Krung Thai Stock Forecast - Simple Regression

KTB Stock  THB 20.50  0.10  0.49%   
The Simple Regression forecasted value of Krung Thai Bank on the next trading day is expected to be 21.21 with a mean absolute deviation of 0.51 and the sum of the absolute errors of 31.01. Krung 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 Krung Thai 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.

Krung Thai Simple Regression Price Forecast For the 23rd of November

Given 90 days horizon, the Simple Regression forecasted value of Krung Thai Bank on the next trading day is expected to be 21.21 with a mean absolute deviation of 0.51, mean absolute percentage error of 0.39, and the sum of the absolute errors of 31.01.
Please note that although there have been many attempts to predict Krung 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 Krung Thai's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Krung Thai Stock Forecast Pattern

Backtest Krung ThaiKrung Thai Price PredictionBuy or Sell Advice 

Krung Thai Forecasted Value

In the context of forecasting Krung Thai'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. Krung Thai's downside and upside margins for the forecasting period are 20.04 and 22.38, respectively. We have considered Krung Thai'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
20.50
21.21
Expected Value
22.38
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 Krung Thai stock data series using in forecasting. Note that when a statistical model is used to represent Krung Thai 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 Criteria117.1781
BiasArithmetic mean of the errors None
MADMean absolute deviation0.5083
MAPEMean absolute percentage error0.0252
SAESum of the absolute errors31.0078
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 Krung Thai Bank 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 Krung Thai

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Krung Thai Bank. 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
19.2220.4021.58
Details
Intrinsic
Valuation
LowRealHigh
19.0220.2021.38
Details
Bollinger
Band Projection (param)
LowMiddleHigh
20.1720.7321.29
Details

Other Forecasting Options for Krung Thai

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

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

Krung Thai Bank 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 Krung Thai'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 Krung Thai's current price.

Krung Thai Market Strength Events

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

Krung Thai Risk Indicators

The analysis of Krung Thai'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 Krung Thai's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting krung 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.

Building efficient market-beating portfolios requires time, education, and a lot of computing power!

The Portfolio Architect is an AI-driven system that provides multiple benefits to our users by leveraging cutting-edge machine learning algorithms, statistical analysis, and predictive modeling to automate the process of asset selection and portfolio construction, saving time and reducing human error for individual and institutional investors.

Try AI Portfolio Architect

Other Information on Investing in Krung Stock

Krung Thai financial ratios help investors to determine whether Krung 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 Krung with respect to the benefits of owning Krung Thai security.