Aareal Bank Pink Sheet Forecast - Polynomial Regression
| AAALY Stock | USD 34.65 0.00 0.00% |
The Polynomial Regression forecasted value of Aareal Bank AG on the next trading day is expected to be 34.65 with a mean absolute deviation of 0 and the sum of the absolute errors of 0. Aareal Pink Sheet Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Aareal Bank stock prices and determine the direction of Aareal Bank AG's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Aareal Bank's historical fundamentals, such as revenue growth or operating cash flow patterns.
Check out Historical Fundamental Analysis of Aareal Bank to cross-verify your projections. Aareal |
Most investors in Aareal Bank 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 Aareal Bank's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Aareal Bank's price structures and extracts relationships that further increase the generated results' accuracy.
Aareal Bank polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Aareal Bank AG as well as the accuracy indicators are determined from the period prices. Aareal Bank Polynomial Regression Price Forecast For the 21st of April
Given 90 days horizon, the Polynomial Regression forecasted value of Aareal Bank AG on the next trading day is expected to be 34.65 with a mean absolute deviation of 0, mean absolute percentage error of 0, and the sum of the absolute errors of 0.Please note that although there have been many attempts to predict Aareal 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 Aareal Bank's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Aareal Bank Pink Sheet Forecast Pattern
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Aareal Bank Forecasted Value
In the context of forecasting Aareal Bank's 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. Aareal Bank's downside and upside margins for the forecasting period are 34.65 and 34.65, respectively. We have considered Aareal Bank'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.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Polynomial Regression forecasting method's relative quality and the estimations of the prediction error of Aareal Bank pink sheet data series using in forecasting. Note that when a statistical model is used to represent Aareal Bank 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 | 59.5272 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.0 |
| MAPE | Mean absolute percentage error | 0.0 |
| SAE | Sum of the absolute errors | 0.0 |
Predictive Modules for Aareal Bank
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Aareal Bank AG. 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 Aareal Bank'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.
Other Forecasting Options for Aareal Bank
For every potential investor in Aareal, whether a beginner or expert, Aareal Bank's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Aareal Pink Sheet price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Aareal. Basic forecasting techniques help filter out the noise by identifying Aareal Bank's price trends.View Aareal Bank Related Equities
| Risk & Return | Correlation |
Aareal Bank AG 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 Aareal Bank'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 Aareal Bank's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Aareal Bank Market Strength Events
Market strength indicators help investors to evaluate how Aareal Bank 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 Aareal Bank shares will generate the highest return on investment. By undertsting and applying Aareal Bank pink sheet market strength indicators, traders can identify Aareal Bank AG entry and exit signals to maximize returns.
Pair Trading with Aareal Bank
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 Aareal Bank 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 Aareal Bank will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to Aareal Bank could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Aareal Bank 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 Aareal Bank - 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 Aareal Bank AG to buy it.
The correlation of Aareal Bank 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 Aareal Bank moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Aareal Bank AG 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 Aareal Bank 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 Aareal Bank to cross-verify your projections. You can also try the Latest Portfolios module to quick portfolio dashboard that showcases your latest portfolios.
Complementary Tools for Aareal Pink Sheet analysis
When running Aareal Bank's price analysis, check to measure Aareal Bank'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 Aareal Bank is operating at the current time. Most of Aareal Bank's value examination focuses on studying past and present price action to predict the probability of Aareal Bank's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Aareal Bank's price. Additionally, you may evaluate how the addition of Aareal Bank to your portfolios can decrease your overall portfolio volatility.
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