White Mountains Correlations

WTM Stock  USD 1,762  22.01  1.23%   
The current 90-days correlation between White Mountains Insurance and The Hanover Insurance is 0.76 (i.e., Poor diversification). A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as White Mountains moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if White Mountains Insurance moves in either direction, the perfectly negatively correlated security will move in the opposite direction.

White Mountains Correlation With Market

Very weak diversification

The correlation between White Mountains Insurance and DJI is 0.57 (i.e., Very weak diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding White Mountains Insurance and DJI in the same portfolio, assuming nothing else is changed.
Check out Your Current Watchlist to better understand how to build diversified portfolios, which includes a position in White Mountains Insurance. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in estimate.

Moving together with White Stock

  0.79CB Chubb Sell-off TrendPairCorr
  0.89AIZ AssurantPairCorr
  0.76ALL AllstatePairCorr
  0.8CNA CNA FinancialPairCorr
  0.61ORI Old Republic Interna Sell-off TrendPairCorr
  0.66STC Stewart InformationPairCorr
  0.68THG Hanover InsurancePairCorr
  0.8GBLI Global Indemnity PLCPairCorr
  0.88KMPR KemperPairCorr
  0.78SIGIP Selective InsurancePairCorr
  0.69NODK NI HoldingsPairCorr
  0.73ALL-PI AllstatePairCorr
  0.74ALL-PH AllstatePairCorr
  0.65ACIC American Coastal InsPairCorr

Moving against White Stock

  0.34PRA ProAssurancePairCorr
  0.37PLMR Palomar HoldingsPairCorr
  0.36HRTG Heritage Insurance HldgsPairCorr

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   
HMNTHG
CBTHG
HMNDGICA
SIGIRLI
SIGICB
PGRCB
  
High negative correlations   
DGICBNODK
WRB-PEDGICB
DGICANODK
RLIDGICB
WRB-PEDGICA
SIGIDGICB

Risk-Adjusted Indicators

There is a big difference between White Stock performing well and White Mountains 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 White Mountains' 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.
Mean DeviationJensen AlphaSortino RatioTreynor RatioSemi DeviationExpected ShortfallPotential UpsideValue @RiskMaximum Drawdown
NODK  1.37 (0.22) 0.00 (0.41) 0.00 
 2.75 
 7.72 
DGICA  1.30  0.07  0.02  0.22  1.61 
 2.73 
 8.13 
DGICB  2.44  0.25  0.05  1.65  2.76 
 7.02 
 20.18 
THG  1.14  0.00 (0.01) 0.07  2.06 
 2.67 
 11.10 
RLI  1.13 (0.06) 0.00 (0.04) 0.00 
 1.74 
 8.37 
CB  1.05 (0.04)(0.04) 0.00  1.62 
 2.19 
 9.40 
PGR  1.40 (0.10) 0.00 (0.10) 0.00 
 2.66 
 12.89 
WRB-PE  0.54 (0.05) 0.00 (0.12) 0.00 
 1.14 
 4.52 
SIGI  1.20 (0.03)(0.03) 0.01  1.92 
 2.75 
 9.75 
HMN  1.14  0.03  0.00  0.13  1.28 
 2.33 
 6.15