Aroundtown Sa Stock Market Value

AANNF Stock  USD 2.15  0.31  16.85%   
Aroundtown's market value is the price at which a share of Aroundtown trades on a public exchange. It measures the collective expectations of Aroundtown SA investors about its performance. Aroundtown is trading at 2.15 as of the 28th of March 2024. This is a 16.85 percent up since the beginning of the trading day. The stock's lowest day price was 2.11.
With this module, you can estimate the performance of a buy and hold strategy of Aroundtown SA and determine expected loss or profit from investing in Aroundtown over a given investment horizon. Check out Aroundtown Correlation, Aroundtown Volatility and Aroundtown Alpha and Beta module to complement your research on Aroundtown.
Symbol

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

Aroundtown '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 Aroundtown'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 Aroundtown.
0.00
02/27/2024
No Change 0.00  0.0 
In 31 days
03/28/2024
0.00
If you would invest  0.00  in Aroundtown on February 27, 2024 and sell it all today you would earn a total of 0.00 from holding Aroundtown SA or generate 0.0% return on investment in Aroundtown over 30 days. Aroundtown is related to or competes with CoStar, CBRE Group, Ke HoldingsInc, and Palantir TechnologiesInc. Aroundtown SA, together with its subsidiaries, operates as a real estate company in Germany, the Netherlands, the United... More

Aroundtown 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 Aroundtown'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 Aroundtown SA upside and downside potential and time the market with a certain degree of confidence.

Aroundtown Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for Aroundtown's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Aroundtown's standard deviation. In reality, there are many statistical measures that can use Aroundtown historical prices to predict the future Aroundtown's volatility.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Aroundtown'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.
Hype
Prediction
LowEstimatedHigh
0.112.156.63
Details
Intrinsic
Valuation
LowRealHigh
0.101.906.38
Details
Naive
Forecast
LowNextHigh
0.042.216.69
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Aroundtown. Your research has to be compared to or analyzed against Aroundtown's peers to derive any actionable benefits. When done correctly, Aroundtown's 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 Aroundtown SA.

Aroundtown SA Backtested Returns

Aroundtown SA secures Sharpe Ratio (or Efficiency) of -0.0257, which signifies that the company had a -0.0257% return per unit of risk over the last 3 months. Aroundtown SA exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Aroundtown's Standard Deviation of 3.75, mean deviation of 1.46, and Risk Adjusted Performance of (0.05) to double-check the risk estimate we provide. The firm shows a Beta (market volatility) of -0.8, which signifies possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning Aroundtown are expected to decrease at a much lower rate. During the bear market, Aroundtown is likely to outperform the market. Aroundtown SA has an expected return of -0.12%. Please make sure to confirm Aroundtown SA accumulation distribution, and the relationship between the value at risk and day typical price , to decide if Aroundtown SA performance from the past will be repeated at some point in the near future.

Auto-correlation

    
  -0.32  

Poor reverse predictability

Aroundtown SA has poor reverse predictability. Overlapping area represents the amount of predictability between Aroundtown time series from 27th of February 2024 to 13th of March 2024 and 13th of March 2024 to 28th of March 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 Aroundtown SA price movement. The serial correlation of -0.32 indicates that nearly 32.0% of current Aroundtown price fluctuation can be explain by its past prices.
Correlation Coefficient-0.32
Spearman Rank Test0.32
Residual Average0.0
Price Variance0.02

Aroundtown SA lagged returns against current returns

Autocorrelation, which is Aroundtown 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 Aroundtown's pink sheet expected returns. We can calculate the autocorrelation of Aroundtown returns to help us make a trade decision. For example, suppose you find that Aroundtown 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  

Aroundtown 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 Aroundtown pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Aroundtown pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Aroundtown pink sheet over time.
   Current vs Lagged Prices   
       Timeline  

Aroundtown Lagged Returns

When evaluating Aroundtown's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Aroundtown pink sheet have on its future price. Aroundtown 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, Aroundtown autocorrelation shows the relationship between Aroundtown pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Aroundtown SA.
   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 Aroundtown 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, Aroundtown's short interest history, or implied volatility extrapolated from Aroundtown options trading.

Pair Trading with Aroundtown

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 Aroundtown 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 Aroundtown will appreciate offsetting losses from the drop in the long position's value.

Moving together with Aroundtown Pink Sheet

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Moving against Aroundtown Pink Sheet

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  0.8VTAGY Vantage Towers AGPairCorr
The ability to find closely correlated positions to Aroundtown could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Aroundtown 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 Aroundtown - 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 Aroundtown SA to buy it.
The correlation of Aroundtown 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 Aroundtown moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Aroundtown SA 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 Aroundtown 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 Aroundtown Correlation, Aroundtown Volatility and Aroundtown Alpha and Beta module to complement your research on Aroundtown.
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When running Aroundtown's price analysis, check to measure Aroundtown'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 Aroundtown is operating at the current time. Most of Aroundtown's value examination focuses on studying past and present price action to predict the probability of Aroundtown's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Aroundtown's price. Additionally, you may evaluate how the addition of Aroundtown to your portfolios can decrease your overall portfolio volatility.
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Aroundtown 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 Aroundtown technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of Aroundtown 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...