Correlation Between Nevada Copper and KGHM Polska
Can any of the company-specific risk be diversified away by investing in both Nevada Copper and KGHM Polska 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 Nevada Copper and KGHM Polska into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Nevada Copper Corp and KGHM Polska Miedz, you can compare the effects of market volatilities on Nevada Copper and KGHM Polska 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 Nevada Copper with a short position of KGHM Polska. Check out your portfolio center. Please also check ongoing floating volatility patterns of Nevada Copper and KGHM Polska.
Diversification Opportunities for Nevada Copper and KGHM Polska
-0.53 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Nevada and KGHM is -0.53. Overlapping area represents the amount of risk that can be diversified away by holding Nevada Copper Corp and KGHM Polska Miedz in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on KGHM Polska Miedz and Nevada Copper 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 Nevada Copper Corp are associated (or correlated) with KGHM Polska. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of KGHM Polska Miedz has no effect on the direction of Nevada Copper i.e., Nevada Copper and KGHM Polska go up and down completely randomly.
Pair Corralation between Nevada Copper and KGHM Polska
Assuming the 90 days horizon Nevada Copper Corp is expected to under-perform the KGHM Polska. In addition to that, Nevada Copper is 1.8 times more volatile than KGHM Polska Miedz. It trades about -0.06 of its total potential returns per unit of risk. KGHM Polska Miedz is currently generating about 0.27 per unit of volatility. If you would invest 2,592 in KGHM Polska Miedz on September 20, 2024 and sell it today you would earn a total of 1,297 from holding KGHM Polska Miedz or generate 50.04% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 20.89% |
Values | Daily Returns |
Nevada Copper Corp vs. KGHM Polska Miedz
Performance |
Timeline |
Nevada Copper Corp |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Very Weak
KGHM Polska Miedz |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Very Weak
Nevada Copper and KGHM Polska Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Nevada Copper and KGHM Polska
The main advantage of trading using opposite Nevada Copper and KGHM Polska positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Nevada Copper position performs unexpectedly, KGHM Polska 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 KGHM Polska will offset losses from the drop in KGHM Polska's long position.Nevada Copper vs. Ero Copper Corp | Nevada Copper vs. Copperbank Resources Corp | Nevada Copper vs. Copper Mountain Mining | Nevada Copper vs. CopperCorp Resources |
KGHM Polska vs. Bell Copper | KGHM Polska vs. Arizona Sonoran Copper | KGHM Polska vs. CopperCorp Resources | KGHM Polska vs. Dor Copper Mining |
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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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