Correlation Between Sugar and Copper
Can any of the company-specific risk be diversified away by investing in both Sugar and Copper 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 Sugar and Copper into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Sugar and Copper, you can compare the effects of market volatilities on Sugar and Copper 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 Sugar with a short position of Copper. Check out your portfolio center. Please also check ongoing floating volatility patterns of Sugar and Copper.
Diversification Opportunities for Sugar and Copper
Average diversification
The 3 months correlation between Sugar and Copper is 0.13. Overlapping area represents the amount of risk that can be diversified away by holding Sugar and Copper in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Copper and Sugar 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 Sugar are associated (or correlated) with Copper. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Copper has no effect on the direction of Sugar i.e., Sugar and Copper go up and down completely randomly.
Pair Corralation between Sugar and Copper
Assuming the 90 days horizon Sugar is expected to generate 9.49 times less return on investment than Copper. In addition to that, Sugar is 1.27 times more volatile than Copper. It trades about 0.02 of its total potential returns per unit of risk. Copper is currently generating about 0.27 per unit of volatility. If you would invest 413.00 in Copper on December 26, 2024 and sell it today you would earn a total of 109.00 from holding Copper or generate 26.39% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Sugar vs. Copper
Performance |
Timeline |
Sugar |
Copper |
Sugar and Copper Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Sugar and Copper
The main advantage of trading using opposite Sugar and Copper positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Sugar position performs unexpectedly, Copper 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 Copper will offset losses from the drop in Copper's long position.Sugar vs. Live Cattle Futures | Sugar vs. Micro Gold Futures | Sugar vs. US Dollar | Sugar vs. Aluminum Futures |
Copper vs. E Mini SP 500 | Copper vs. Aluminum Futures | Copper vs. Soybean Meal Futures | Copper vs. Nasdaq 100 |
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 Sign In To Macroaxis module to sign in to explore Macroaxis' wealth optimization platform and fintech modules.
Other Complementary Tools
Money Flow Index Determine momentum by analyzing Money Flow Index and other technical indicators | |
Portfolio Comparator Compare the composition, asset allocations and performance of any two portfolios in your account | |
Commodity Channel Use Commodity Channel Index to analyze current equity momentum | |
Analyst Advice Analyst recommendations and target price estimates broken down by several categories | |
ETF Categories List of ETF categories grouped based on various criteria, such as the investment strategy or type of investments |