Correlation Between Western Copper and Kingboard Chemical
Can any of the company-specific risk be diversified away by investing in both Western Copper and Kingboard Chemical 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 Kingboard Chemical 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 Kingboard Chemical Holdings, you can compare the effects of market volatilities on Western Copper and Kingboard Chemical 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 Kingboard Chemical. Check out your portfolio center. Please also check ongoing floating volatility patterns of Western Copper and Kingboard Chemical.
Diversification Opportunities for Western Copper and Kingboard Chemical
-0.63 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Western and Kingboard is -0.63. Overlapping area represents the amount of risk that can be diversified away by holding Western Copper and and Kingboard Chemical Holdings in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Kingboard Chemical 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 Kingboard Chemical. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Kingboard Chemical has no effect on the direction of Western Copper i.e., Western Copper and Kingboard Chemical go up and down completely randomly.
Pair Corralation between Western Copper and Kingboard Chemical
Considering the 90-day investment horizon Western Copper and is expected to generate 10.43 times more return on investment than Kingboard Chemical. However, Western Copper is 10.43 times more volatile than Kingboard Chemical Holdings. It trades about 0.0 of its potential returns per unit of risk. Kingboard Chemical Holdings is currently generating about 0.0 per unit of risk. If you would invest 122.00 in Western Copper and on October 9, 2024 and sell it today you would lose (12.00) from holding Western Copper and or give up 9.84% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Western Copper and vs. Kingboard Chemical Holdings
Performance |
Timeline |
Western Copper |
Kingboard Chemical |
Western Copper and Kingboard Chemical Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Western Copper and Kingboard Chemical
The main advantage of trading using opposite Western Copper and Kingboard Chemical positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Western Copper position performs unexpectedly, Kingboard Chemical 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 Kingboard Chemical will offset losses from the drop in Kingboard Chemical's long position.Western Copper vs. Fury Gold Mines | Western Copper vs. EMX Royalty Corp | Western Copper vs. Nevada King Gold | Western Copper vs. Aftermath Silver |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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