Correlation Between First Quantum and Perseus Mining
Can any of the company-specific risk be diversified away by investing in both First Quantum and Perseus Mining 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 First Quantum and Perseus Mining into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between First Quantum Minerals and Perseus Mining Limited, you can compare the effects of market volatilities on First Quantum and Perseus Mining 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 First Quantum with a short position of Perseus Mining. Check out your portfolio center. Please also check ongoing floating volatility patterns of First Quantum and Perseus Mining.
Diversification Opportunities for First Quantum and Perseus Mining
-0.16 | Correlation Coefficient |
Good diversification
The 3 months correlation between First and Perseus is -0.16. Overlapping area represents the amount of risk that can be diversified away by holding First Quantum Minerals and Perseus Mining Limited in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Perseus Mining and First Quantum 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 First Quantum Minerals are associated (or correlated) with Perseus Mining. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Perseus Mining has no effect on the direction of First Quantum i.e., First Quantum and Perseus Mining go up and down completely randomly.
Pair Corralation between First Quantum and Perseus Mining
Assuming the 90 days horizon First Quantum Minerals is expected to generate 1.57 times more return on investment than Perseus Mining. However, First Quantum is 1.57 times more volatile than Perseus Mining Limited. It trades about 0.07 of its potential returns per unit of risk. Perseus Mining Limited is currently generating about -0.06 per unit of risk. If you would invest 1,184 in First Quantum Minerals on October 6, 2024 and sell it today you would earn a total of 87.00 from holding First Quantum Minerals or generate 7.35% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
First Quantum Minerals vs. Perseus Mining Limited
Performance |
Timeline |
First Quantum Minerals |
Perseus Mining |
First Quantum and Perseus Mining Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with First Quantum and Perseus Mining
The main advantage of trading using opposite First Quantum and Perseus Mining positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if First Quantum position performs unexpectedly, Perseus Mining 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 Perseus Mining will offset losses from the drop in Perseus Mining's long position.First Quantum vs. Singapore Telecommunications Limited | First Quantum vs. CONTAGIOUS GAMING INC | First Quantum vs. Shenandoah Telecommunications | First Quantum vs. GAMESTOP |
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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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