2 Year Correlations

Commodities . USA . 
Commodity . 2 Year T Note Futures
ZTUSD Commodity   102.74  0.05  0.05%   
The current 90-days correlation between 2 Year T and Natural Gas is 0.16 (i.e., Average diversification). The correlation of 2 Year 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.

2 Year Correlation With Market

Significant diversification

The correlation between 2 Year T Note Futures and DJI is 0.07 (i.e., Significant diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding 2 Year T Note Futures and DJI in the same portfolio, assuming nothing else is changed.
  
The ability to find closely correlated positions to 2 Year could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace 2 Year 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 2 Year - 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 2 Year T Note Futures to buy it.

Moving against ZTUSD Commodity

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  0.7SCHG Schwab Large CapPairCorr
  0.7SFYX SoFi Next 500PairCorr
  0.69LGPIX Large Cap GrowthPairCorr
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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   
DXUSD
+ 0.85
LBUSD
DCUSD
+ 0.83
ZFUSD
LBUSD
+ 0.8
NGUSD
RTYUSD
+ 0.8
LBUSD
PAUSD
+ 0.77
MGCUSD
DXUSD
+ 0.75
RTYUSD
  
High negative correlations   
DXUSD
- 0.94
ZFUSD
LBUSD
- 0.8
ZFUSD
DXUSD
- 0.76
DCUSD
RTYUSD
- 0.71
ZFUSD
LBUSD
- 0.65
DCUSD
RTYUSD
- 0.59
DCUSD

Risk-Adjusted Indicators

There is a big difference between ZTUSD Commodity performing well and 2 Year 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 2 Year'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
NGUSD  3.47  1.10  0.24 (1.67) 3.19 
(4.16)
 7.69 
(5.32)
 30.19 
ZFUSD  0.16 (0.04) 0.00  0.94  0.00 
 0.00 
 0.30 
(0.35)
 1.13 
MGCUSD  0.75  0.07 (0.06)(0.20) 1.16 
(0.72)
 1.39 
(1.84)
 5.19 
DCUSD  0.90 (0.18) 0.00 (0.45) 0.00 
 0.00 
 0.83 
(1.44)
 21.45 
PAUSD  2.40  0.05 (0.02) 0.41  2.56 
(2.72)
 4.51 
(3.68)
 15.36 
LBUSD  1.25  0.27  0.13  2.70  0.98 
(1.46)
 3.42 
(1.86)
 9.80 
RTYUSD  0.93 (0.01) 0.02  0.11  0.95 
(1.03)
 2.05 
(1.72)
 7.61 
HEUSX  1.03  0.05 (0.04)(4.79) 1.70 
(1.00)
 2.09 
(2.17)
 9.91 
DXUSD  0.30  0.07 (0.09) 0.62  0.00 
(0.32)
 0.52 
(0.46)
 2.35 
CTUSX  0.95  0.01 (0.08) 0.20  1.05 
(1.06)
 2.05 
(1.82)
 6.64 

2 Year 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 2 Year, pairing it with other commodities or financial instruments to create a balanced, market-neutral setup.
 Risk & Return  Correlation
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