Correlation Between MC Mining and ArcelorMittal South
Can any of the company-specific risk be diversified away by investing in both MC Mining and ArcelorMittal South 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 MC Mining and ArcelorMittal South into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between MC Mining and ArcelorMittal South Africa, you can compare the effects of market volatilities on MC Mining and ArcelorMittal South 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 MC Mining with a short position of ArcelorMittal South. Check out your portfolio center. Please also check ongoing floating volatility patterns of MC Mining and ArcelorMittal South.
Diversification Opportunities for MC Mining and ArcelorMittal South
0.2 | Correlation Coefficient |
Modest diversification
The 3 months correlation between MCZ and ArcelorMittal is 0.2. Overlapping area represents the amount of risk that can be diversified away by holding MC Mining and ArcelorMittal South Africa in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on ArcelorMittal South and MC Mining 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 MC Mining are associated (or correlated) with ArcelorMittal South. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of ArcelorMittal South has no effect on the direction of MC Mining i.e., MC Mining and ArcelorMittal South go up and down completely randomly.
Pair Corralation between MC Mining and ArcelorMittal South
Assuming the 90 days trading horizon MC Mining is expected to under-perform the ArcelorMittal South. But the stock apears to be less risky and, when comparing its historical volatility, MC Mining is 1.52 times less risky than ArcelorMittal South. The stock trades about -0.27 of its potential returns per unit of risk. The ArcelorMittal South Africa is currently generating about 0.02 of returns per unit of risk over similar time horizon. If you would invest 13,200 in ArcelorMittal South Africa on October 24, 2024 and sell it today you would lose (400.00) from holding ArcelorMittal South Africa or give up 3.03% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
MC Mining vs. ArcelorMittal South Africa
Performance |
Timeline |
MC Mining |
ArcelorMittal South |
MC Mining and ArcelorMittal South Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with MC Mining and ArcelorMittal South
The main advantage of trading using opposite MC Mining and ArcelorMittal South positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if MC Mining position performs unexpectedly, ArcelorMittal South 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 ArcelorMittal South will offset losses from the drop in ArcelorMittal South's long position.MC Mining vs. Safari Investments RSA | MC Mining vs. ABSA Bank Limited | MC Mining vs. Mantengu Mining | MC Mining vs. Zeder Investments |
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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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
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