SPDR ICE Correlations

ZPR6 Etf   29.04  0.01  0.03%   
The current 90-days correlation between SPDR ICE BofA and UBS Fund Solutions is 0.17 (i.e., Average diversification). The correlation of SPDR ICE 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.

SPDR ICE Correlation With Market

Average diversification

The correlation between SPDR ICE BofA and DJI is 0.11 (i.e., Average diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding SPDR ICE BofA and DJI in the same portfolio, assuming nothing else is changed.
  
The ability to find closely correlated positions to SPDR ICE could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace SPDR ICE 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 SPDR ICE - 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 SPDR ICE BofA to buy it.

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   
JPMCRM
CRMT
XOMMETA
XOMCRM
CRMMETA
JPMF
  
High negative correlations   
MRKCRM
MRKJPM
MRKT
JPMA
XOMMRK
MRKMETA

SPDR ICE Competition Risk-Adjusted Indicators

There is a big difference between SPDR Etf performing well and SPDR ICE 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 SPDR ICE'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  1.06  0.02 (0.01) 0.15  1.41 
 2.62 
 8.02 
MSFT  0.88 (0.08)(0.07) 0.01  1.51 
 2.09 
 8.19 
UBER  1.62 (0.12)(0.05) 0.00  2.25 
 2.69 
 20.10 
F  1.41 (0.13)(0.03) 0.03  2.20 
 2.53 
 11.21 
T  0.92  0.26  0.13 (10.00) 0.86 
 2.56 
 6.47 
A  1.14 (0.13) 0.00 (0.12) 0.00 
 2.29 
 9.02 
CRM  1.28  0.26  0.21  0.35  0.91 
 3.18 
 9.09 
JPM  1.12  0.00  0.06  0.12  1.44 
 2.05 
 15.87 
MRK  0.88 (0.24) 0.00 (0.81) 0.00 
 2.00 
 4.89 
XOM  1.03  0.00 (0.04) 0.12  1.25 
 2.14 
 5.78 

SPDR ICE 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 SPDR ICE etf to make a market-neutral strategy. Peer analysis of SPDR ICE could also be used in its relative valuation, which is a method of valuing SPDR ICE by comparing valuation metrics with similar companies.
 Risk & Return  Correlation