Correlation Between Amarc Resources and Canadian Palladium
Can any of the company-specific risk be diversified away by investing in both Amarc Resources and Canadian Palladium 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 Amarc Resources and Canadian Palladium into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Amarc Resources and Canadian Palladium Resources, you can compare the effects of market volatilities on Amarc Resources and Canadian Palladium 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 Amarc Resources with a short position of Canadian Palladium. Check out your portfolio center. Please also check ongoing floating volatility patterns of Amarc Resources and Canadian Palladium.
Diversification Opportunities for Amarc Resources and Canadian Palladium
0.2 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Amarc and Canadian is 0.2. Overlapping area represents the amount of risk that can be diversified away by holding Amarc Resources and Canadian Palladium Resources in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Canadian Palladium and Amarc Resources 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 Amarc Resources are associated (or correlated) with Canadian Palladium. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Canadian Palladium has no effect on the direction of Amarc Resources i.e., Amarc Resources and Canadian Palladium go up and down completely randomly.
Pair Corralation between Amarc Resources and Canadian Palladium
Assuming the 90 days horizon Amarc Resources is expected to generate 0.36 times more return on investment than Canadian Palladium. However, Amarc Resources is 2.76 times less risky than Canadian Palladium. It trades about 0.13 of its potential returns per unit of risk. Canadian Palladium Resources is currently generating about 0.03 per unit of risk. If you would invest 38.00 in Amarc Resources on May 4, 2025 and sell it today you would earn a total of 12.00 from holding Amarc Resources or generate 31.58% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 98.41% |
Values | Daily Returns |
Amarc Resources vs. Canadian Palladium Resources
Performance |
Timeline |
Amarc Resources |
Canadian Palladium |
Amarc Resources and Canadian Palladium Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Amarc Resources and Canadian Palladium
The main advantage of trading using opposite Amarc Resources and Canadian Palladium positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Amarc Resources position performs unexpectedly, Canadian Palladium 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 Canadian Palladium will offset losses from the drop in Canadian Palladium's long position.Amarc Resources vs. Durango Resources | Amarc Resources vs. Avarone Metals | Amarc Resources vs. Pampa Metals | Amarc Resources vs. Sun Summit Minerals |
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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 Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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