Aalberts Nv Stock Market Value

AALBF Stock  USD 46.60  2.08  4.27%   
Aalberts' market value is the price at which a share of Aalberts trades on a public exchange. It measures the collective expectations of Aalberts NV investors about its performance. Aalberts is trading at 46.60 as of the 19th of April 2024. This is a -4.27 percent decrease since the beginning of the trading day. The stock's lowest day price was 46.6.
With this module, you can estimate the performance of a buy and hold strategy of Aalberts NV and determine expected loss or profit from investing in Aalberts over a given investment horizon. Check out Aalberts Correlation, Aalberts Volatility and Aalberts Alpha and Beta module to complement your research on Aalberts.
Symbol

Please note, there is a significant difference between Aalberts' value and its price as these two are different measures arrived at by different means. Investors typically determine if Aalberts is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Aalberts' 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.

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.
0.00
04/25/2023
No Change 0.00  0.0 
In 11 months and 27 days
04/19/2024
0.00
If you would invest  0.00  in Aalberts on April 25, 2023 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 360 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.

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.
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.
Hype
Prediction
LowEstimatedHigh
44.5146.6048.69
Details
Intrinsic
Valuation
LowRealHigh
41.9453.3155.40
Details
Naive
Forecast
LowNextHigh
45.0047.0949.17
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
37.1645.1253.08
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Aalberts. Your research has to be compared to or analyzed against Aalberts' peers to derive any actionable benefits. When done correctly, Aalberts' competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in Aalberts NV.

Aalberts NV Backtested Returns

Aalberts appears to be very steady, given 3 months investment horizon. Aalberts NV secures Sharpe Ratio (or Efficiency) of 0.16, which signifies that the company had a 0.16% return per unit of risk over the last 3 months. We have found twenty-two technical indicators for Aalberts NV, which you can use to evaluate the volatility of the firm. Please makes use of Aalberts' Standard Deviation of 2.02, mean deviation of 0.814, and Risk Adjusted Performance of 0.1029 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 12. The firm shows a Beta (market volatility) of 0.18, 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' total risk alpha, daily balance of power, relative strength index, as well as the relationship between the potential upside and day typical price , to make a quick decision on whether Aalberts' price patterns will revert.

Auto-correlation

    
  -0.76  

Almost perfect reverse predictability

Aalberts NV has almost perfect reverse predictability. Overlapping area represents the amount of predictability between Aalberts time series from 25th of April 2023 to 22nd of October 2023 and 22nd of October 2023 to 19th 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 -0.76 indicates that around 76.0% of current Aalberts price fluctuation can be explain by its past prices.
Correlation Coefficient-0.76
Spearman Rank Test-0.5
Residual Average0.0
Price Variance28.33

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

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  0.78SBGSY Schneider Electric Earnings Call This WeekPairCorr

Moving against Aalberts Pink Sheet

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  0.68PTAIF PT Astra InternationalPairCorr
  0.51TLKMF Telkom Indonesia TbkPairCorr
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.
Pair CorrelationCorrelation Matching
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 ETFs module to find actively traded Exchange Traded Funds (ETF) from around the world.

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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.
A focus of Aalberts technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of Aalberts trading pattern rather than external drivers such as economic, fundamental, or social events. It is believed that price action tends to repeat itself due to investors' collective, patterned behavior. Hence technical analysis focuses on identifiable price trends and conditions. More Info...