Correlation Between Cotton and Lumber Futures
Can any of the company-specific risk be diversified away by investing in both Cotton and Lumber Futures 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 Cotton and Lumber Futures into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Cotton and Lumber Futures, you can compare the effects of market volatilities on Cotton and Lumber Futures 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 Cotton with a short position of Lumber Futures. Check out your portfolio center. Please also check ongoing floating volatility patterns of Cotton and Lumber Futures.
Diversification Opportunities for Cotton and Lumber Futures
-0.43 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Cotton and Lumber is -0.43. Overlapping area represents the amount of risk that can be diversified away by holding Cotton and Lumber Futures in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Lumber Futures and Cotton 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 Cotton are associated (or correlated) with Lumber Futures. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Lumber Futures has no effect on the direction of Cotton i.e., Cotton and Lumber Futures go up and down completely randomly.
Pair Corralation between Cotton and Lumber Futures
Assuming the 90 days horizon Cotton is expected to under-perform the Lumber Futures. But the commodity apears to be less risky and, when comparing its historical volatility, Cotton is 1.69 times less risky than Lumber Futures. The commodity trades about -0.03 of its potential returns per unit of risk. The Lumber Futures is currently generating about 0.19 of returns per unit of risk over similar time horizon. If you would invest 55,450 in Lumber Futures on December 29, 2024 and sell it today you would earn a total of 12,550 from holding Lumber Futures or generate 22.63% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 96.88% |
Values | Daily Returns |
Cotton vs. Lumber Futures
Performance |
Timeline |
Cotton |
Lumber Futures |
Cotton and Lumber Futures Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Cotton and Lumber Futures
The main advantage of trading using opposite Cotton and Lumber Futures positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Cotton position performs unexpectedly, Lumber Futures 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 Lumber Futures will offset losses from the drop in Lumber Futures' long position.The idea behind Cotton and Lumber Futures 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.Lumber Futures vs. Cotton | Lumber Futures vs. Aluminum Futures | Lumber Futures vs. Live Cattle Futures | Lumber Futures vs. Micro Gold Futures |
Check out your portfolio center.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 Price Exposure Probability module to analyze equity upside and downside potential for a given time horizon across multiple markets.
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