Aalberts Nv Stock Market Value
| AALBF Stock | USD 45.46 1.14 2.45% |
| Symbol | Aalberts |
Aalberts '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 Aalberts' 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 Aalberts.
| 03/23/2024 |
| 04/22/2024 |
If you would invest 0.00 in Aalberts on March 23, 2024 and sell it all today you would earn a total of 0.00 from holding Aalberts NV or generate 0.0% return on investment in Aalberts over 30 days. Aalberts is related to or competes with GE Aerospace, Eaton PLC, Illinois Tool, Parker Hannifin, and Emerson Electric. The company operates in two segments Building Technology and Industrial Technology More
Aalberts 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 Aalberts' 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 Aalberts NV upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.5 | |||
| Information Ratio | 0.0935 | |||
| Maximum Drawdown | 18.88 | |||
| Value At Risk | (1.30) | |||
| Potential Upside | 2.59 |
Aalberts Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Aalberts' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Aalberts' standard deviation. In reality, there are many statistical measures that can use Aalberts historical prices to predict the future Aalberts' volatility.| Risk Adjusted Performance | 0.0897 | |||
| Jensen Alpha | 0.2565 | |||
| Total Risk Alpha | 0.0145 | |||
| Sortino Ratio | 0.0765 | |||
| Treynor Ratio | 1.92 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Aalberts' 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.
Aalberts NV Backtested Returns
Aalberts appears to be very steady, given 3 months investment horizon. Aalberts NV secures Sharpe Ratio (or Efficiency) of 0.14, which signifies that the company had a 0.14% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Aalberts NV, which you can use to evaluate the volatility of the firm. Please makes use of Aalberts' Downside Deviation of 2.5, risk adjusted performance of 0.0897, and Mean Deviation of 0.8252 to double-check if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Aalberts holds a performance score of 10. The firm shows a Beta (market volatility) of 0.14, which signifies not very significant fluctuations relative to the market. As returns on the market increase, Aalberts' returns are expected to increase less than the market. However, during the bear market, the loss of holding Aalberts is expected to be smaller as well. Please check Aalberts' potential upside, daily balance of power, and the relationship between the treynor ratio and expected short fall , to make a quick decision on whether Aalberts' price patterns will revert.
Auto-correlation | -0.9 |
Excellent reverse predictability
Aalberts NV has excellent reverse predictability. Overlapping area represents the amount of predictability between Aalberts time series from 23rd of March 2024 to 7th of April 2024 and 7th of April 2024 to 22nd 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 Aalberts NV price movement. The serial correlation of -0.9 indicates that approximately 90.0% of current Aalberts price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.9 | |
| Spearman Rank Test | -0.82 | |
| Residual Average | 0.0 | |
| Price Variance | 1.92 |
Aalberts NV lagged returns against current returns
Autocorrelation, which is Aalberts 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 Aalberts' pink sheet expected returns. We can calculate the autocorrelation of Aalberts returns to help us make a trade decision. For example, suppose you find that Aalberts 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 |
Aalberts 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 Aalberts pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Aalberts pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Aalberts pink sheet over time.
Current vs Lagged Prices |
| Timeline |
Aalberts Lagged Returns
When evaluating Aalberts' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Aalberts pink sheet have on its future price. Aalberts 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, Aalberts autocorrelation shows the relationship between Aalberts pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Aalberts NV.
Regressed Prices |
| Timeline |
Pair Trading with Aalberts
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 Aalberts 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 Aalberts will appreciate offsetting losses from the drop in the long position's value.Moving together with Aalberts Pink Sheet
| 0.92 | GE | GE Aerospace Earnings Call Tomorrow | PairCorr |
| 0.73 | SIEGY | Siemens AG ADR | PairCorr |
| 0.73 | SMAWF | Siemens AG Class | PairCorr |
| 0.9 | ETN | Eaton PLC Earnings Call Next Week | PairCorr |
| 0.78 | SBGSY | Schneider Electric Earnings Call This Week | PairCorr |
Moving against Aalberts Pink Sheet
| 0.77 | SWZNF | Schweizerische Nationalbank | PairCorr |
The ability to find closely correlated positions to Aalberts could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Aalberts 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 Aalberts - 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 Aalberts NV to buy it.
The correlation of Aalberts 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 Aalberts moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Aalberts NV 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 Aalberts 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.Check out Aalberts Correlation, Aalberts Volatility and Aalberts Alpha and Beta module to complement your research on Aalberts. Note that the Aalberts NV information on this page should be used as a complementary analysis to other Aalberts' statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Sign In To Macroaxis module to sign in to explore Macroaxis' wealth optimization platform and fintech modules.
Complementary Tools for Aalberts Pink Sheet analysis
When running Aalberts' price analysis, check to measure Aalberts' 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 Aalberts is operating at the current time. Most of Aalberts' value examination focuses on studying past and present price action to predict the probability of Aalberts' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Aalberts' price. Additionally, you may evaluate how the addition of Aalberts to your portfolios can decrease your overall portfolio volatility.
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Aalberts 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.