State Grid Stock Forecast - Simple Regression
| 600131 Stock | 22.22 1.49 7.19% |
The Simple Regression forecasted value of State Grid InformationCommunication on the next trading day is expected to be 23.08 with a mean absolute deviation of 0.91 and the sum of the absolute errors of 55.40. State Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast State Grid stock prices and determine the direction of State Grid InformationCommunication's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of State Grid's historical fundamentals, such as revenue growth or operating cash flow patterns.
State |
State Grid Simple Regression Price Forecast For the 2nd of December
Given 90 days horizon, the Simple Regression forecasted value of State Grid InformationCommunication on the next trading day is expected to be 23.08 with a mean absolute deviation of 0.91, mean absolute percentage error of 1.53, and the sum of the absolute errors of 55.40.Please note that although there have been many attempts to predict State 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 State Grid's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
State Grid Stock Forecast Pattern
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State Grid Forecasted Value
In the context of forecasting State Grid'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. State Grid's downside and upside margins for the forecasting period are 19.73 and 26.42, respectively. We have considered State Grid'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.
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 State Grid stock data series using in forecasting. Note that when a statistical model is used to represent State Grid 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 | 118.5346 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.9081 |
| MAPE | Mean absolute percentage error | 0.0442 |
| SAE | Sum of the absolute errors | 55.397 |
Predictive Modules for State Grid
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as State Grid Informati. 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.Other Forecasting Options for State Grid
For every potential investor in State, whether a beginner or expert, State Grid's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. State Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in State. Basic forecasting techniques help filter out the noise by identifying State Grid's price trends.State Grid 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 State Grid stock to make a market-neutral strategy. Peer analysis of State Grid could also be used in its relative valuation, which is a method of valuing State Grid by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
State Grid Informati 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 State Grid'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 State Grid's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
State Grid Market Strength Events
Market strength indicators help investors to evaluate how State Grid stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading State Grid shares will generate the highest return on investment. By undertsting and applying State Grid stock market strength indicators, traders can identify State Grid InformationCommunication entry and exit signals to maximize returns.
State Grid Risk Indicators
The analysis of State Grid'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 State Grid's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting state 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 | 2.49 | |||
| Semi Deviation | 2.51 | |||
| Standard Deviation | 3.26 | |||
| Variance | 10.64 | |||
| Downside Variance | 9.05 | |||
| Semi Variance | 6.29 | |||
| Expected Short fall | (2.66) |
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.
Currently Active Assets on Macroaxis
Other Information on Investing in State Stock
State Grid financial ratios help investors to determine whether State 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 State with respect to the benefits of owning State Grid security.