Correlation Between Freeport McMoran and China Foods
Can any of the company-specific risk be diversified away by investing in both Freeport McMoran and China Foods 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 Freeport McMoran and China Foods into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Freeport McMoran Copper Gold and China Foods, you can compare the effects of market volatilities on Freeport McMoran and China Foods 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 Freeport McMoran with a short position of China Foods. Check out your portfolio center. Please also check ongoing floating volatility patterns of Freeport McMoran and China Foods.
Diversification Opportunities for Freeport McMoran and China Foods
0.4 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Freeport and China is 0.4. Overlapping area represents the amount of risk that can be diversified away by holding Freeport-McMoran Copper Gold and China Foods Ltd in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on China Foods and Freeport McMoran 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 Freeport McMoran Copper Gold are associated (or correlated) with China Foods. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of China Foods has no effect on the direction of Freeport McMoran i.e., Freeport McMoran and China Foods go up and down completely randomly.
Pair Corralation between Freeport McMoran and China Foods
Considering the 90-day investment horizon Freeport McMoran Copper Gold is expected to generate 1.92 times more return on investment than China Foods. However, Freeport McMoran is 1.92 times more volatile than China Foods. It trades about 0.03 of its potential returns per unit of risk. China Foods is currently generating about 0.01 per unit of risk. If you would invest 4,059 in Freeport McMoran Copper Gold on December 29, 2023 and sell it today you would earn a total of 529.00 from holding Freeport McMoran Copper Gold or generate 13.03% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 99.6% |
Values | Daily Returns |
Freeport-McMoran Copper Gold vs. China Foods Ltd
Performance |
Timeline |
Freeport-McMoran Copper |
China Foods |
Freeport McMoran and China Foods Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Freeport McMoran and China Foods
The main advantage of trading using opposite Freeport McMoran and China Foods positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Freeport McMoran position performs unexpectedly, China Foods 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 China Foods will offset losses from the drop in China Foods' long position.Freeport McMoran vs. Chemours Co | Freeport McMoran vs. Quanex Building Products | Freeport McMoran vs. FutureFuel Corp | Freeport McMoran vs. CF Industries Holdings |
China Foods vs. The Coca Cola | China Foods vs. PepsiCo | China Foods vs. Monster Beverage Corp | China Foods vs. Keurig Dr Pepper |
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 Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.
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