China Times Stock Forecast - Simple Regression

8923 Stock  TWD 19.20  0.05  0.26%   
The Simple Regression forecasted value of China Times Publishing on the next trading day is expected to be 19.70 with a mean absolute deviation of 0.43 and the sum of the absolute errors of 26.47. China Stock Forecast is based on your current time horizon.
  
Simple Regression model is a single variable regression model that attempts to put a straight line through China Times 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 Times Simple Regression Price Forecast For the 1st of February

Given 90 days horizon, the Simple Regression forecasted value of China Times Publishing on the next trading day is expected to be 19.70 with a mean absolute deviation of 0.43, mean absolute percentage error of 0.30, and the sum of the absolute errors of 26.47.
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 Times' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

China Times Stock Forecast Pattern

Backtest China TimesChina Times Price PredictionBuy or Sell Advice 

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 Times stock data series using in forecasting. Note that when a statistical model is used to represent China Times 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 Criteria116.9057
BiasArithmetic mean of the errors None
MADMean absolute deviation0.4339
MAPEMean absolute percentage error0.0231
SAESum of the absolute errors26.4693
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 Times Publishing 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 Times

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 Times Publishing. 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
16.0519.2022.35
Details
Intrinsic
Valuation
LowRealHigh
12.7415.8921.12
Details
Bollinger
Band Projection (param)
LowMiddleHigh
18.8319.4820.13
Details

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

China Times Market Strength Events

Market strength indicators help investors to evaluate how China Times 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 Times shares will generate the highest return on investment. By undertsting and applying China Times stock market strength indicators, traders can identify China Times Publishing entry and exit signals to maximize returns.

China Times Risk Indicators

The analysis of China Times' 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 Times' 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.

Pair Trading with China Times

One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if China Times position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in China Times will appreciate offsetting losses from the drop in the long position's value.

Moving together with China Stock

  0.732454 MediaTekPairCorr

Moving against China Stock

  0.675274 Aspeed TechnologyPairCorr
The ability to find closely correlated positions to China Times could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace China Times when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back China Times - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling China Times Publishing to buy it.
The correlation of China Times is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as China Times moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if China Times Publishing moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for China Times can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.
Pair CorrelationCorrelation Matching

Additional Tools for China Stock Analysis

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