Global Power Stock Forecast - Polynomial Regression
| GPSC-R Stock | THB 42.50 0.75 1.80% |
The Polynomial Regression forecasted value of Global Power Synergy on the next trading day is expected to be 49.79 with a mean absolute deviation of 3.92 and the sum of the absolute errors of 238.91. Global Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Global Power stock prices and determine the direction of Global Power Synergy's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Global Power's historical fundamentals, such as revenue growth or operating cash flow patterns.
Global |
Global Power Polynomial Regression Price Forecast For the 27th of December
Given 90 days horizon, the Polynomial Regression forecasted value of Global Power Synergy on the next trading day is expected to be 49.79 with a mean absolute deviation of 3.92, mean absolute percentage error of 88.07, and the sum of the absolute errors of 238.91.Please note that although there have been many attempts to predict Global 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 Global Power's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Global Power Stock Forecast Pattern
| Backtest Global Power | Global Power Price Prediction | Buy or Sell Advice |
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 Global Power stock data series using in forecasting. Note that when a statistical model is used to represent Global Power 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.| AIC | Akaike Information Criteria | 122.5886 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 3.9166 |
| MAPE | Mean absolute percentage error | 9.223372036854776E14 |
| SAE | Sum of the absolute errors | 238.914 |
Predictive Modules for Global Power
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Global Power Synergy. 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.Global Power 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 Global Power stock to make a market-neutral strategy. Peer analysis of Global Power could also be used in its relative valuation, which is a method of valuing Global Power by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Global Power Market Strength Events
Market strength indicators help investors to evaluate how Global Power stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Global Power shares will generate the highest return on investment. By undertsting and applying Global Power stock market strength indicators, traders can identify Global Power Synergy entry and exit signals to maximize returns.
Global Power Risk Indicators
The analysis of Global Power'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 Global Power's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting global 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.
| Mean Deviation | 0.6932 | |||
| Standard Deviation | 3.67 | |||
| Variance | 13.45 |
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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Global Power financial ratios help investors to determine whether Global 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 Global with respect to the benefits of owning Global Power security.