Correlation Between SilverCrest Metals and McEwen Mining
Can any of the company-specific risk be diversified away by investing in both SilverCrest Metals and McEwen 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 SilverCrest Metals and McEwen Mining into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between SilverCrest Metals and McEwen Mining, you can compare the effects of market volatilities on SilverCrest Metals and McEwen 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 SilverCrest Metals with a short position of McEwen Mining. Check out your portfolio center. Please also check ongoing floating volatility patterns of SilverCrest Metals and McEwen Mining.
Diversification Opportunities for SilverCrest Metals and McEwen Mining
-0.47 | Correlation Coefficient |
Very good diversification
The 3 months correlation between SilverCrest and McEwen is -0.47. Overlapping area represents the amount of risk that can be diversified away by holding SilverCrest Metals and McEwen Mining in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on McEwen Mining and SilverCrest 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 SilverCrest Metals are associated (or correlated) with McEwen Mining. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of McEwen Mining has no effect on the direction of SilverCrest Metals i.e., SilverCrest Metals and McEwen Mining go up and down completely randomly.
Pair Corralation between SilverCrest Metals and McEwen Mining
Given the investment horizon of 90 days SilverCrest Metals is expected to generate 0.67 times more return on investment than McEwen Mining. However, SilverCrest Metals is 1.49 times less risky than McEwen Mining. It trades about 0.44 of its potential returns per unit of risk. McEwen Mining is currently generating about -0.12 per unit of risk. If you would invest 966.00 in SilverCrest Metals on November 28, 2024 and sell it today you would earn a total of 189.00 from holding SilverCrest Metals or generate 19.57% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 71.43% |
Values | Daily Returns |
SilverCrest Metals vs. McEwen Mining
Performance |
Timeline |
SilverCrest Metals |
Risk-Adjusted Performance
Modest
Weak | Strong |
McEwen Mining |
SilverCrest Metals and McEwen Mining Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with SilverCrest Metals and McEwen Mining
The main advantage of trading using opposite SilverCrest Metals and McEwen Mining positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SilverCrest Metals position performs unexpectedly, McEwen 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 McEwen Mining will offset losses from the drop in McEwen Mining's long position.SilverCrest Metals vs. Hecla Mining | SilverCrest Metals vs. McEwen Mining | SilverCrest Metals vs. Avino Silver Gold | SilverCrest Metals vs. Metalla Royalty Streaming |
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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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