Correlation Between Perseus Mining and Corning Incorporated
Can any of the company-specific risk be diversified away by investing in both Perseus Mining and Corning Incorporated 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 Perseus Mining and Corning Incorporated into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Perseus Mining Limited and Corning Incorporated, you can compare the effects of market volatilities on Perseus Mining and Corning Incorporated 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 Perseus Mining with a short position of Corning Incorporated. Check out your portfolio center. Please also check ongoing floating volatility patterns of Perseus Mining and Corning Incorporated.
Diversification Opportunities for Perseus Mining and Corning Incorporated
-0.21 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Perseus and Corning is -0.21. Overlapping area represents the amount of risk that can be diversified away by holding Perseus Mining Limited and Corning Incorporated in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Corning Incorporated and Perseus Mining 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 Perseus Mining Limited are associated (or correlated) with Corning Incorporated. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Corning Incorporated has no effect on the direction of Perseus Mining i.e., Perseus Mining and Corning Incorporated go up and down completely randomly.
Pair Corralation between Perseus Mining and Corning Incorporated
Assuming the 90 days horizon Perseus Mining Limited is expected to under-perform the Corning Incorporated. In addition to that, Perseus Mining is 2.0 times more volatile than Corning Incorporated. It trades about -0.12 of its total potential returns per unit of risk. Corning Incorporated is currently generating about -0.05 per unit of volatility. If you would invest 4,851 in Corning Incorporated on October 9, 2024 and sell it today you would lose (66.00) from holding Corning Incorporated or give up 1.36% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Perseus Mining Limited vs. Corning Incorporated
Performance |
Timeline |
Perseus Mining |
Corning Incorporated |
Perseus Mining and Corning Incorporated Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Perseus Mining and Corning Incorporated
The main advantage of trading using opposite Perseus Mining and Corning Incorporated positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Perseus Mining position performs unexpectedly, Corning Incorporated 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 Corning Incorporated will offset losses from the drop in Corning Incorporated's long position.Perseus Mining vs. Newmont Goldcorp Corp | Perseus Mining vs. Zijin Mining Group | Perseus Mining vs. Agnico Eagle Mines | Perseus Mining vs. Barrick Gold Corp |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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