Ege Endustri Stock Forecast - Simple Regression

EGEEN Stock  TRY 12,208  147.50  1.19%   
The Simple Regression forecasted value of Ege Endustri ve on the next trading day is expected to be 13,447 with a mean absolute deviation of 921.76 and the sum of the absolute errors of 56,227. Ege Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Ege Endustri's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
Most investors in Ege Endustri cannot accurately predict what will happen the next trading day because, historically, stock markets tend to be unpredictable and even illogical. Modeling turbulent structures requires applying different statistical methods, techniques, and algorithms to find hidden data structures or patterns within the Ege Endustri's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Ege Endustri's price structures and extracts relationships that further increase the generated results' accuracy.
Simple Regression model is a single variable regression model that attempts to put a straight line through Ege Endustri price points. This line is defined by its gradient or slope, and the point at which it intercepts the x-axis. Mathematically, assuming the independent variable is X and the dependent variable is Y, then this line can be represented as: Y = intercept + slope * X.

Ege Endustri Simple Regression Price Forecast For the 10th of June

Given 90 days horizon, the Simple Regression forecasted value of Ege Endustri ve on the next trading day is expected to be 13,447 with a mean absolute deviation of 921.76, mean absolute percentage error of 1,234,409, and the sum of the absolute errors of 56,227.
Please note that although there have been many attempts to predict Ege 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 Ege Endustri's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Ege Endustri Stock Forecast Pattern

Backtest Ege EndustriEge Endustri Price PredictionBuy or Sell Advice 

Ege Endustri Forecasted Value

In the context of forecasting Ege Endustri'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. Ege Endustri's downside and upside margins for the forecasting period are 13,444 and 13,451, respectively. We have considered Ege Endustri'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
12,208
13,444
Downside
13,447
Expected Value
13,451
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Simple Regression forecasting method's relative quality and the estimations of the prediction error of Ege Endustri stock data series using in forecasting. Note that when a statistical model is used to represent Ege Endustri 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 Criteria132.1366
BiasArithmetic mean of the errors None
MADMean absolute deviation921.7619
MAPEMean absolute percentage error0.0615
SAESum of the absolute errors56227.4777
In general, regression methods applied to historical equity returns or prices series is an area of active research. In recent decades, new methods have been developed for robust regression of price series such as Ege Endustri ve historical returns. These new methods are regression involving correlated responses such as growth curves and different regression methods accommodating various types of missing data.

Predictive Modules for Ege Endustri

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Ege Endustri ve. 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.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Ege Endustri's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Hype
Prediction
LowEstimatedHigh
12,20412,20812,211
Details
Intrinsic
Valuation
LowRealHigh
11,33511,33813,428
Details
Bollinger
Band Projection (param)
LowMiddleHigh
11,89313,50815,122
Details

Other Forecasting Options for Ege Endustri

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

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

Ege Endustri ve 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 Ege Endustri'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 Ege Endustri's current price.

Ege Endustri Market Strength Events

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

Ege Endustri Risk Indicators

The analysis of Ege Endustri'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 Ege Endustri's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting ege 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.

Pair Trading with Ege Endustri

One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Ege Endustri position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Ege Endustri will appreciate offsetting losses from the drop in the long position's value.

Moving against Ege Stock

  0.64EREGL Eregli Demir vePairCorr
  0.56GARAN Turkiye Garanti BankasiPairCorr
  0.49ISBTR Turkiye Is BankasiPairCorr
  0.33KCHOL Koc Holding ASPairCorr
The ability to find closely correlated positions to Ege Endustri could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Ege Endustri when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Ege Endustri - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Ege Endustri ve to buy it.
The correlation of Ege Endustri is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Ege Endustri moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Ege Endustri ve moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Ege Endustri can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.
Pair CorrelationCorrelation Matching

Other Information on Investing in Ege Stock

Ege Endustri financial ratios help investors to determine whether Ege 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 Ege with respect to the benefits of owning Ege Endustri security.