Correlation Between Compagnie Plastic and Newmont
Can any of the company-specific risk be diversified away by investing in both Compagnie Plastic and Newmont 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 Compagnie Plastic and Newmont into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Compagnie Plastic Omnium and Newmont, you can compare the effects of market volatilities on Compagnie Plastic and Newmont 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 Compagnie Plastic with a short position of Newmont. Check out your portfolio center. Please also check ongoing floating volatility patterns of Compagnie Plastic and Newmont.
Diversification Opportunities for Compagnie Plastic and Newmont
-0.44 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Compagnie and Newmont is -0.44. Overlapping area represents the amount of risk that can be diversified away by holding Compagnie Plastic Omnium and Newmont in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Newmont and Compagnie Plastic 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 Compagnie Plastic Omnium are associated (or correlated) with Newmont. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Newmont has no effect on the direction of Compagnie Plastic i.e., Compagnie Plastic and Newmont go up and down completely randomly.
Pair Corralation between Compagnie Plastic and Newmont
Assuming the 90 days horizon Compagnie Plastic Omnium is expected to generate 1.12 times more return on investment than Newmont. However, Compagnie Plastic is 1.12 times more volatile than Newmont. It trades about 0.04 of its potential returns per unit of risk. Newmont is currently generating about -0.02 per unit of risk. If you would invest 926.00 in Compagnie Plastic Omnium on October 4, 2024 and sell it today you would earn a total of 74.00 from holding Compagnie Plastic Omnium or generate 7.99% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Compagnie Plastic Omnium vs. Newmont
Performance |
Timeline |
Compagnie Plastic Omnium |
Newmont |
Compagnie Plastic and Newmont Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Compagnie Plastic and Newmont
The main advantage of trading using opposite Compagnie Plastic and Newmont positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Compagnie Plastic position performs unexpectedly, Newmont 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 Newmont will offset losses from the drop in Newmont's long position.Compagnie Plastic vs. DENSO P ADR | Compagnie Plastic vs. LKQ Corporation | Compagnie Plastic vs. NMI Holdings | Compagnie Plastic vs. SIVERS SEMICONDUCTORS AB |
Newmont vs. SIVERS SEMICONDUCTORS AB | Newmont vs. Talanx AG | Newmont vs. Norsk Hydro ASA | Newmont vs. Volkswagen AG |
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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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