Greek Organization Stock Forecast - Simple Regression

OPAP Stock  EUR 15.13  0.59  4.06%   
The Simple Regression forecasted value of Greek Organization of on the next trading day is expected to be 14.72 with a mean absolute deviation of 0.15 and the sum of the absolute errors of 8.99. Greek Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Greek Organization stock prices and determine the direction of Greek Organization of's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Greek Organization's historical fundamentals, such as revenue growth or operating cash flow patterns.
Check out Historical Fundamental Analysis of Greek Organization to cross-verify your projections.
  
Most investors in Greek Organization 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 Greek Organization's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Greek Organization'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 Greek Organization 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.

Greek Organization Simple Regression Price Forecast For the 7th of June

Given 90 days horizon, the Simple Regression forecasted value of Greek Organization of on the next trading day is expected to be 14.72 with a mean absolute deviation of 0.15, mean absolute percentage error of 0.03, and the sum of the absolute errors of 8.99.
Please note that although there have been many attempts to predict Greek 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 Greek Organization's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Greek Organization Stock Forecast Pattern

Backtest Greek OrganizationGreek Organization Price PredictionBuy or Sell Advice 

Greek Organization Forecasted Value

In the context of forecasting Greek Organization'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. Greek Organization's downside and upside margins for the forecasting period are 13.44 and 16.00, respectively. We have considered Greek Organization'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
15.13
14.72
Expected Value
16.00
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 Greek Organization stock data series using in forecasting. Note that when a statistical model is used to represent Greek Organization 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 Criteria116.5448
BiasArithmetic mean of the errors None
MADMean absolute deviation0.145
MAPEMean absolute percentage error0.0092
SAESum of the absolute errors8.9901
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 Greek Organization of 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 Greek Organization

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Greek Organization. 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 Greek Organization'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
13.8515.1316.41
Details
Intrinsic
Valuation
LowRealHigh
13.4714.7516.03
Details
Bollinger
Band Projection (param)
LowMiddleHigh
14.4915.2015.90
Details

Other Forecasting Options for Greek Organization

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

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

Greek Organization 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 Greek Organization'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 Greek Organization's current price.

Greek Organization Market Strength Events

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

Greek Organization Risk Indicators

The analysis of Greek Organization'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 Greek Organization's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting greek 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 Greek Organization

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 Greek Organization 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 Greek Organization will appreciate offsetting losses from the drop in the long position's value.

Moving against Greek Stock

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  0.77EEE Coca Cola HBCPairCorr
  0.74EUROB Eurobank ErgasiasPairCorr
  0.61GEKTERNA GEK TERNA HoldingsPairCorr
  0.61ELPE Hellenic PetroleumPairCorr
The ability to find closely correlated positions to Greek Organization could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Greek Organization 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 Greek Organization - 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 Greek Organization of to buy it.
The correlation of Greek Organization 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 Greek Organization moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Greek Organization 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 Greek Organization 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

Additional Tools for Greek Stock Analysis

When running Greek Organization's price analysis, check to measure Greek Organization's 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 Greek Organization is operating at the current time. Most of Greek Organization's value examination focuses on studying past and present price action to predict the probability of Greek Organization's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Greek Organization's price. Additionally, you may evaluate how the addition of Greek Organization to your portfolios can decrease your overall portfolio volatility.