Correlation Between Wheaton Precious and Cornish Metals
Can any of the company-specific risk be diversified away by investing in both Wheaton Precious and Cornish 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 Wheaton Precious and Cornish Metals 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 Cornish Metals, you can compare the effects of market volatilities on Wheaton Precious and Cornish 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 Wheaton Precious with a short position of Cornish Metals. Check out your portfolio center. Please also check ongoing floating volatility patterns of Wheaton Precious and Cornish Metals.
Diversification Opportunities for Wheaton Precious and Cornish Metals
0.65 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Wheaton and Cornish is 0.65. Overlapping area represents the amount of risk that can be diversified away by holding Wheaton Precious Metals and Cornish Metals in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Cornish Metals 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 Cornish Metals. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Cornish Metals has no effect on the direction of Wheaton Precious i.e., Wheaton Precious and Cornish Metals go up and down completely randomly.
Pair Corralation between Wheaton Precious and Cornish Metals
Assuming the 90 days trading horizon Wheaton Precious is expected to generate 6.68 times less return on investment than Cornish Metals. But when comparing it to its historical volatility, Wheaton Precious Metals is 1.52 times less risky than Cornish Metals. It trades about 0.04 of its potential returns per unit of risk. Cornish Metals is currently generating about 0.16 of returns per unit of risk over similar time horizon. If you would invest 670.00 in Cornish Metals on September 15, 2024 and sell it today you would earn a total of 255.00 from holding Cornish Metals or generate 38.06% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Wheaton Precious Metals vs. Cornish Metals
Performance |
Timeline |
Wheaton Precious Metals |
Cornish Metals |
Wheaton Precious and Cornish Metals Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Wheaton Precious and Cornish Metals
The main advantage of trading using opposite Wheaton Precious and Cornish Metals positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Wheaton Precious position performs unexpectedly, Cornish 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 Cornish Metals will offset losses from the drop in Cornish Metals' long position.Wheaton Precious vs. AIM ImmunoTech | Wheaton Precious vs. Gaming Realms plc | Wheaton Precious vs. Addtech | Wheaton Precious vs. Park Hotels Resorts |
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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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
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