Natural Gas Stock Forecast - Simple Regression
| EGAS Stock | 40.96 0.01 0.02% |
Natural |
Natural Gas Simple Regression Price Forecast For the 15th of December 2024
Given 90 days horizon, the Simple Regression forecasted value of Natural Gas Mining on the next trading day is expected to be 46.41 with a mean absolute deviation of 4.79, mean absolute percentage error of 38.06, and the sum of the absolute errors of 292.38.Please note that although there have been many attempts to predict Natural 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 Natural Gas' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Natural Gas Stock Forecast Pattern
Natural Gas Forecasted Value
In the context of forecasting Natural Gas' 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. Natural Gas' downside and upside margins for the forecasting period are 41.00 and 51.82, respectively. We have considered Natural Gas' 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 Natural Gas stock data series using in forecasting. Note that when a statistical model is used to represent Natural Gas 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 | 121.7497 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 4.793 |
| MAPE | Mean absolute percentage error | 0.1217 |
| SAE | Sum of the absolute errors | 292.3751 |
Predictive Modules for Natural Gas
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Natural Gas Mining. 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 Natural Gas
For every potential investor in Natural, whether a beginner or expert, Natural Gas' price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Natural Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Natural. Basic forecasting techniques help filter out the noise by identifying Natural Gas' price trends.Natural Gas 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 Natural Gas stock to make a market-neutral strategy. Peer analysis of Natural Gas could also be used in its relative valuation, which is a method of valuing Natural Gas by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Natural Gas Mining 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 Natural Gas' 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 Natural Gas' current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Natural Gas Market Strength Events
Market strength indicators help investors to evaluate how Natural Gas stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Natural Gas shares will generate the highest return on investment. By undertsting and applying Natural Gas stock market strength indicators, traders can identify Natural Gas Mining entry and exit signals to maximize returns.
Natural Gas Risk Indicators
The analysis of Natural Gas' 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 Natural Gas' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting natural 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 | 3.09 | |||
| Semi Deviation | 2.94 | |||
| Standard Deviation | 4.98 | |||
| Variance | 24.8 | |||
| Downside Variance | 12.13 | |||
| Semi Variance | 8.64 | |||
| Expected Short fall | (4.03) |
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.