Allianz SE (Germany) Market Value

ALV Stock   294.60  2.30  0.77%   
Allianz SE's market value is the price at which a share of Allianz SE trades on a public exchange. It measures the collective expectations of Allianz SE VNA investors about its performance. Allianz SE is selling for under 294.60 as of the 23rd of December 2024; that is 0.77% down since the beginning of the trading day. The stock's last reported lowest price was 291.1.
With this module, you can estimate the performance of a buy and hold strategy of Allianz SE VNA and determine expected loss or profit from investing in Allianz SE over a given investment horizon. Check out Allianz SE Correlation, Allianz SE Volatility and Allianz SE Alpha and Beta module to complement your research on Allianz SE.
Symbol

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

Allianz SE '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 Allianz SE'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 Allianz SE.
0.00
11/23/2024
No Change 0.00  0.0 
In 30 days
12/23/2024
0.00
If you would invest  0.00  in Allianz SE on November 23, 2024 and sell it all today you would earn a total of 0.00 from holding Allianz SE VNA or generate 0.0% return on investment in Allianz SE over 30 days. Allianz SE is related to or competes with Berkshire Hathaway, AXA SA, AXA SA, Assicurazioni Generali, Hartford Financial, and Swiss Life. More

Allianz SE 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 Allianz SE'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 Allianz SE VNA upside and downside potential and time the market with a certain degree of confidence.

Allianz SE Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for Allianz SE's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Allianz SE's standard deviation. In reality, there are many statistical measures that can use Allianz SE historical prices to predict the future Allianz SE's volatility.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Allianz SE'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
293.78294.60295.42
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Intrinsic
Valuation
LowRealHigh
293.36294.18295.00
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Allianz SE VNA Backtested Returns

Allianz SE VNA secures Sharpe Ratio (or Efficiency) of -0.003, which signifies that the company had a -0.003% return per unit of risk over the last 3 months. Allianz SE VNA exposes twenty-nine different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Allianz SE's Downside Deviation of 0.8732, mean deviation of 0.68, and Risk Adjusted Performance of 0.0175 to double-check the risk estimate we provide. The firm shows a Beta (market volatility) of 0.002, which signifies not very significant fluctuations relative to the market. As returns on the market increase, Allianz SE's returns are expected to increase less than the market. However, during the bear market, the loss of holding Allianz SE is expected to be smaller as well. At this point, Allianz SE VNA has a negative expected return of -0.0024%. Please make sure to confirm Allianz SE's downside variance, and the relationship between the sortino ratio and accumulation distribution , to decide if Allianz SE VNA performance from the past will be repeated at some point in the near future.

Auto-correlation

    
  -0.69  

Very good reverse predictability

Allianz SE VNA has very good reverse predictability. Overlapping area represents the amount of predictability between Allianz SE time series from 23rd of November 2024 to 8th of December 2024 and 8th of December 2024 to 23rd of December 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 Allianz SE VNA price movement. The serial correlation of -0.69 indicates that around 69.0% of current Allianz SE price fluctuation can be explain by its past prices.
Correlation Coefficient-0.69
Spearman Rank Test-0.36
Residual Average0.0
Price Variance5.3

Allianz SE VNA lagged returns against current returns

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

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

Allianz SE Lagged Returns

When evaluating Allianz SE's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Allianz SE stock have on its future price. Allianz SE 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, Allianz SE autocorrelation shows the relationship between Allianz SE stock current value and its past values and can show if there is a momentum factor associated with investing in Allianz SE VNA.
   Regressed Prices   
       Timeline  

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Additional Tools for Allianz Stock Analysis

When running Allianz SE's price analysis, check to measure Allianz SE'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 Allianz SE is operating at the current time. Most of Allianz SE's value examination focuses on studying past and present price action to predict the probability of Allianz SE's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Allianz SE's price. Additionally, you may evaluate how the addition of Allianz SE to your portfolios can decrease your overall portfolio volatility.