Ing Groep Nv Stock Market Value
INGVF Stock | USD 16.15 0.00 0.00% |
Symbol | ING |
ING Groep '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 Groep's pink sheet 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 Groep.
01/26/2024 |
| 04/25/2024 |
If you would invest 0.00 in ING Groep on January 26, 2024 and sell it all today you would earn a total of 0.00 from holding ING Groep NV or generate 0.0% return on investment in ING Groep over 90 days. ING Groep is related to or competes with ANZ Group, National Australia, Bank of America, Bank of America, Wells Fargo, and Bank of America. ING Groep N.V., a financial institution, provides various banking products and services in the Netherlands, Belgium, Ger... More
ING Groep 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 Groep's pink sheet 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 Groep NV upside and downside potential and time the market with a certain degree of confidence.
Downside Deviation | 2.44 | |||
Information Ratio | 0.1119 | |||
Maximum Drawdown | 8.49 | |||
Value At Risk | (1.93) | |||
Potential Upside | 3.31 |
ING Groep Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for ING Groep's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as ING Groep's standard deviation. In reality, there are many statistical measures that can use ING Groep historical prices to predict the future ING Groep's volatility.Risk Adjusted Performance | 0.1133 | |||
Jensen Alpha | 0.2372 | |||
Total Risk Alpha | 0.0457 | |||
Sortino Ratio | 0.073 | |||
Treynor Ratio | 0.8703 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of ING Groep'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 Groep NV Backtested Returns
ING Groep appears to be very steady, given 3 months investment horizon. ING Groep NV holds Efficiency (Sharpe) Ratio of 0.15, which attests that the entity had a 0.15% return per unit of risk over the last 3 months. We have found twenty-five technical indicators for ING Groep NV, which you can use to evaluate the volatility of the firm. Please utilize ING Groep's Market Risk Adjusted Performance of 0.8803, risk adjusted performance of 0.1133, and Semi Deviation of 0.7963 to validate if our risk estimates are consistent with your expectations. On a scale of 0 to 100, ING Groep holds a performance score of 11. The company retains a Market Volatility (i.e., Beta) of 0.3, which attests to possible diversification benefits within a given portfolio. As returns on the market increase, ING Groep's returns are expected to increase less than the market. However, during the bear market, the loss of holding ING Groep is expected to be smaller as well. Please check ING Groep's maximum drawdown, and the relationship between the jensen alpha and semi variance , to make a quick decision on whether ING Groep's current trending patterns will revert.
Auto-correlation | 0.08 |
Virtually no predictability
ING Groep NV has virtually no predictability. Overlapping area represents the amount of predictability between ING Groep time series from 26th of January 2024 to 11th of March 2024 and 11th of March 2024 to 25th 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 Groep NV price movement. The serial correlation of 0.08 indicates that barely 8.0% of current ING Groep price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.08 | |
Spearman Rank Test | 0.49 | |
Residual Average | 0.0 | |
Price Variance | 0.35 |
ING Groep NV lagged returns against current returns
Autocorrelation, which is ING Groep pink sheet'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 Groep's pink sheet expected returns. We can calculate the autocorrelation of ING Groep returns to help us make a trade decision. For example, suppose you find that ING Groep has exhibited high autocorrelation historically, and you observe that the pink sheet 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 Groep 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 Groep pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if ING Groep pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in ING Groep pink sheet over time.
Current vs Lagged Prices |
Timeline |
ING Groep Lagged Returns
When evaluating ING Groep's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of ING Groep pink sheet have on its future price. ING Groep 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 Groep autocorrelation shows the relationship between ING Groep pink sheet current value and its past values and can show if there is a momentum factor associated with investing in ING Groep 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 Groep 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 Groep's short interest history, or implied volatility extrapolated from ING Groep options trading.
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Try AI Portfolio ArchitectCheck out ING Groep Correlation, ING Groep Volatility and ING Groep Alpha and Beta module to complement your research on ING Groep. 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 Pink Sheet 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.
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ING Groep technical pink sheet 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, pink sheet market cycles, or different charting patterns.