Correlation Between Kap Industrial and Europa Metals
Can any of the company-specific risk be diversified away by investing in both Kap Industrial and Europa 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 Kap Industrial and Europa Metals 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 Europa Metals, you can compare the effects of market volatilities on Kap Industrial and Europa 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 Kap Industrial with a short position of Europa Metals. Check out your portfolio center. Please also check ongoing floating volatility patterns of Kap Industrial and Europa Metals.
Diversification Opportunities for Kap Industrial and Europa Metals
0.57 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Kap and Europa is 0.57. Overlapping area represents the amount of risk that can be diversified away by holding Kap Industrial Holdings and Europa Metals in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Europa Metals 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 Europa Metals. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Europa Metals has no effect on the direction of Kap Industrial i.e., Kap Industrial and Europa Metals go up and down completely randomly.
Pair Corralation between Kap Industrial and Europa Metals
Assuming the 90 days trading horizon Kap Industrial Holdings is expected to generate 0.31 times more return on investment than Europa Metals. However, Kap Industrial Holdings is 3.23 times less risky than Europa Metals. It trades about -0.11 of its potential returns per unit of risk. Europa Metals is currently generating about -0.05 per unit of risk. If you would invest 34,400 in Kap Industrial Holdings on December 2, 2024 and sell it today you would lose (6,500) from holding Kap Industrial Holdings or give up 18.9% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Kap Industrial Holdings vs. Europa Metals
Performance |
Timeline |
Kap Industrial Holdings |
Europa Metals |
Kap Industrial and Europa Metals Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Kap Industrial and Europa Metals
The main advantage of trading using opposite Kap Industrial and Europa Metals positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Kap Industrial position performs unexpectedly, Europa 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 Europa Metals will offset losses from the drop in Europa Metals' long position.Kap Industrial vs. RCL Foods | Kap Industrial vs. Standard Bank Group | Kap Industrial vs. Astral Foods | Kap Industrial vs. Harmony Gold Mining |
Europa Metals vs. Master Drilling Group | Europa Metals vs. Lesaka Technologies | Europa Metals vs. Copper 360 | Europa Metals vs. Astoria Investments |
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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
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