Correlation Between Wheat Futures and Cotton

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Can any of the company-specific risk be diversified away by investing in both Wheat Futures and Cotton at the same time? Although using a correlation coefficient on its own may not help to predict future stock returns, this module helps to understand the diversifiable risk of combining Wheat Futures and Cotton into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Wheat Futures and Cotton, you can compare the effects of market volatilities on Wheat Futures and Cotton and check how they will diversify away market risk if combined in the same portfolio for a given time horizon. You can also utilize pair trading strategies of matching a long position in Wheat Futures with a short position of Cotton. Check out your portfolio center. Please also check ongoing floating volatility patterns of Wheat Futures and Cotton.

Diversification Opportunities for Wheat Futures and Cotton

-0.34
  Correlation Coefficient

Very good diversification

The 3 months correlation between Wheat and Cotton is -0.34. Overlapping area represents the amount of risk that can be diversified away by holding Wheat Futures and Cotton in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Cotton and Wheat Futures is a relative statistical measure of the degree to which these equity instruments tend to move together. The correlation coefficient measures the extent to which returns on Wheat Futures are associated (or correlated) with Cotton. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Cotton has no effect on the direction of Wheat Futures i.e., Wheat Futures and Cotton go up and down completely randomly.

Pair Corralation between Wheat Futures and Cotton

Assuming the 90 days horizon Wheat Futures is expected to generate 1.81 times more return on investment than Cotton. However, Wheat Futures is 1.81 times more volatile than Cotton. It trades about 0.25 of its potential returns per unit of risk. Cotton is currently generating about 0.04 per unit of risk. If you would invest  55,325  in Wheat Futures on November 27, 2024 and sell it today you would earn a total of  5,625  from holding Wheat Futures or generate 10.17% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Against 
StrengthInsignificant
Accuracy100.0%
ValuesDaily Returns

Wheat Futures  vs.  Cotton

 Performance 
       Timeline  
Wheat Futures 

Risk-Adjusted Performance

OK

 
Weak
 
Strong
Compared to the overall equity markets, risk-adjusted returns on investments in Wheat Futures are ranked lower than 9 (%) of all global equities and portfolios over the last 90 days. In spite of fairly unsteady basic indicators, Wheat Futures may actually be approaching a critical reversion point that can send shares even higher in March 2025.
Cotton 

Risk-Adjusted Performance

Very Weak

 
Weak
 
Strong
Over the last 90 days Cotton has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of fairly strong basic indicators, Cotton is not utilizing all of its potentials. The latest stock price disturbance, may contribute to short-term losses for the investors.

Wheat Futures and Cotton Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Wheat Futures and Cotton

The main advantage of trading using opposite Wheat Futures and Cotton positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Wheat Futures position performs unexpectedly, Cotton can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Cotton will offset losses from the drop in Cotton's long position.
The idea behind Wheat Futures and Cotton pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.
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Note that this page's information should be used as a complementary analysis to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the ETF Categories module to list of ETF categories grouped based on various criteria, such as the investment strategy or type of investments.

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