US Dollar Correlations

DXUSD Commodity   102.91  0.12  0.12%   
The current 90-days correlation between US Dollar and 30 Year Treasury is -0.16 (i.e., Good diversification). The correlation of US Dollar 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.

US Dollar Correlation With Market

Significant diversification

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

Moving together with DXUSD Commodity

  0.67AMZN Amazon IncPairCorr
  0.74GOOG Alphabet Class CPairCorr

Moving against DXUSD Commodity

  0.78LFAK Stone Ridge 2052PairCorr
  0.76VRTX Vertex PharmaceuticalsPairCorr
  0.74BRK-A Berkshire HathawayPairCorr
  0.73STPZ PIMCO 1 5PairCorr
  0.72VTR Ventas IncPairCorr
  0.72DPMLF Dundee Precious MetalsPairCorr
  0.72DTEGF Deutsche TelekomPairCorr
  0.7SGBAF SES SAPairCorr
  0.7NYMT New York MortgagePairCorr
  0.64INFN InfineraPairCorr
  0.64UZD United States CellularPairCorr
  0.58ALTM Arcadium Lithium plcPairCorr
  0.56SPDN Direxion Daily SPPairCorr
  0.52DE Deere CompanyPairCorr
  0.43BMYMP Bristol Myers SquibbPairCorr
  0.41SPYD SPDR Portfolio SPPairCorr
  0.34LIXTW Lixte BiotechnologyPairCorr
  0.8IEF iShares 7 10PairCorr
  0.8RMAHX American Funds MortgagePairCorr
  0.79PYELX Payden Emerging MarketsPairCorr
  0.77GSAGX Goldman Sachs AsiaPairCorr
  0.77PUCPX Pimco Unconstrained BondPairCorr
  0.76KSTR KraneShares SSE STARPairCorr
  0.76RFBSX Short Duration BondPairCorr
  0.75FFBBX American Funds CorporatePairCorr
  0.74UMNIX Lazard Short DurationPairCorr
  0.73DFSD Dimensional ETF TrustPairCorr
  0.7BRZKX Blackrock Advantage EsgPairCorr
  0.69SPTL SPDR Barclays LongPairCorr

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   
CLUSDBZUSD
BZUSDHOUSD
CLUSDHOUSD
LBUSDZBUSD
LEUSXLBUSD
LEUSXZBUSD
  
High negative correlations   
CLUSDZBUSD
BZUSDZBUSD
LBUSDCLUSD
LBUSDBZUSD
HOUSDZBUSD
LBUSDHOUSD

Risk-Adjusted Indicators

There is a big difference between DXUSD Commodity performing well and US Dollar Commodity 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 US Dollar'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.

US Dollar Related Commodities

One prevalent trading approach among algorithmic traders in the commodities sector involves employing market-neutral strategies, wherein each trade is designed to hedge away specific risks. Given that this approach necessitates two distinct transactions, if one position underperforms unexpectedly, the other can potentially offset some of the losses. This method can be applied to commodities such as US Dollar, pairing it with other commodities or financial instruments to create a balanced, market-neutral setup.
 Risk & Return  Correlation