Thitikorn Public Stock Forecast - Simple Regression

TK Stock  THB 4.64  0.04  0.85%   
The Simple Regression forecasted value of Thitikorn Public on the next trading day is expected to be 4.55 with a mean absolute deviation of 0.06 and the sum of the absolute errors of 3.84. Thitikorn 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 Thitikorn Public 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.

Thitikorn Public Simple Regression Price Forecast For the 15th of December 2024

Given 90 days horizon, the Simple Regression forecasted value of Thitikorn Public on the next trading day is expected to be 4.55 with a mean absolute deviation of 0.06, mean absolute percentage error of 0.01, and the sum of the absolute errors of 3.84.
Please note that although there have been many attempts to predict Thitikorn 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 Thitikorn Public's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Thitikorn Public Stock Forecast Pattern

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Thitikorn Public Forecasted Value

In the context of forecasting Thitikorn Public'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. Thitikorn Public's downside and upside margins for the forecasting period are 3.57 and 5.53, respectively. We have considered Thitikorn Public'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
4.64
4.55
Expected Value
5.53
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 Thitikorn Public stock data series using in forecasting. Note that when a statistical model is used to represent Thitikorn Public 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 Criteria114.7378
BiasArithmetic mean of the errors None
MADMean absolute deviation0.062
MAPEMean absolute percentage error0.0128
SAESum of the absolute errors3.8443
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 Thitikorn 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 Thitikorn Public

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Thitikorn 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
3.664.645.62
Details
Intrinsic
Valuation
LowRealHigh
3.794.775.75
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Thitikorn Public. Your research has to be compared to or analyzed against Thitikorn Public's peers to derive any actionable benefits. When done correctly, Thitikorn Public's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in Thitikorn Public.

Other Forecasting Options for Thitikorn Public

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

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

Thitikorn 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 Thitikorn Public'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 Thitikorn Public's current price.

Thitikorn Public Market Strength Events

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

Thitikorn Public Risk Indicators

The analysis of Thitikorn Public'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 Thitikorn Public's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting thitikorn 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 Thitikorn Stock

Thitikorn Public financial ratios help investors to determine whether Thitikorn 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 Thitikorn with respect to the benefits of owning Thitikorn Public security.