Correlation Between Atalaya Mining and Silvercorp Metals
Can any of the company-specific risk be diversified away by investing in both Atalaya Mining and Silvercorp Metals 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 Atalaya Mining and Silvercorp Metals into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Atalaya Mining and Silvercorp Metals, you can compare the effects of market volatilities on Atalaya Mining and Silvercorp Metals 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 Atalaya Mining with a short position of Silvercorp Metals. Check out your portfolio center. Please also check ongoing floating volatility patterns of Atalaya Mining and Silvercorp Metals.
Diversification Opportunities for Atalaya Mining and Silvercorp Metals
0.11 | Correlation Coefficient |
Average diversification
The 3 months correlation between Atalaya and Silvercorp is 0.11. Overlapping area represents the amount of risk that can be diversified away by holding Atalaya Mining and Silvercorp Metals in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Silvercorp Metals and Atalaya Mining 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 Atalaya Mining are associated (or correlated) with Silvercorp Metals. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Silvercorp Metals has no effect on the direction of Atalaya Mining i.e., Atalaya Mining and Silvercorp Metals go up and down completely randomly.
Pair Corralation between Atalaya Mining and Silvercorp Metals
Assuming the 90 days trading horizon Atalaya Mining is expected to generate 1.32 times less return on investment than Silvercorp Metals. But when comparing it to its historical volatility, Atalaya Mining is 1.34 times less risky than Silvercorp Metals. It trades about 0.07 of its potential returns per unit of risk. Silvercorp Metals is currently generating about 0.07 of returns per unit of risk over similar time horizon. If you would invest 281.00 in Silvercorp Metals on June 18, 2024 and sell it today you would earn a total of 263.00 from holding Silvercorp Metals or generate 93.59% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 81.33% |
Values | Daily Returns |
Atalaya Mining vs. Silvercorp Metals
Performance |
Timeline |
Atalaya Mining |
Silvercorp Metals |
Atalaya Mining and Silvercorp Metals Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Atalaya Mining and Silvercorp Metals
The main advantage of trading using opposite Atalaya Mining and Silvercorp Metals positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Atalaya Mining position performs unexpectedly, Silvercorp Metals 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 Silvercorp Metals will offset losses from the drop in Silvercorp Metals' long position.Atalaya Mining vs. Givaudan SA | Atalaya Mining vs. Antofagasta PLC | Atalaya Mining vs. Centamin PLC | Atalaya Mining vs. EVRAZ plc |
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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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