ING Groep Stock Forecast - Simple Moving Average

INGA Stock   7.98  0.00  0.00%   
The Simple Moving Average forecasted value of ING Groep NV on the next trading day is expected to be 7.98 with a mean absolute deviation of 0.00 and the sum of the absolute errors of 0.00. ING Stock Forecast is based on your current time horizon.
  
A two period moving average forecast for ING Groep is based on an daily price series in which the stock price on a given day is replaced by the mean of that price and the preceding price. This model is best suited to price patterns experiencing average volatility.

ING Groep Simple Moving Average Price Forecast For the 25th of November

Given 90 days horizon, the Simple Moving Average forecasted value of ING Groep NV on the next trading day is expected to be 7.98 with a mean absolute deviation of 0.00, mean absolute percentage error of 0.00, and the sum of the absolute errors of 0.00.
Please note that although there have been many attempts to predict ING 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 ING Groep's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

ING Groep Stock Forecast Pattern

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ING Groep Forecasted Value

In the context of forecasting ING Groep'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. ING Groep's downside and upside margins for the forecasting period are 7.98 and 7.98, respectively. We have considered ING Groep'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
7.98
7.98
Expected Value
7.98
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Simple Moving Average forecasting method's relative quality and the estimations of the prediction error of ING Groep stock data series using in forecasting. Note that when a statistical model is used to represent ING Groep 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 Criteria-9.223372036854776E14
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0
MAPEMean absolute percentage error0.0
SAESum of the absolute errors0.0
The simple moving average model is conceptually a linear regression of the current value of ING Groep NV price series against current and previous (unobserved) value of ING Groep. In time series analysis, the simple moving-average model is a very common approach for modeling univariate price series models including forecasting prices into the future

Predictive Modules for ING Groep

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as ING Groep NV. 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
7.987.987.98
Details
Intrinsic
Valuation
LowRealHigh
7.987.987.98
Details

Other Forecasting Options for ING Groep

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

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

ING Groep NV 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 ING Groep'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 ING Groep's current price.

ING Groep Market Strength Events

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

Pair Trading with ING Groep

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 ING Groep 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 ING Groep will appreciate offsetting losses from the drop in the long position's value.
The ability to find closely correlated positions to ING Groep could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace ING Groep 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 ING Groep - 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 ING Groep NV to buy it.
The correlation of ING Groep 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 ING Groep moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if ING Groep NV 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 ING Groep 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 ING Stock Analysis

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