White Mountains Correlations

WTM Stock  USD 2,188  6.06  0.28%   
The current 90-days correlation between White Mountains Insurance and The Hanover Insurance is 0.46 (i.e., Very weak 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

Poor diversification

The correlation between White Mountains Insurance and DJI is 0.79 (i.e., Poor 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 persons.

Moving together with White Stock

  0.79CB ChubbPairCorr
  0.82ANK Sompo HoldingsPairCorr
  0.64TSU Trisura GroupPairCorr
  0.65CNA CNA FinancialPairCorr
  0.61LRE Lancashire HoldingsPairCorr

Moving against White Stock

  0.743GU nib holdings limitedPairCorr
  0.74SU4 Suncorp Group Limited Earnings Call This WeekPairCorr
  0.73AII American IntegrityPairCorr
  0.61WR1 W R BerkleyPairCorr
  0.61FGPN Ambac Financial GroupPairCorr
  0.61PIR Peoples InsurancePairCorr
  0.56WRB W R BerkleyPairCorr
  0.53ADM Admiral Group PLCPairCorr
  0.39UVE Universal Insurance Earnings Call This WeekPairCorr

Related Correlations Analysis


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

SIGICB
RLITHG
THGDGICA
RLIDGICA
HMNTHG
HMNPGR
  

High negative correlations

HMNWRB-PE
WRB-PEPGR
WRB-PEDGICA
WRB-PERLI
WRB-PETHG
WRB-PENODK

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  0.92 (0.05) 0.00 (0.36) 0.00 
 2.39 
 8.84 
DGICA  1.04 (0.06) 0.00 (0.22) 0.00 
 1.56 
 4.99 
DGICB  2.86  0.02  0.01  0.08  3.62 
 5.61 
 25.86 
THG  0.87 (0.08) 0.00 (1.35) 0.00 
 1.66 
 5.99 
RLI  1.14  0.01 (0.04) 0.00  1.51 
 2.26 
 5.63 
CB  0.78  0.17  0.12  1.26  0.73 
 1.65 
 6.58 
PGR  1.06 (0.06) 0.00 (0.57) 0.00 
 2.24 
 8.71 
WRB-PE  0.37  0.06  0.02  0.41  0.29 
 0.68 
 2.02 
SIGI  1.04  0.13  0.09  0.36  0.94 
 2.56 
 5.53 
HMN  1.01 (0.10) 0.00  1.17  0.00 
 1.59 
 6.62