Ecofin Sustainable Fund Forecast - Polynomial Regression
| TEAF Fund | USD 12.66 0.08 0.64% |
The Polynomial Regression forecasted value of Ecofin Sustainable And on the next trading day is expected to be 12.51 with a mean absolute deviation of 0.09 and the sum of the absolute errors of 5.29. Ecofin Fund Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Ecofin Sustainable's historical fundamentals, such as revenue growth or operating cash flow patterns.
Ecofin |
Ecofin Sustainable Polynomial Regression Price Forecast For the 1st of December
Given 90 days horizon, the Polynomial Regression forecasted value of Ecofin Sustainable And on the next trading day is expected to be 12.51 with a mean absolute deviation of 0.09, mean absolute percentage error of 0.01, and the sum of the absolute errors of 5.29.Please note that although there have been many attempts to predict Ecofin Fund 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 Ecofin Sustainable's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Ecofin Sustainable Fund Forecast Pattern
| Backtest Ecofin Sustainable | Ecofin Sustainable Price Prediction | Buy or Sell Advice |
Ecofin Sustainable Forecasted Value
In the context of forecasting Ecofin Sustainable's Fund 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. Ecofin Sustainable's downside and upside margins for the forecasting period are 11.91 and 13.12, respectively. We have considered Ecofin Sustainable'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 Ecofin Sustainable fund data series using in forecasting. Note that when a statistical model is used to represent Ecofin Sustainable fund, 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 | 113.6327 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.0867 |
| MAPE | Mean absolute percentage error | 0.0068 |
| SAE | Sum of the absolute errors | 5.2906 |
Predictive Modules for Ecofin Sustainable
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Ecofin Sustainable And. Regardless of method or technology, however, to accurately forecast the fund market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the fund 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 Ecofin Sustainable
For every potential investor in Ecofin, whether a beginner or expert, Ecofin Sustainable's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Ecofin Fund price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Ecofin. Basic forecasting techniques help filter out the noise by identifying Ecofin Sustainable's price trends.View Ecofin Sustainable Related Equities
| Risk & Return | Correlation |
Ecofin Sustainable And Technical and Predictive Analytics
The fund market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Ecofin Sustainable'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 Ecofin Sustainable's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Ecofin Sustainable Market Strength Events
Market strength indicators help investors to evaluate how Ecofin Sustainable fund reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Ecofin Sustainable shares will generate the highest return on investment. By undertsting and applying Ecofin Sustainable fund market strength indicators, traders can identify Ecofin Sustainable And entry and exit signals to maximize returns.
Ecofin Sustainable Risk Indicators
The analysis of Ecofin Sustainable'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 Ecofin Sustainable's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting ecofin fund 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 | 0.4323 | |||
| Semi Deviation | 0.4825 | |||
| Standard Deviation | 0.6075 | |||
| Variance | 0.3691 | |||
| Downside Variance | 0.449 | |||
| Semi Variance | 0.2329 | |||
| Expected Short fall | (0.48) |
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 Ecofin Fund
Ecofin Sustainable financial ratios help investors to determine whether Ecofin Fund 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 Ecofin with respect to the benefits of owning Ecofin Sustainable security.
| Fundamental Analysis View fundamental data based on most recent published financial statements | |
| Sign In To Macroaxis Sign in to explore Macroaxis' wealth optimization platform and fintech modules | |
| Global Correlations Find global opportunities by holding instruments from different markets | |
| Money Managers Screen money managers from public funds and ETFs managed around the world |