Banque Nationale (Belgium) Market Value
BNB Stock | EUR 402.00 1.00 0.25% |
Symbol | Banque |
Banque Nationale '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 Banque Nationale'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 Banque Nationale.
07/05/2023 |
| 11/26/2024 |
If you would invest 0.00 in Banque Nationale on July 5, 2023 and sell it all today you would earn a total of 0.00 from holding Banque nationale de or generate 0.0% return on investment in Banque Nationale over 510 days. Banque Nationale is related to or competes with GIMV NV, Sofina Socit, Groep Brussel, Tubize Fin, and NV Bekaert. Banque nationale de Belgique Socit anonyme operates as the central bank of Belgium More
Banque Nationale 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 Banque Nationale'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 Banque nationale de upside and downside potential and time the market with a certain degree of confidence.
Information Ratio | (0.25) | |||
Maximum Drawdown | 5.31 | |||
Value At Risk | (1.39) | |||
Potential Upside | 1.18 |
Banque Nationale Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Banque Nationale's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Banque Nationale's standard deviation. In reality, there are many statistical measures that can use Banque Nationale historical prices to predict the future Banque Nationale's volatility.Risk Adjusted Performance | (0.07) | |||
Jensen Alpha | (0.10) | |||
Total Risk Alpha | (0.23) | |||
Treynor Ratio | (1.52) |
Banque nationale Backtested Returns
Banque nationale secures Sharpe Ratio (or Efficiency) of -0.12, which signifies that the company had a -0.12% return per unit of risk over the last 3 months. Banque nationale de exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Banque Nationale's Risk Adjusted Performance of (0.07), mean deviation of 0.6232, and Standard Deviation of 0.8497 to double-check the risk estimate we provide. The firm shows a Beta (market volatility) of 0.0619, which signifies not very significant fluctuations relative to the market. As returns on the market increase, Banque Nationale's returns are expected to increase less than the market. However, during the bear market, the loss of holding Banque Nationale is expected to be smaller as well. At this point, Banque nationale has a negative expected return of -0.1%. Please make sure to confirm Banque Nationale's total risk alpha, maximum drawdown, potential upside, as well as the relationship between the treynor ratio and value at risk , to decide if Banque nationale performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.56 |
Modest predictability
Banque nationale de has modest predictability. Overlapping area represents the amount of predictability between Banque Nationale time series from 5th of July 2023 to 16th of March 2024 and 16th of March 2024 to 26th 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 Banque nationale price movement. The serial correlation of 0.56 indicates that roughly 56.0% of current Banque Nationale price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.56 | |
Spearman Rank Test | 0.46 | |
Residual Average | 0.0 | |
Price Variance | 584.48 |
Banque nationale lagged returns against current returns
Autocorrelation, which is Banque Nationale 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 Banque Nationale's stock expected returns. We can calculate the autocorrelation of Banque Nationale returns to help us make a trade decision. For example, suppose you find that Banque Nationale 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 |
Banque Nationale 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 Banque Nationale stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Banque Nationale stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Banque Nationale stock over time.
Current vs Lagged Prices |
Timeline |
Banque Nationale Lagged Returns
When evaluating Banque Nationale's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Banque Nationale stock have on its future price. Banque Nationale 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, Banque Nationale autocorrelation shows the relationship between Banque Nationale stock current value and its past values and can show if there is a momentum factor associated with investing in Banque nationale de.
Regressed Prices |
Timeline |
Pair Trading with Banque Nationale
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 Banque Nationale 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 Banque Nationale will appreciate offsetting losses from the drop in the long position's value.Moving against Banque Stock
0.82 | ARGX | Argen X | PairCorr |
0.81 | CYAD | Celyad SA | PairCorr |
0.65 | NYR | Nyrstar NV | PairCorr |
0.47 | TUB | Tubize Fin | PairCorr |
0.44 | NYXH | Nyxoah | PairCorr |
The ability to find closely correlated positions to Banque Nationale could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Banque Nationale 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 Banque Nationale - 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 Banque nationale de to buy it.
The correlation of Banque Nationale 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 Banque Nationale moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Banque nationale 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 Banque Nationale 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 Banque Stock Analysis
When running Banque Nationale's price analysis, check to measure Banque Nationale'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 Banque Nationale is operating at the current time. Most of Banque Nationale's value examination focuses on studying past and present price action to predict the probability of Banque Nationale's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Banque Nationale's price. Additionally, you may evaluate how the addition of Banque Nationale to your portfolios can decrease your overall portfolio volatility.