Enerjisa Enerji Stock Forecast - Polynomial Regression
| ENJSA Stock | TRY 59.70 0.35 0.59% |
The Polynomial Regression forecasted value of Enerjisa Enerji AS on the next trading day is expected to be 59.43 with a mean absolute deviation of 0.78 and the sum of the absolute errors of 47.65. Enerjisa Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Enerjisa Enerji's historical fundamentals, such as revenue growth or operating cash flow patterns.
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Enerjisa Enerji Polynomial Regression Price Forecast For the 24th of December
Given 90 days horizon, the Polynomial Regression forecasted value of Enerjisa Enerji AS on the next trading day is expected to be 59.43 with a mean absolute deviation of 0.78, mean absolute percentage error of 1.03, and the sum of the absolute errors of 47.65.Please note that although there have been many attempts to predict Enerjisa 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 Enerjisa Enerji's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Enerjisa Enerji Stock Forecast Pattern
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Enerjisa Enerji Forecasted Value
In the context of forecasting Enerjisa Enerji'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. Enerjisa Enerji's downside and upside margins for the forecasting period are 57.46 and 61.40, respectively. We have considered Enerjisa Enerji'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 Polynomial Regression forecasting method's relative quality and the estimations of the prediction error of Enerjisa Enerji stock data series using in forecasting. Note that when a statistical model is used to represent Enerjisa Enerji 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 | 118.1376 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.7812 |
| MAPE | Mean absolute percentage error | 0.0135 |
| SAE | Sum of the absolute errors | 47.6519 |
Predictive Modules for Enerjisa Enerji
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Enerjisa Enerji AS. 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 Enerjisa Enerji
For every potential investor in Enerjisa, whether a beginner or expert, Enerjisa Enerji's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Enerjisa Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Enerjisa. Basic forecasting techniques help filter out the noise by identifying Enerjisa Enerji's price trends.Enerjisa Enerji 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 Enerjisa Enerji stock to make a market-neutral strategy. Peer analysis of Enerjisa Enerji could also be used in its relative valuation, which is a method of valuing Enerjisa Enerji by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Enerjisa Enerji AS 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 Enerjisa Enerji'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 Enerjisa Enerji's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Enerjisa Enerji Market Strength Events
Market strength indicators help investors to evaluate how Enerjisa Enerji stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Enerjisa Enerji shares will generate the highest return on investment. By undertsting and applying Enerjisa Enerji stock market strength indicators, traders can identify Enerjisa Enerji AS entry and exit signals to maximize returns.
Enerjisa Enerji Risk Indicators
The analysis of Enerjisa Enerji'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 Enerjisa Enerji's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting enerjisa 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 | 1.54 | |||
| Semi Deviation | 1.98 | |||
| Standard Deviation | 1.96 | |||
| Variance | 3.83 | |||
| Downside Variance | 4.24 | |||
| Semi Variance | 3.92 | |||
| Expected Short fall | (1.55) |
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 Enerjisa Stock
Enerjisa Enerji financial ratios help investors to determine whether Enerjisa 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 Enerjisa with respect to the benefits of owning Enerjisa Enerji security.