Correlation Between Kap Industrial and Copper 360
Can any of the company-specific risk be diversified away by investing in both Kap Industrial and Copper 360 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 Kap Industrial and Copper 360 into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Kap Industrial Holdings and Copper 360, you can compare the effects of market volatilities on Kap Industrial and Copper 360 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 Kap Industrial with a short position of Copper 360. Check out your portfolio center. Please also check ongoing floating volatility patterns of Kap Industrial and Copper 360.
Diversification Opportunities for Kap Industrial and Copper 360
0.35 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Kap and Copper is 0.35. Overlapping area represents the amount of risk that can be diversified away by holding Kap Industrial Holdings and Copper 360 in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Copper 360 and Kap Industrial 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 Kap Industrial Holdings are associated (or correlated) with Copper 360. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Copper 360 has no effect on the direction of Kap Industrial i.e., Kap Industrial and Copper 360 go up and down completely randomly.
Pair Corralation between Kap Industrial and Copper 360
Assuming the 90 days trading horizon Kap Industrial Holdings is expected to generate 0.83 times more return on investment than Copper 360. However, Kap Industrial Holdings is 1.21 times less risky than Copper 360. It trades about -0.12 of its potential returns per unit of risk. Copper 360 is currently generating about -0.18 per unit of risk. If you would invest 33,700 in Kap Industrial Holdings on August 30, 2024 and sell it today you would lose (1,800) from holding Kap Industrial Holdings or give up 5.34% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Weak |
| Accuracy | 95.65% |
| Values | Daily Returns |
Kap Industrial Holdings vs. Copper 360
Performance |
| Timeline |
| Kap Industrial Holdings |
| Copper 360 |
Kap Industrial and Copper 360 Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Kap Industrial and Copper 360
The main advantage of trading using opposite Kap Industrial and Copper 360 positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Kap Industrial position performs unexpectedly, Copper 360 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 Copper 360 will offset losses from the drop in Copper 360's long position.| Kap Industrial vs. Bytes Technology | Kap Industrial vs. Reinet Investments SCA | Kap Industrial vs. Brimstone Investment | Kap Industrial vs. Deneb Investments |
| Copper 360 vs. British American Tobacco | Copper 360 vs. Anglo American PLC | Copper 360 vs. Anglo American Platinum | Copper 360 vs. ABSA Bank Limited |
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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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