Correlation Between Western Copper and Kiplin Metals
Can any of the company-specific risk be diversified away by investing in both Western Copper and Kiplin 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 Western Copper and Kiplin Metals into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Western Copper and and Kiplin Metals, you can compare the effects of market volatilities on Western Copper and Kiplin 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 Western Copper with a short position of Kiplin Metals. Check out your portfolio center. Please also check ongoing floating volatility patterns of Western Copper and Kiplin Metals.
Diversification Opportunities for Western Copper and Kiplin Metals
0.18 | Correlation Coefficient |
Average diversification
The 3 months correlation between Western and Kiplin is 0.18. Overlapping area represents the amount of risk that can be diversified away by holding Western Copper and and Kiplin Metals in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Kiplin Metals and Western Copper 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 Western Copper and are associated (or correlated) with Kiplin Metals. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Kiplin Metals has no effect on the direction of Western Copper i.e., Western Copper and Kiplin Metals go up and down completely randomly.
Pair Corralation between Western Copper and Kiplin Metals
Assuming the 90 days trading horizon Western Copper and is expected to generate 0.69 times more return on investment than Kiplin Metals. However, Western Copper and is 1.46 times less risky than Kiplin Metals. It trades about 0.09 of its potential returns per unit of risk. Kiplin Metals is currently generating about -0.13 per unit of risk. If you would invest 148.00 in Western Copper and on September 1, 2024 and sell it today you would earn a total of 9.00 from holding Western Copper and or generate 6.08% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Western Copper and vs. Kiplin Metals
Performance |
| Timeline |
| Western Copper |
| Kiplin Metals |
Western Copper and Kiplin Metals Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Western Copper and Kiplin Metals
The main advantage of trading using opposite Western Copper and Kiplin Metals positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Western Copper position performs unexpectedly, Kiplin 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 Kiplin Metals will offset losses from the drop in Kiplin Metals' long position.| Western Copper vs. Kiplin Metals | Western Copper vs. Pure Energy Minerals | Western Copper vs. Noram Lithium Corp | Western Copper vs. Minnova Corp |
| Kiplin Metals vs. First Majestic Silver | Kiplin Metals vs. Ivanhoe Energy | Kiplin Metals vs. Orezone Gold Corp | Kiplin Metals vs. Faraday Copper Corp |
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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