Yayla Enerji Stock Forecast - Naive Prediction

YAYLA Stock  TRY 13.26  0.11  0.82%   
The Naive Prediction forecasted value of Yayla Enerji Uretim on the next trading day is expected to be 13.47 with a mean absolute deviation of 0.36 and the sum of the absolute errors of 22.25. Yayla Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Yayla Enerji's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
A naive forecasting model for Yayla Enerji is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of Yayla Enerji Uretim 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.

Yayla Enerji Naive Prediction Price Forecast For the 26th of November

Given 90 days horizon, the Naive Prediction forecasted value of Yayla Enerji Uretim on the next trading day is expected to be 13.47 with a mean absolute deviation of 0.36, mean absolute percentage error of 0.23, and the sum of the absolute errors of 22.25.
Please note that although there have been many attempts to predict Yayla 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 Yayla Enerji's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Yayla Enerji Stock Forecast Pattern

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Yayla Enerji Forecasted Value

In the context of forecasting Yayla 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. Yayla Enerji's downside and upside margins for the forecasting period are 10.31 and 16.62, respectively. We have considered Yayla 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.
Market Value
13.26
13.47
Expected Value
16.62
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 Yayla Enerji stock data series using in forecasting. Note that when a statistical model is used to represent Yayla 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.
AICAkaike Information Criteria116.6421
BiasArithmetic mean of the errors None
MADMean absolute deviation0.3647
MAPEMean absolute percentage error0.0264
SAESum of the absolute errors22.2492
This model is not at all useful as a medium-long range forecasting tool of Yayla Enerji Uretim. 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 Yayla Enerji. 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 Yayla 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 Yayla Enerji Uretim. 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
10.1013.2616.42
Details
Intrinsic
Valuation
LowRealHigh
10.5813.7416.90
Details
Bollinger
Band Projection (param)
LowMiddleHigh
13.1913.3013.40
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Yayla Enerji. Your research has to be compared to or analyzed against Yayla Enerji's peers to derive any actionable benefits. When done correctly, Yayla Enerji's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in Yayla Enerji Uretim.

Other Forecasting Options for Yayla Enerji

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

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

Yayla Enerji Uretim 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 Yayla 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 Yayla Enerji's current price.

Yayla Enerji Market Strength Events

Market strength indicators help investors to evaluate how Yayla 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 Yayla Enerji shares will generate the highest return on investment. By undertsting and applying Yayla Enerji stock market strength indicators, traders can identify Yayla Enerji Uretim entry and exit signals to maximize returns.

Yayla Enerji Risk Indicators

The analysis of Yayla 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 Yayla Enerji's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting yayla 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.

Thematic Opportunities

Explore Investment Opportunities

Build portfolios using Macroaxis predefined set of investing ideas. Many of Macroaxis investing ideas can easily outperform a given market. Ideas can also be optimized per your risk profile before portfolio origination is invoked. Macroaxis thematic optimization helps investors identify companies most likely to benefit from changes or shifts in various micro-economic or local macro-level trends. Originating optimal thematic portfolios involves aligning investors' personal views, ideas, and beliefs with their actual investments.
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Other Information on Investing in Yayla Stock

Yayla Enerji financial ratios help investors to determine whether Yayla 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 Yayla with respect to the benefits of owning Yayla Enerji security.