Ormat Technologies Stock Forecast - Polynomial Regression
| HNM Stock | EUR 75.86 1.42 1.84% |
The Polynomial Regression forecasted value of Ormat Technologies on the next trading day is expected to be 76.42 with a mean absolute deviation of 0.95 and the sum of the absolute errors of 58.90. Ormat Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Ormat Technologies' historical fundamentals, such as revenue growth or operating cash flow patterns.
Ormat |
Ormat Technologies Polynomial Regression Price Forecast For the 5th of December
Given 90 days horizon, the Polynomial Regression forecasted value of Ormat Technologies on the next trading day is expected to be 76.42 with a mean absolute deviation of 0.95, mean absolute percentage error of 1.29, and the sum of the absolute errors of 58.90.Please note that although there have been many attempts to predict Ormat 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 Ormat Technologies' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Ormat Technologies Stock Forecast Pattern
| Backtest Ormat Technologies | Ormat Technologies Price Prediction | Buy or Sell Advice |
Ormat Technologies Forecasted Value
In the context of forecasting Ormat Technologies' 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. Ormat Technologies' downside and upside margins for the forecasting period are 74.83 and 78.02, respectively. We have considered Ormat Technologies' 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 Ormat Technologies stock data series using in forecasting. Note that when a statistical model is used to represent Ormat Technologies 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 | 120.2056 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.9499 |
| MAPE | Mean absolute percentage error | 0.0132 |
| SAE | Sum of the absolute errors | 58.8953 |
Predictive Modules for Ormat Technologies
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Ormat Technologies. 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 Ormat Technologies
For every potential investor in Ormat, whether a beginner or expert, Ormat Technologies' price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Ormat Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Ormat. Basic forecasting techniques help filter out the noise by identifying Ormat Technologies' price trends.Ormat Technologies 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 Ormat Technologies stock to make a market-neutral strategy. Peer analysis of Ormat Technologies could also be used in its relative valuation, which is a method of valuing Ormat Technologies by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Ormat Technologies 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 Ormat Technologies' 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 Ormat Technologies' current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Ormat Technologies Market Strength Events
Market strength indicators help investors to evaluate how Ormat Technologies stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Ormat Technologies shares will generate the highest return on investment. By undertsting and applying Ormat Technologies stock market strength indicators, traders can identify Ormat Technologies entry and exit signals to maximize returns.
Ormat Technologies Risk Indicators
The analysis of Ormat Technologies' 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 Ormat Technologies' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting ormat 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 | 1.19 | |||
| Semi Deviation | 1.44 | |||
| Standard Deviation | 1.59 | |||
| Variance | 2.52 | |||
| Downside Variance | 2.64 | |||
| Semi Variance | 2.06 | |||
| Expected Short fall | (1.28) |
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
Additional Information and Resources on Investing in Ormat Stock
When determining whether Ormat Technologies offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Ormat Technologies' financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Ormat Technologies Stock. Outlined below are crucial reports that will aid in making a well-informed decision on Ormat Technologies Stock:Check out Historical Fundamental Analysis of Ormat Technologies to cross-verify your projections. For more detail on how to invest in Ormat Stock please use our How to Invest in Ormat Technologies guide.You can also try the Cryptocurrency Center module to build and monitor diversified portfolio of extremely risky digital assets and cryptocurrency.