ING Bank (Poland) Market Value
| ING Stock | 232.00 5.00 2.20% |
| Symbol | ING |
ING Bank '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 Bank'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 Bank.
| 12/10/2022 |
| 11/29/2024 |
If you would invest 0.00 in ING Bank on December 10, 2022 and sell it all today you would earn a total of 0.00 from holding ING Bank lski or generate 0.0% return on investment in ING Bank over 720 days. ING Bank is related to or competes with UniCredit SpA, Santander Bank, Bank Handlowy, BNP Paribas, Bank Millennium, and Bank Ochrony. More
ING Bank 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 Bank'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 Bank lski upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.17) | |||
| Maximum Drawdown | 10.41 | |||
| Value At Risk | (4.19) | |||
| Potential Upside | 2.73 |
ING Bank Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for ING Bank's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as ING Bank's standard deviation. In reality, there are many statistical measures that can use ING Bank historical prices to predict the future ING Bank's volatility.| Risk Adjusted Performance | (0.08) | |||
| Jensen Alpha | (0.20) | |||
| Total Risk Alpha | (0.53) | |||
| Treynor Ratio | 0.9824 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of ING Bank'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 Bank lski Backtested Returns
ING Bank lski holds Efficiency (Sharpe) Ratio of -0.13, which attests that the entity had a -0.13% return per unit of risk over the last 3 months. ING Bank lski exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out ING Bank's Risk Adjusted Performance of (0.08), market risk adjusted performance of 0.9924, and Coefficient Of Variation of (928.70) to validate the risk estimate we provide. The company retains a Market Volatility (i.e., Beta) of -0.23, which attests to not very significant fluctuations relative to the market. As returns on the market increase, returns on owning ING Bank are expected to decrease at a much lower rate. During the bear market, ING Bank is likely to outperform the market. At this point, ING Bank lski has a negative expected return of -0.26%. Please make sure to check out ING Bank's skewness, and the relationship between the treynor ratio and rate of daily change , to decide if ING Bank lski performance from the past will be repeated in the future.
Auto-correlation | -0.25 |
Weak reverse predictability
ING Bank lski has weak reverse predictability. Overlapping area represents the amount of predictability between ING Bank time series from 10th of December 2022 to 5th of December 2023 and 5th of December 2023 to 29th of November 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 Bank lski price movement. The serial correlation of -0.25 indicates that over 25.0% of current ING Bank price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.25 | |
| Spearman Rank Test | -0.09 | |
| Residual Average | 0.0 | |
| Price Variance | 664.35 |
ING Bank lski lagged returns against current returns
Autocorrelation, which is ING Bank 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 Bank's stock expected returns. We can calculate the autocorrelation of ING Bank returns to help us make a trade decision. For example, suppose you find that ING Bank 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 Bank 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 Bank stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if ING Bank stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in ING Bank stock over time.
Current vs Lagged Prices |
| Timeline |
ING Bank Lagged Returns
When evaluating ING Bank's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of ING Bank stock have on its future price. ING Bank 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 Bank autocorrelation shows the relationship between ING Bank stock current value and its past values and can show if there is a momentum factor associated with investing in ING Bank lski.
Regressed Prices |
| Timeline |
Pair Trading with ING Bank
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 Bank 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 Bank will appreciate offsetting losses from the drop in the long position's value.Moving together with ING Stock
Moving against ING Stock
The ability to find closely correlated positions to ING Bank 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 Bank 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 Bank - 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 Bank lski to buy it.
The correlation of ING Bank 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 Bank moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if ING Bank lski 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 Bank 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.Additional Tools for ING Stock Analysis
When running ING Bank's price analysis, check to measure ING Bank'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 Bank is operating at the current time. Most of ING Bank's value examination focuses on studying past and present price action to predict the probability of ING Bank'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 Bank's price. Additionally, you may evaluate how the addition of ING Bank to your portfolios can decrease your overall portfolio volatility.