Münchener Rückversicherung Correlations

MURGF Stock  USD 525.83  9.26  1.79%   
The current 90-days correlation between Münchener Rückversicherung and Brookfield Reinsurance is 0.03 (i.e., Significant diversification). The correlation of Münchener Rückversicherung 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 correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.

Münchener Rückversicherung Correlation With Market

Average diversification

The correlation between Mnchener Rckversicherungs Gese and DJI is 0.1 (i.e., Average diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Mnchener Rckversicherungs Gese and DJI in the same portfolio, assuming nothing else is changed.
  
The ability to find closely correlated positions to Münchener Rückversicherung could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Münchener Rückversicherung 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 Münchener Rückversicherung - 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 Mnchener Rckversicherungs Gesellschaft Aktiengesellschaft to buy it.

Moving together with Münchener Pink Sheet

  0.95MURGY Muenchener Rueckver GesPairCorr
  0.92HVRRY Hannover RePairCorr
  0.69RE Colas SAPairCorr

Moving against Münchener Pink Sheet

  0.74HVRRF Hannover Rck SEPairCorr
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  0.37RGA Reinsurance GroupPairCorr
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  0.6OPFI OppFi IncPairCorr
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  0.45JXN-PA Jackson FinancialPairCorr
  0.31AGFY Agrify Corp TrendingPairCorr

Related Correlations Analysis

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Correlation Matchups

Over a given time period, the two securities move together when the Correlation Coefficient is positive. Conversely, the two assets move in opposite directions when the Correlation Coefficient is negative. Determining your positions' relationship to each other is valuable for analyzing and projecting your portfolio's future expected return and risk.
High positive correlations   
RGAGLRE
SPNTRGA
SPNTGLRE
RNR-PGRE
RNRBNRE
GLREBNRE
  
High negative correlations   
REBNRE
GLRERE
RNR-PGRGA
RGARE
RNR-PGSPNT
RNR-PGBNRE

Risk-Adjusted Indicators

There is a big difference between Münchener Pink Sheet performing well and Münchener Rückversicherung Company doing well as a business compared to the competition. There are so many exceptions to the norm that investors cannot definitively determine what's good or bad unless they analyze Münchener Rückversicherung's multiple risk-adjusted performance indicators across the competitive landscape. These indicators are quantitative in nature and help investors forecast volatility and risk-adjusted expected returns across various positions.

Be your own money manager

Our tools can tell you how much better you can do entering a position in Münchener Rückversicherung without increasing your portfolio risk or giving up the expected return. As an individual investor, you need to find a reliable way to track all your investment portfolios. However, your requirements will often be based on how much of the process you decide to do yourself. In addition to allowing all investors analytical transparency into all their portfolios, our tools can evaluate risk-adjusted returns of your individual positions relative to your overall portfolio.

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Münchener Rückversicherung Corporate Management

Joachim WenningMember of the Management BoardProfile
Markus RiessMember of the Management BoardProfile
CFA CFAChief BoardProfile
Soobum LeeHead OperationProfile
Achim KassowMember BoardProfile
Thomas BlunckMember of the Management Board, Member of Group Committee and Member of Reinsurance CommitteeProfile