Chularat Hospital Stock Forecast - Simple Regression

CHG-R Stock  THB 2.64  0.02  0.76%   
The Simple Regression forecasted value of Chularat Hospital Public on the next trading day is expected to be 2.85 with a mean absolute deviation of 0.23 and the sum of the absolute errors of 14.12. Chularat Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Chularat Hospital stock prices and determine the direction of Chularat Hospital Public's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Chularat Hospital'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 Chularat Hospital 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.

Chularat Hospital Simple Regression Price Forecast For the 29th of November

Given 90 days horizon, the Simple Regression forecasted value of Chularat Hospital Public on the next trading day is expected to be 2.85 with a mean absolute deviation of 0.23, mean absolute percentage error of 0.27, and the sum of the absolute errors of 14.12.
Please note that although there have been many attempts to predict Chularat 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 Chularat Hospital's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Chularat Hospital Stock Forecast Pattern

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Chularat Hospital Forecasted Value

In the context of forecasting Chularat Hospital'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. Chularat Hospital's downside and upside margins for the forecasting period are 0.03 and 182.46, respectively. We have considered Chularat Hospital'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
2.64
2.85
Expected Value
182.46
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 Chularat Hospital stock data series using in forecasting. Note that when a statistical model is used to represent Chularat Hospital 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 Criteria118.6351
BiasArithmetic mean of the errors None
MADMean absolute deviation0.2278
MAPEMean absolute percentage error9.223372036854776E14
SAESum of the absolute errors14.1248
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 Chularat Hospital Public 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 Chularat Hospital

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Chularat Hospital Public. 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
0.132.64266.64
Details
Intrinsic
Valuation
LowRealHigh
0.102.05266.05
Details

Other Forecasting Options for Chularat Hospital

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

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

Chularat Hospital Public 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 Chularat Hospital'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 Chularat Hospital's current price.

Chularat Hospital Market Strength Events

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

Chularat Hospital Risk Indicators

The analysis of Chularat Hospital'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 Chularat Hospital's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting chularat 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.

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Other Information on Investing in Chularat Stock

Chularat Hospital financial ratios help investors to determine whether Chularat Stock 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 Chularat with respect to the benefits of owning Chularat Hospital security.