Eurobank Ergasias Pink Sheet Forecast - Simple Regression
| EGFEY Stock | USD 1.03 0.02 1.98% |
The Simple Regression forecasted value of Eurobank Ergasias SA on the next trading day is expected to be 0.97 with a mean absolute deviation of 0.02 and the sum of the absolute errors of 1.33. Eurobank Pink Sheet Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Eurobank Ergasias stock prices and determine the direction of Eurobank Ergasias SA's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Eurobank Ergasias' historical fundamentals, such as revenue growth or operating cash flow patterns.
Check out Historical Fundamental Analysis of Eurobank Ergasias to cross-verify your projections. Eurobank |
Most investors in Eurobank Ergasias 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 Eurobank Ergasias' time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Eurobank Ergasias' 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 Eurobank Ergasias 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. Eurobank Ergasias Simple Regression Price Forecast For the 28th of April
Given 90 days horizon, the Simple Regression forecasted value of Eurobank Ergasias SA on the next trading day is expected to be 0.97 with a mean absolute deviation of 0.02, mean absolute percentage error of 0.0006, and the sum of the absolute errors of 1.33.Please note that although there have been many attempts to predict Eurobank Pink Sheet 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 Eurobank Ergasias' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Eurobank Ergasias Pink Sheet Forecast Pattern
| Backtest Eurobank Ergasias | Eurobank Ergasias Price Prediction | Buy or Sell Advice |
Eurobank Ergasias Forecasted Value
In the context of forecasting Eurobank Ergasias' Pink Sheet 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. Eurobank Ergasias' downside and upside margins for the forecasting period are 0.01 and 3.01, respectively. We have considered Eurobank Ergasias' 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 Simple Regression forecasting method's relative quality and the estimations of the prediction error of Eurobank Ergasias pink sheet data series using in forecasting. Note that when a statistical model is used to represent Eurobank Ergasias pink sheet, 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 | 112.559 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.0215 |
| MAPE | Mean absolute percentage error | 0.0221 |
| SAE | Sum of the absolute errors | 1.3301 |
Predictive Modules for Eurobank Ergasias
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Eurobank Ergasias. Regardless of method or technology, however, to accurately forecast the pink sheet market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the pink sheet 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 Eurobank Ergasias' 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.
Other Forecasting Options for Eurobank Ergasias
For every potential investor in Eurobank, whether a beginner or expert, Eurobank Ergasias' price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Eurobank Pink Sheet price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Eurobank. Basic forecasting techniques help filter out the noise by identifying Eurobank Ergasias' price trends.Eurobank Ergasias 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 Eurobank Ergasias pink sheet to make a market-neutral strategy. Peer analysis of Eurobank Ergasias could also be used in its relative valuation, which is a method of valuing Eurobank Ergasias by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Eurobank Ergasias Technical and Predictive Analytics
The pink sheet market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Eurobank Ergasias' 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 Eurobank Ergasias' current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Eurobank Ergasias Market Strength Events
Market strength indicators help investors to evaluate how Eurobank Ergasias pink sheet reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Eurobank Ergasias shares will generate the highest return on investment. By undertsting and applying Eurobank Ergasias pink sheet market strength indicators, traders can identify Eurobank Ergasias SA entry and exit signals to maximize returns.
| Accumulation Distribution | 164.08 | |||
| Daily Balance Of Power | 2.0 | |||
| Rate Of Daily Change | 1.02 | |||
| Day Median Price | 1.02 | |||
| Day Typical Price | 1.03 | |||
| Price Action Indicator | 0.015 | |||
| Period Momentum Indicator | 0.02 |
Eurobank Ergasias Risk Indicators
The analysis of Eurobank Ergasias' 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 Eurobank Ergasias' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting eurobank pink sheet 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 | 1.33 | |||
| Semi Deviation | 1.34 | |||
| Standard Deviation | 1.98 | |||
| Variance | 3.92 | |||
| Downside Variance | 4.66 | |||
| Semi Variance | 1.79 | |||
| Expected Short fall | (2.37) |
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 Eurobank Ergasias
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 Eurobank Ergasias 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 Eurobank Ergasias will appreciate offsetting losses from the drop in the long position's value.Moving against Eurobank Pink Sheet
| 0.52 | BBDC4 | Banco Bradesco SA | PairCorr |
The ability to find closely correlated positions to Eurobank Ergasias could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Eurobank Ergasias 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 Eurobank Ergasias - 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 Eurobank Ergasias SA to buy it.
The correlation of Eurobank Ergasias 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 Eurobank Ergasias moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Eurobank Ergasias 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 Eurobank Ergasias 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.Check out Historical Fundamental Analysis of Eurobank Ergasias to cross-verify your projections. Note that the Eurobank Ergasias information on this page should be used as a complementary analysis to other Eurobank Ergasias' statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Transaction History module to view history of all your transactions and understand their impact on performance.
Complementary Tools for Eurobank Pink Sheet analysis
When running Eurobank Ergasias' price analysis, check to measure Eurobank Ergasias' 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 Eurobank Ergasias is operating at the current time. Most of Eurobank Ergasias' value examination focuses on studying past and present price action to predict the probability of Eurobank Ergasias' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Eurobank Ergasias' price. Additionally, you may evaluate how the addition of Eurobank Ergasias to your portfolios can decrease your overall portfolio volatility.
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