price.

China Steel Market Strength Events

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

China Steel Risk Indicators

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

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