Lyxor Fed Correlations

C101 Etf   96.64  0.20  0.21%   
The current 90-days correlation between Lyxor Fed Funds and Lyxor BofAML USD is -0.1 (i.e., Good diversification). The correlation of Lyxor Fed 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.

Lyxor Fed Correlation With Market

Good diversification

The correlation between Lyxor Fed Funds and DJI is -0.01 (i.e., Good diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Lyxor Fed Funds and DJI in the same portfolio, assuming nothing else is changed.
  
The ability to find closely correlated positions to Lyxor Fed could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Lyxor Fed 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 Lyxor Fed - 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 Lyxor Fed Funds to buy it.

Moving together with Lyxor Etf

  0.63XJSE Xtrackers IIPairCorr
  0.8XDJP Xtrackers Nikkei 225PairCorr
  0.78SXRZ iShares VII PLCPairCorr
  0.88VUSA Vanguard Funds PublicPairCorr
  0.79EXX7 iShares Nikkei 225PairCorr
  0.88SXR8 iShares Core SPPairCorr

Moving against Lyxor Etf

  0.57DBPE Xtrackers LevDAXPairCorr
  0.43GQ9 SPDR Gold SharesPairCorr

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   
JPMMETA
CRMMSFT
TUBER
CRMA
AMSFT
JPMA
  
High negative correlations   
MRKUBER
TMSFT
MRKMETA
CRMT
MRKT
MRKJPM

Lyxor Fed Competition Risk-Adjusted Indicators

There is a big difference between Lyxor Etf performing well and Lyxor Fed 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 Lyxor Fed'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  1.59  0.02  0.00 (0.05) 0.00 
 2.57 
 8.90 
MSFT  1.12 (0.15) 0.00 (0.28) 0.00 
 2.58 
 10.31 
UBER  1.88  0.41  0.19  0.74  2.06 
 4.72 
 12.75 
F  1.47  0.07  0.03  0.00  2.22 
 2.71 
 10.14 
T  1.04  0.26  0.16  0.40  1.61 
 1.90 
 11.66 
A  1.15 (0.15) 0.00 (0.23) 0.00 
 2.92 
 9.03 
CRM  1.38 (0.27) 0.00 (0.31) 0.00 
 2.72 
 8.88 
JPM  1.10  0.09  0.05  0.02  1.74 
 1.99 
 6.85 
MRK  1.17 (0.11) 0.00  1.52  0.00 
 2.07 
 11.58 
XOM  1.06  0.11  0.10  0.17  1.39 
 2.55 
 5.89 

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