Correlation Between Imperial Metals and Marimaca Copper
Can any of the company-specific risk be diversified away by investing in both Imperial Metals and Marimaca Copper 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 Imperial Metals and Marimaca Copper into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Imperial Metals and Marimaca Copper Corp, you can compare the effects of market volatilities on Imperial Metals and Marimaca Copper 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 Imperial Metals with a short position of Marimaca Copper. Check out your portfolio center. Please also check ongoing floating volatility patterns of Imperial Metals and Marimaca Copper.
Diversification Opportunities for Imperial Metals and Marimaca Copper
-0.33 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Imperial and Marimaca is -0.33. Overlapping area represents the amount of risk that can be diversified away by holding Imperial Metals and Marimaca Copper Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Marimaca Copper Corp and Imperial Metals 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 Imperial Metals are associated (or correlated) with Marimaca Copper. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Marimaca Copper Corp has no effect on the direction of Imperial Metals i.e., Imperial Metals and Marimaca Copper go up and down completely randomly.
Pair Corralation between Imperial Metals and Marimaca Copper
Assuming the 90 days trading horizon Imperial Metals is expected to under-perform the Marimaca Copper. But the stock apears to be less risky and, when comparing its historical volatility, Imperial Metals is 1.19 times less risky than Marimaca Copper. The stock trades about -0.06 of its potential returns per unit of risk. The Marimaca Copper Corp is currently generating about 0.14 of returns per unit of risk over similar time horizon. If you would invest 391.00 in Marimaca Copper Corp on October 9, 2024 and sell it today you would earn a total of 112.00 from holding Marimaca Copper Corp or generate 28.64% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 98.36% |
Values | Daily Returns |
Imperial Metals vs. Marimaca Copper Corp
Performance |
Timeline |
Imperial Metals |
Marimaca Copper Corp |
Imperial Metals and Marimaca Copper Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Imperial Metals and Marimaca Copper
The main advantage of trading using opposite Imperial Metals and Marimaca Copper positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Imperial Metals position performs unexpectedly, Marimaca Copper 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 Marimaca Copper will offset losses from the drop in Marimaca Copper's long position.Imperial Metals vs. Taseko Mines | Imperial Metals vs. Mountain Boy Minerals | Imperial Metals vs. iMetal Resources | Imperial Metals vs. Western Copper and |
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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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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