LifeX 2030 Correlations

BCKT Etf   45.85  0.03  0.07%   
The current 90-days correlation between LifeX 2030 Income and SPDR Bloomberg 1 3 is 0.08 (i.e., Significant diversification). The correlation of LifeX 2030 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. If the correlation is 0, the equities are not correlated; they are entirely random.

LifeX 2030 Correlation With Market

Very weak diversification

The correlation between LifeX 2030 Income and DJI is 0.59 (i.e., Very weak diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding LifeX 2030 Income and DJI in the same portfolio, assuming nothing else is changed.
Check out Trending Equities to better understand how to build diversified portfolios, which includes a position in LifeX 2030 Income. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as various price indices.

Moving together with LifeX Etf

  0.67BND Vanguard Total Bond Sell-off TrendPairCorr
  0.62VTV Vanguard Value IndexPairCorr
  0.61VEA Vanguard FTSE DevelopedPairCorr
  0.61VB Vanguard Small CapPairCorr
  0.63BA Boeing Sell-off TrendPairCorr

Moving against LifeX Etf

  0.69VIXM ProShares VIX Mid Low VolatilityPairCorr
  0.69VXZ iPath Series B Low VolatilityPairCorr
  0.65VXX iPath Series B Low VolatilityPairCorr
  0.65VIXY ProShares VIX Short Low VolatilityPairCorr
  0.4HPQ HP IncPairCorr
  0.32MSFT MicrosoftPairCorr
  0.31MMM 3M CompanyPairCorr

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

UBERMSFT
MRKF
JPMCRM
XOMMRK
XOMF
AUBER
  

High negative correlations

MRKUBER
MRKMSFT
XOMMSFT
XOMA
FMSFT
XOMUBER

LifeX 2030 Competition Risk-Adjusted Indicators

There is a big difference between LifeX Etf performing well and LifeX 2030 ETF 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 LifeX 2030'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.
Mean DeviationJensen AlphaSortino RatioTreynor RatioSemi DeviationExpected ShortfallPotential UpsideValue @RiskMaximum Drawdown
META  1.61 (0.08) 0.00 (0.04) 0.00 
 3.43 
 11.42 
MSFT  1.23 (0.32) 0.00 (1.41) 0.00 
 1.85 
 13.28 
UBER  1.46 (0.30) 0.00 (0.36) 0.00 
 2.46 
 10.23 
F  1.24  0.05  0.04  0.08  1.23 
 3.38 
 7.16 
T  0.96  0.05  0.02  0.23  1.04 
 1.85 
 3.77 
A  1.19 (0.18) 0.00 (0.10) 0.00 
 2.90 
 7.85 
CRM  1.54 (0.30) 0.00 (0.25) 0.00 
 2.94 
 12.37 
JPM  1.09 (0.03)(0.01) 0.01  1.67 
 1.88 
 7.38 
MRK  1.28  0.33  0.24  0.50  1.13 
 3.59 
 8.09 
XOM  1.08  0.31  0.23  3.83  0.95 
 2.38 
 5.82