Bank of Greece Stock Forecast - Naive Prediction

TELL Stock  EUR 13.10  0.25  1.87%   
The Naive Prediction forecasted value of Bank of Greece on the next trading day is expected to be 13.16 with a mean absolute deviation of 0.07 and the sum of the absolute errors of 4.61. Bank Stock Forecast is based on your current time horizon.
  
A naive forecasting model for Bank of Greece is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of Bank of Greece 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.

Bank of Greece Naive Prediction Price Forecast For the 24th of November

Given 90 days horizon, the Naive Prediction forecasted value of Bank of Greece on the next trading day is expected to be 13.16 with a mean absolute deviation of 0.07, mean absolute percentage error of 0.01, and the sum of the absolute errors of 4.61.
Please note that although there have been many attempts to predict Bank 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 Bank of Greece's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Bank of Greece Stock Forecast Pattern

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Bank of Greece Forecasted Value

In the context of forecasting Bank of Greece'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. Bank of Greece's downside and upside margins for the forecasting period are 12.31 and 14.02, respectively. We have considered Bank of Greece'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
13.10
13.16
Expected Value
14.02
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 Bank of Greece stock data series using in forecasting. Note that when a statistical model is used to represent Bank of Greece 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 Criteria115.3254
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0744
MAPEMean absolute percentage error0.0056
SAESum of the absolute errors4.6133
This model is not at all useful as a medium-long range forecasting tool of Bank of Greece. 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 Bank of Greece. 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 Bank of Greece

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Bank of Greece. 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
12.2413.1013.96
Details
Intrinsic
Valuation
LowRealHigh
12.4013.2614.12
Details
Bollinger
Band Projection (param)
LowMiddleHigh
13.0213.2113.39
Details

Other Forecasting Options for Bank of Greece

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

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

Bank of Greece 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 Bank of Greece'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 Bank of Greece's current price.

Bank of Greece Market Strength Events

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

Bank of Greece Risk Indicators

The analysis of Bank of Greece'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 Bank of Greece's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting bank 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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Additional Tools for Bank Stock Analysis

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