SSgA SPDR Correlations

SXLB Etf   40.14  0.10  0.25%   
The current 90-days correlation between SSgA SPDR ETFs and iShares Euro Dividend is 0.08 (i.e., Significant diversification). The correlation of SSgA SPDR 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.

SSgA SPDR Correlation With Market

Modest diversification

The correlation between SSgA SPDR ETFs and DJI is 0.25 (i.e., Modest diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding SSgA SPDR ETFs and DJI in the same portfolio, assuming nothing else is changed.
  
The ability to find closely correlated positions to SSgA SPDR could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace SSgA SPDR 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 SSgA SPDR - 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 SSgA SPDR ETFs to buy it.

Moving against SSgA Etf

  0.45VTRX VanEck TRON ETNPairCorr
  0.35CNYB iShares China CNYPairCorr

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   
CRMT
JPMCRM
JPMT
MSFTMETA
XOMUBER
XOMF
  
High negative correlations   
MRKJPM
MRKCRM
CRMUBER
MRKT
TUBER
XOMMSFT

SSgA SPDR Competition Risk-Adjusted Indicators

There is a big difference between SSgA Etf performing well and SSgA SPDR 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 SSgA SPDR'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  1.21  0.10  0.05  0.23  1.41 
 2.62 
 7.43 
MSFT  0.86  0.00 (0.01) 0.03  1.61 
 1.78 
 8.14 
UBER  1.72 (0.25) 0.00 (2.15) 0.00 
 2.67 
 20.41 
F  1.45 (0.15) 0.00 (0.07) 0.00 
 2.53 
 11.21 
T  0.95  0.10  0.06  0.42  1.12 
 1.93 
 7.95 
A  1.23 (0.05) 0.00 (0.07) 0.00 
 2.71 
 9.02 
CRM  1.49  0.40  0.22 (11.15) 1.31 
 3.18 
 14.80 
JPM  1.06  0.16  0.15  0.13  1.09 
 1.99 
 15.87 
MRK  0.98 (0.25) 0.00 (1.14) 0.00 
 1.72 
 5.17 
XOM  0.90 (0.12) 0.00 (0.76) 0.00 
 1.83 
 6.06 

SSgA SPDR Related Equities

One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with SSgA SPDR etf to make a market-neutral strategy. Peer analysis of SSgA SPDR could also be used in its relative valuation, which is a method of valuing SSgA SPDR by comparing valuation metrics with similar companies.
 Risk & Return  Correlation