Mnchener Rckversicherungs Gesellschaft Aktiengesellschaft Stock Market Value

MURGF Stock  USD 449.25  12.34  2.82%   
Mnchener Rckversicherungs' market value is the price at which a share of Mnchener Rckversicherungs trades on a public exchange. It measures the collective expectations of Mnchener Rckversicherungs Gesellschaft Aktiengesellschaft investors about its performance. Mnchener Rckversicherungs is trading at 449.25 as of the 19th of April 2024. This is a 2.82 percent up since the beginning of the trading day. The stock's lowest day price was 449.25.
With this module, you can estimate the performance of a buy and hold strategy of Mnchener Rckversicherungs Gesellschaft Aktiengesellschaft and determine expected loss or profit from investing in Mnchener Rckversicherungs over a given investment horizon. Check out Mnchener Rckversicherungs Correlation, Mnchener Rckversicherungs Volatility and Mnchener Rckversicherungs Alpha and Beta module to complement your research on Mnchener Rckversicherungs.
Symbol

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

Mnchener Rckversicherungs '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 Mnchener Rckversicherungs' 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 Mnchener Rckversicherungs.
0.00
03/20/2024
No Change 0.00  0.0 
In 30 days
04/19/2024
0.00
If you would invest  0.00  in Mnchener Rckversicherungs on March 20, 2024 and sell it all today you would earn a total of 0.00 from holding Mnchener Rckversicherungs Gesellschaft Aktiengesellschaft or generate 0.0% return on investment in Mnchener Rckversicherungs over 30 days. Mnchener Rckversicherungs is related to or competes with Swiss Re, SCOR PK, SiriusPoint, Maiden Holdings, Meta Platforms, Exxon, and Airship AI. Mnchener Rckversicherungs-Gesellschaft Aktiengesellschaft in Mnchen engages in the insurance and reinsurance businesses ... More

Mnchener Rckversicherungs 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 Mnchener Rckversicherungs' 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 Mnchener Rckversicherungs Gesellschaft Aktiengesellschaft upside and downside potential and time the market with a certain degree of confidence.

Mnchener Rckversicherungs Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for Mnchener Rckversicherungs' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Mnchener Rckversicherungs' standard deviation. In reality, there are many statistical measures that can use Mnchener Rckversicherungs historical prices to predict the future Mnchener Rckversicherungs' volatility.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Mnchener Rckversicherungs' 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
447.80449.25450.70
Details
Intrinsic
Valuation
LowRealHigh
404.33453.26454.72
Details
Naive
Forecast
LowNextHigh
440.52441.97443.42
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
433.50445.14456.77
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Mnchener Rckversicherungs. Your research has to be compared to or analyzed against Mnchener Rckversicherungs' peers to derive any actionable benefits. When done correctly, Mnchener Rckversicherungs' 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 Mnchener Rckversicherungs.

Mnchener Rckversicherungs Backtested Returns

We consider Mnchener Rckversicherungs very steady. Mnchener Rckversicherungs has Sharpe Ratio of 0.0602, which conveys that the firm had a 0.0602% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Mnchener Rckversicherungs, which you can use to evaluate the volatility of the firm. Please verify Mnchener Rckversicherungs' Risk Adjusted Performance of 0.0665, downside deviation of 1.89, and Mean Deviation of 1.1 to check out if the risk estimate we provide is consistent with the expected return of 0.0873%. Mnchener Rckversicherungs has a performance score of 4 on a scale of 0 to 100. The company secures a Beta (Market Risk) of 0.53, which conveys possible diversification benefits within a given portfolio. As returns on the market increase, Mnchener Rckversicherungs' returns are expected to increase less than the market. However, during the bear market, the loss of holding Mnchener Rckversicherungs is expected to be smaller as well. Mnchener Rckversicherungs right now secures a risk of 1.45%. Please verify Mnchener Rckversicherungs Gesellschaft Aktiengesellschaft information ratio, downside variance, day typical price, as well as the relationship between the treynor ratio and kurtosis , to decide if Mnchener Rckversicherungs Gesellschaft Aktiengesellschaft will be following its current price movements.

Auto-correlation

    
  -0.36  

Poor reverse predictability

Mnchener Rckversicherungs Gesellschaft Aktiengesellschaft has poor reverse predictability. Overlapping area represents the amount of predictability between Mnchener Rckversicherungs time series from 20th of March 2024 to 4th of April 2024 and 4th of April 2024 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 Mnchener Rckversicherungs price movement. The serial correlation of -0.36 indicates that just about 36.0% of current Mnchener Rckversicherungs price fluctuation can be explain by its past prices.
Correlation Coefficient-0.36
Spearman Rank Test-0.5
Residual Average0.0
Price Variance145.26

Mnchener Rckversicherungs lagged returns against current returns

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

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

Mnchener Rckversicherungs Lagged Returns

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

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Check out Mnchener Rckversicherungs Correlation, Mnchener Rckversicherungs Volatility and Mnchener Rckversicherungs Alpha and Beta module to complement your research on Mnchener Rckversicherungs.
Note that the Mnchener Rckversicherungs information on this page should be used as a complementary analysis to other Mnchener Rckversicherungs' 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 Commodity Directory module to find actively traded commodities issued by global exchanges.

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When running Mnchener Rckversicherungs' price analysis, check to measure Mnchener Rckversicherungs' 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 Mnchener Rckversicherungs is operating at the current time. Most of Mnchener Rckversicherungs' value examination focuses on studying past and present price action to predict the probability of Mnchener Rckversicherungs' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Mnchener Rckversicherungs' price. Additionally, you may evaluate how the addition of Mnchener Rckversicherungs to your portfolios can decrease your overall portfolio volatility.
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Mnchener Rckversicherungs 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 Mnchener Rckversicherungs technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of Mnchener Rckversicherungs 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...