Correlation Between Marimaca Copper and Costco Wholesale
Can any of the company-specific risk be diversified away by investing in both Marimaca Copper and Costco Wholesale 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 Marimaca Copper and Costco Wholesale into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Marimaca Copper Corp and Costco Wholesale Corp, you can compare the effects of market volatilities on Marimaca Copper and Costco Wholesale 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 Marimaca Copper with a short position of Costco Wholesale. Check out your portfolio center. Please also check ongoing floating volatility patterns of Marimaca Copper and Costco Wholesale.
Diversification Opportunities for Marimaca Copper and Costco Wholesale
0.7 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Marimaca and Costco is 0.7. Overlapping area represents the amount of risk that can be diversified away by holding Marimaca Copper Corp and Costco Wholesale Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Costco Wholesale Corp and Marimaca 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 Marimaca Copper Corp are associated (or correlated) with Costco Wholesale. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Costco Wholesale Corp has no effect on the direction of Marimaca Copper i.e., Marimaca Copper and Costco Wholesale go up and down completely randomly.
Pair Corralation between Marimaca Copper and Costco Wholesale
Assuming the 90 days trading horizon Marimaca Copper Corp is expected to generate 3.0 times more return on investment than Costco Wholesale. However, Marimaca Copper is 3.0 times more volatile than Costco Wholesale Corp. It trades about 0.14 of its potential returns per unit of risk. Costco Wholesale Corp is currently generating about 0.06 per unit of risk. If you would invest 383.00 in Marimaca Copper Corp on September 23, 2024 and sell it today you would earn a total of 112.00 from holding Marimaca Copper Corp or generate 29.24% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Marimaca Copper Corp vs. Costco Wholesale Corp
Performance |
Timeline |
Marimaca Copper Corp |
Costco Wholesale Corp |
Marimaca Copper and Costco Wholesale Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Marimaca Copper and Costco Wholesale
The main advantage of trading using opposite Marimaca Copper and Costco Wholesale positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Marimaca Copper position performs unexpectedly, Costco Wholesale 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 Costco Wholesale will offset losses from the drop in Costco Wholesale's long position.Marimaca Copper vs. Ero Copper Corp | Marimaca Copper vs. Dore Copper Mining | Marimaca Copper vs. QC Copper and | Marimaca Copper vs. Arizona Sonoran Copper |
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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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