Greencoat Renewables Stock Forecast - Naive Prediction

GRP Stock  EUR 0.86  0.01  1.15%   
The Naive Prediction forecasted value of Greencoat Renewables PLC on the next trading day is expected to be 0.92 with a mean absolute deviation of 0.01 and the sum of the absolute errors of 0.68. Greencoat Stock Forecast is based on your current time horizon.
  
A naive forecasting model for Greencoat Renewables is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of Greencoat Renewables PLC value for a given trading day is simply the observed value for the previous period. Due to the simplistic nature of the naive forecasting model, it can only be used to forecast up to one period.

Greencoat Renewables Naive Prediction Price Forecast For the 29th of November

Given 90 days horizon, the Naive Prediction forecasted value of Greencoat Renewables PLC on the next trading day is expected to be 0.92 with a mean absolute deviation of 0.01, mean absolute percentage error of 0.0002, and the sum of the absolute errors of 0.68.
Please note that although there have been many attempts to predict Greencoat 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 Greencoat Renewables' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Greencoat Renewables Stock Forecast Pattern

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Greencoat Renewables Forecasted Value

In the context of forecasting Greencoat Renewables' 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. Greencoat Renewables' downside and upside margins for the forecasting period are 0.01 and 2.17, respectively. We have considered Greencoat Renewables' 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.
Market Value
0.86
0.92
Expected Value
2.17
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Naive Prediction forecasting method's relative quality and the estimations of the prediction error of Greencoat Renewables stock data series using in forecasting. Note that when a statistical model is used to represent Greencoat Renewables 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.
AICAkaike Information Criteria109.6108
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0111
MAPEMean absolute percentage error0.0126
SAESum of the absolute errors0.6799
This model is not at all useful as a medium-long range forecasting tool of Greencoat Renewables PLC. This model is simplistic and is included partly for completeness and partly because of its simplicity. It is unlikely that you'll want to use this model directly to predict Greencoat Renewables. Instead, consider using either the moving average model or the more general weighted moving average model with a higher (i.e., greater than 1) number of periods, and possibly a different set of weights.

Predictive Modules for Greencoat Renewables

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Greencoat Renewables PLC. 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.
Hype
Prediction
LowEstimatedHigh
0.040.862.11
Details
Intrinsic
Valuation
LowRealHigh
0.040.731.98
Details

Other Forecasting Options for Greencoat Renewables

For every potential investor in Greencoat, whether a beginner or expert, Greencoat Renewables' price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Greencoat Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Greencoat. Basic forecasting techniques help filter out the noise by identifying Greencoat Renewables' price trends.

Greencoat Renewables 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 Greencoat Renewables stock to make a market-neutral strategy. Peer analysis of Greencoat Renewables could also be used in its relative valuation, which is a method of valuing Greencoat Renewables by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

Greencoat Renewables PLC 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 Greencoat Renewables' 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 Greencoat Renewables' current price.

Greencoat Renewables Market Strength Events

Market strength indicators help investors to evaluate how Greencoat Renewables stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Greencoat Renewables shares will generate the highest return on investment. By undertsting and applying Greencoat Renewables stock market strength indicators, traders can identify Greencoat Renewables PLC entry and exit signals to maximize returns.

Greencoat Renewables Risk Indicators

The analysis of Greencoat Renewables' 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 Greencoat Renewables' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting greencoat 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.
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.

Additional Tools for Greencoat Stock Analysis

When running Greencoat Renewables' price analysis, check to measure Greencoat Renewables' market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Greencoat Renewables is operating at the current time. Most of Greencoat Renewables' value examination focuses on studying past and present price action to predict the probability of Greencoat Renewables' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Greencoat Renewables' price. Additionally, you may evaluate how the addition of Greencoat Renewables to your portfolios can decrease your overall portfolio volatility.