Correlation Between Wheaton Precious and Atalaya Mining
Can any of the company-specific risk be diversified away by investing in both Wheaton Precious and Atalaya 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 Wheaton Precious and Atalaya Mining into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Wheaton Precious Metals and Atalaya Mining, you can compare the effects of market volatilities on Wheaton Precious and Atalaya 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 Wheaton Precious with a short position of Atalaya Mining. Check out your portfolio center. Please also check ongoing floating volatility patterns of Wheaton Precious and Atalaya Mining.
Diversification Opportunities for Wheaton Precious and Atalaya Mining
-0.24 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Wheaton and Atalaya is -0.24. Overlapping area represents the amount of risk that can be diversified away by holding Wheaton Precious Metals and Atalaya Mining in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Atalaya Mining and Wheaton Precious 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 Wheaton Precious Metals are associated (or correlated) with Atalaya Mining. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Atalaya Mining has no effect on the direction of Wheaton Precious i.e., Wheaton Precious and Atalaya Mining go up and down completely randomly.
Pair Corralation between Wheaton Precious and Atalaya Mining
Assuming the 90 days trading horizon Wheaton Precious Metals is expected to generate 1.13 times more return on investment than Atalaya Mining. However, Wheaton Precious is 1.13 times more volatile than Atalaya Mining. It trades about 0.06 of its potential returns per unit of risk. Atalaya Mining is currently generating about -0.01 per unit of risk. If you would invest 465,011 in Wheaton Precious Metals on September 12, 2024 and sell it today you would earn a total of 34,989 from holding Wheaton Precious Metals or generate 7.52% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Wheaton Precious Metals vs. Atalaya Mining
Performance |
Timeline |
Wheaton Precious Metals |
Atalaya Mining |
Wheaton Precious and Atalaya Mining Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Wheaton Precious and Atalaya Mining
The main advantage of trading using opposite Wheaton Precious and Atalaya Mining positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Wheaton Precious position performs unexpectedly, Atalaya 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 Atalaya Mining will offset losses from the drop in Atalaya Mining's long position.Wheaton Precious vs. Givaudan SA | Wheaton Precious vs. Antofagasta PLC | Wheaton Precious vs. Ferrexpo PLC | Wheaton Precious vs. Atalaya Mining |
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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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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