ING Group Stock Forecast - Polynomial Regression

ING Stock  USD 16.49  0.23  1.41%   
The Polynomial Regression forecasted value of ING Group NV on the next trading day is expected to be 17.05 with a mean absolute deviation of  0.25  and the sum of the absolute errors of 15.56. ING Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast ING Group stock prices and determine the direction of ING Group NV's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of ING Group's historical fundamentals, such as revenue growth or operating cash flow patterns. Although ING Group's naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of ING Group's systematic risk associated with finding meaningful patterns of ING Group fundamentals over time.
Check out Historical Fundamental Analysis of ING Group to cross-verify your projections.
  
At this time, ING Group's Receivables Turnover is most likely to increase significantly in the upcoming years. . The ING Group's current Net Income Applicable To Common Shares is estimated to increase to about 4.6 B, while Common Stock Shares Outstanding is projected to decrease to roughly 3.3 B.

Open Interest Against 2024-04-19 ING Option Contracts

Although open interest is a measure utilized in the options markets, it could be used to forecast ING Group's spot prices because the number of available contracts in the market changes daily, and new contracts can be created or liquidated at will. Since open interest in ING Group's options reflects these daily shifts, investors could use the patterns of these changes to develop long and short-term trading strategies for ING Group stock based on available contracts left at the end of a trading day.
Please note that to derive more accurate forecasting about market movement from the current ING Group's open interest, investors have to compare it to ING Group's spot prices. As Ford's stock price increases, high open interest indicates that money is entering the market, and the market is strongly bullish. Conversely, if the price of ING Group is decreasing and there is high open interest, that is a sign that the bearish trend will continue, and investors may react by taking short positions in ING. So, decreasing or low open interest during a bull market indicates that investors are becoming uncertain of the depth of the bullish trend, and a reversal in sentiment will likely follow.
Most investors in ING Group 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 ING Group's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets ING Group's price structures and extracts relationships that further increase the generated results' accuracy.
ING Group polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for ING Group NV as well as the accuracy indicators are determined from the period prices.

ING Group Polynomial Regression Price Forecast For the 30th of March

Given 90 days horizon, the Polynomial Regression forecasted value of ING Group NV on the next trading day is expected to be 17.05 with a mean absolute deviation of 0.25, mean absolute percentage error of 0.1, and the sum of the absolute errors of 15.56.
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 Group's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

ING Group Stock Forecast Pattern

Backtest ING GroupING Group Price PredictionBuy or Sell Advice 

ING Group Forecasted Value

In the context of forecasting ING Group'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 Group's downside and upside margins for the forecasting period are 15.68 and 18.42, respectively. We have considered ING Group'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
16.49
17.05
Expected Value
18.42
Upside

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 ING Group stock data series using in forecasting. Note that when a statistical model is used to represent ING Group 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 Criteria117.6452
BiasArithmetic mean of the errors None
MADMean absolute deviation0.251
MAPEMean absolute percentage error0.0177
SAESum of the absolute errors15.564
A single variable polynomial regression model attempts to put a curve through the ING Group historical price points. Mathematically, assuming the independent variable is X and the dependent variable is Y, this line can be indicated as: Y = a0 + a1*X + a2*X2 + a3*X3 + ... + am*Xm

Predictive Modules for ING Group

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 Group 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.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of ING Group'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
15.5916.4917.39
Details
Intrinsic
Valuation
LowRealHigh
14.8418.8319.73
Details
Bollinger
Band Projection (param)
LowMiddleHigh
15.5716.0716.56
Details
2 Analysts
Consensus
LowTargetHigh
17.0918.7820.85
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as ING Group. Your research has to be compared to or analyzed against ING Group's peers to derive any actionable benefits. When done correctly, ING Group's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in ING Group NV.

Other Forecasting Options for ING Group

For every potential investor in ING, whether a beginner or expert, ING Group'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 Group's price trends.

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

ING Group 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 Group'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 Group's current price.

ING Group Market Strength Events

Market strength indicators help investors to evaluate how ING Group 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 Group shares will generate the highest return on investment. By undertsting and applying ING Group stock market strength indicators, traders can identify ING Group NV entry and exit signals to maximize returns.

ING Group Risk Indicators

The analysis of ING Group'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 ING Group's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting ing 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.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards ING Group in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, ING Group's short interest history, or implied volatility extrapolated from ING Group options trading.

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When determining whether ING Group NV is a strong investment it is important to analyze ING Group's competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact ING Group's future performance. For an informed investment choice regarding ING Stock, refer to the following important reports:
Check out Historical Fundamental Analysis of ING Group to cross-verify your projections.
You can also try the Earnings Calls module to check upcoming earnings announcements updated hourly across public exchanges.

Complementary Tools for ING Stock analysis

When running ING Group's price analysis, check to measure ING Group'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 Group is operating at the current time. Most of ING Group's value examination focuses on studying past and present price action to predict the probability of ING Group'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 Group's price. Additionally, you may evaluate how the addition of ING Group to your portfolios can decrease your overall portfolio volatility.
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Is ING Group's industry expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of ING Group. If investors know ING will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about ING Group listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth
(0.83)
Dividend Share
1.106
Earnings Share
2.21
Revenue Per Share
4.947
Quarterly Revenue Growth
(0.95)
The market value of ING Group NV is measured differently than its book value, which is the value of ING that is recorded on the company's balance sheet. Investors also form their own opinion of ING Group's value that differs from its market value or its book value, called intrinsic value, which is ING Group's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because ING Group's market value can be influenced by many factors that don't directly affect ING Group's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between ING Group's value and its price as these two are different measures arrived at by different means. Investors typically determine if ING Group is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, ING Group's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.