ING Group Stock Forecast - Polynomial Regression
| ING Stock | USD 15.66 0.24 1.51% |
The Polynomial Regression forecasted value of ING Group NV on the next trading day is expected to be 14.84 with a mean absolute deviation of 0.22 and the sum of the absolute errors of 13.46. 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.
Check out Historical Fundamental Analysis of ING Group to cross-verify your projections. ING |
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 26th of April
Given 90 days horizon, the Polynomial Regression forecasted value of ING Group NV on the next trading day is expected to be 14.84 with a mean absolute deviation of 0.22, mean absolute percentage error of 0.08, and the sum of the absolute errors of 13.46.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
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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 13.25 and 16.44, 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.
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.| AIC | Akaike Information Criteria | 115.5688 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.2206 |
| MAPE | Mean absolute percentage error | 0.0148 |
| SAE | Sum of the absolute errors | 13.4562 |
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.
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.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
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.
| Mean Deviation | 1.14 | |||
| Semi Deviation | 1.89 | |||
| Standard Deviation | 1.6 | |||
| Variance | 2.56 | |||
| Downside Variance | 4.07 | |||
| Semi Variance | 3.58 | |||
| Expected Short fall | (1.11) |
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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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.
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.