Correlation Between Aluminum Futures and Heating Oil
Can any of the company-specific risk be diversified away by investing in both Aluminum Futures and Heating Oil 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 Aluminum Futures and Heating Oil into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Aluminum Futures and Heating Oil, you can compare the effects of market volatilities on Aluminum Futures and Heating Oil 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 Aluminum Futures with a short position of Heating Oil. Check out your portfolio center. Please also check ongoing floating volatility patterns of Aluminum Futures and Heating Oil.
Diversification Opportunities for Aluminum Futures and Heating Oil
0.28 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Aluminum and Heating is 0.28. Overlapping area represents the amount of risk that can be diversified away by holding Aluminum Futures and Heating Oil in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Heating Oil and Aluminum 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 Aluminum Futures are associated (or correlated) with Heating Oil. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Heating Oil has no effect on the direction of Aluminum Futures i.e., Aluminum Futures and Heating Oil go up and down completely randomly.
Pair Corralation between Aluminum Futures and Heating Oil
Assuming the 90 days trading horizon Aluminum Futures is expected to under-perform the Heating Oil. But the commodity apears to be less risky and, when comparing its historical volatility, Aluminum Futures is 1.47 times less risky than Heating Oil. The commodity trades about -0.04 of its potential returns per unit of risk. The Heating Oil is currently generating about -0.02 of returns per unit of risk over similar time horizon. If you would invest 230.00 in Heating Oil on December 30, 2024 and sell it today you would lose (7.00) from holding Heating Oil or give up 3.04% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Aluminum Futures vs. Heating Oil
Performance |
Timeline |
Aluminum Futures |
Heating Oil |
Aluminum Futures and Heating Oil Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Aluminum Futures and Heating Oil
The main advantage of trading using opposite Aluminum Futures and Heating Oil positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Aluminum Futures position performs unexpectedly, Heating Oil 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 Heating Oil will offset losses from the drop in Heating Oil's long position.Aluminum Futures vs. Natural Gas | Aluminum Futures vs. US Dollar | Aluminum Futures vs. Orange Juice | Aluminum Futures vs. Live Cattle Futures |
Heating Oil vs. Cotton | Heating Oil vs. Palladium | Heating Oil vs. Brent Crude Oil | Heating Oil vs. Live Cattle 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 Portfolio Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.
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