Ing Group Nv Stock Market Value
| ING Stock | USD 15.86 0.22 1.41% |
| Symbol | ING |
ING Group NV Price To Book Ratio
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 2.17 | 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.
ING Group 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to ING Group's stock what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of ING Group.
| 12/20/2023 |
| 04/18/2024 |
If you would invest 0.00 in ING Group on December 20, 2023 and sell it all today you would earn a total of 0.00 from holding ING Group NV or generate 0.0% return on investment in ING Group over 120 days. ING Group is related to or competes with Toronto Dominion, Nu Holdings, Bank of Montreal, Bank of Nova Scotia, and Barclays PLC. ING Groep N.V., a financial institution, provides various banking products and services in the Netherlands, Belgium, Ger... More
ING Group Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure ING Group's stock current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess ING Group NV upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.85 | |||
| Information Ratio | 0.0916 | |||
| Maximum Drawdown | 7.82 | |||
| Value At Risk | (1.59) | |||
| Potential Upside | 2.24 |
ING Group Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for ING Group's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as ING Group's standard deviation. In reality, there are many statistical measures that can use ING Group historical prices to predict the future ING Group's volatility.| Risk Adjusted Performance | 0.0872 | |||
| Jensen Alpha | 0.1448 | |||
| Total Risk Alpha | 0.0741 | |||
| Sortino Ratio | 0.0729 | |||
| Treynor Ratio | 0.2309 |
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.
ING Group NV Backtested Returns
ING Group appears to be very steady, given 3 months investment horizon. ING Group NV holds Efficiency (Sharpe) Ratio of 0.14, which attests that the entity had a 0.14% return per unit of risk over the last 3 months. We have found thirty technical indicators for ING Group NV, which you can use to evaluate the volatility of the firm. Please utilize ING Group's Semi Deviation of 1.65, risk adjusted performance of 0.0872, and Market Risk Adjusted Performance of 0.2409 to validate if our risk estimates are consistent with your expectations. On a scale of 0 to 100, ING Group holds a performance score of 11. The company retains a Market Volatility (i.e., Beta) of 0.78, which attests to possible diversification benefits within a given portfolio. As returns on the market increase, ING Group's returns are expected to increase less than the market. However, during the bear market, the loss of holding ING Group is expected to be smaller as well. Please check ING Group's semi variance, day typical price, and the relationship between the maximum drawdown and accumulation distribution , to make a quick decision on whether ING Group's current trending patterns will revert.
Auto-correlation | -0.89 |
Excellent reverse predictability
ING Group NV has excellent reverse predictability. Overlapping area represents the amount of predictability between ING Group time series from 20th of December 2023 to 18th of February 2024 and 18th of February 2024 to 18th of April 2024. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of ING Group NV price movement. The serial correlation of -0.89 indicates that approximately 89.0% of current ING Group price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.89 | |
| Spearman Rank Test | -0.74 | |
| Residual Average | 0.0 | |
| Price Variance | 1.29 |
ING Group NV lagged returns against current returns
Autocorrelation, which is ING Group stock's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting ING Group's stock expected returns. We can calculate the autocorrelation of ING Group returns to help us make a trade decision. For example, suppose you find that ING Group has exhibited high autocorrelation historically, and you observe that the stock is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values |
| Timeline |
ING Group regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If ING Group stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if ING Group stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in ING Group stock over time.
Current vs Lagged Prices |
| Timeline |
ING Group Lagged Returns
When evaluating ING Group's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of ING Group stock have on its future price. ING Group autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, ING Group autocorrelation shows the relationship between ING Group stock current value and its past values and can show if there is a momentum factor associated with investing in ING Group NV.
Regressed Prices |
| Timeline |
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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Try AI Portfolio ArchitectCheck out ING Group Correlation, ING Group Volatility and ING Group Alpha and Beta module to complement your research on ING Group. You can also try the Risk-Return Analysis module to view associations between returns expected from investment and the risk you assume.
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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ING Group technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.