Central Plaza Stock Forecast - Polynomial Regression

CENTEL Stock  THB 37.50  0.50  1.32%   
The Polynomial Regression forecasted value of Central Plaza Hotel on the next trading day is expected to be 39.05 with a mean absolute deviation of 0.68 and the sum of the absolute errors of 41.27. Central Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Central Plaza stock prices and determine the direction of Central Plaza Hotel's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Central Plaza's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
Central Plaza polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Central Plaza Hotel as well as the accuracy indicators are determined from the period prices.

Central Plaza Polynomial Regression Price Forecast For the 27th of November

Given 90 days horizon, the Polynomial Regression forecasted value of Central Plaza Hotel on the next trading day is expected to be 39.05 with a mean absolute deviation of 0.68, mean absolute percentage error of 0.77, and the sum of the absolute errors of 41.27.
Please note that although there have been many attempts to predict Central 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 Central Plaza's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Central Plaza Stock Forecast Pattern

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Central Plaza Forecasted Value

In the context of forecasting Central Plaza'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. Central Plaza's downside and upside margins for the forecasting period are 36.75 and 41.35, respectively. We have considered Central Plaza'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
37.50
39.05
Expected Value
41.35
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 Central Plaza stock data series using in forecasting. Note that when a statistical model is used to represent Central Plaza 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 Criteria117.8524
BiasArithmetic mean of the errors None
MADMean absolute deviation0.6766
MAPEMean absolute percentage error0.0184
SAESum of the absolute errors41.2744
A single variable polynomial regression model attempts to put a curve through the Central Plaza 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 Central Plaza

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Central Plaza Hotel. 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.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Central Plaza's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Hype
Prediction
LowEstimatedHigh
35.2037.5039.80
Details
Intrinsic
Valuation
LowRealHigh
28.9431.2441.25
Details

Other Forecasting Options for Central Plaza

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

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

Central Plaza Hotel 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 Central Plaza'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 Central Plaza's current price.

Central Plaza Market Strength Events

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

Central Plaza Risk Indicators

The analysis of Central Plaza'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 Central Plaza's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting central 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 Central Stock

Central Plaza financial ratios help investors to determine whether Central 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 Central with respect to the benefits of owning Central Plaza security.