Correlation Between Sasol and ArcelorMittal South
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By analyzing existing cross correlation between Sasol Ltd Bee and ArcelorMittal South Africa, you can compare the effects of market volatilities on Sasol 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 Sasol with a short position of ArcelorMittal South. Check out your portfolio center. Please also check ongoing floating volatility patterns of Sasol and ArcelorMittal South.
Diversification Opportunities for Sasol and ArcelorMittal South
0.32 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Sasol and ArcelorMittal is 0.32. Overlapping area represents the amount of risk that can be diversified away by holding Sasol Ltd Bee and ArcelorMittal South Africa in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on ArcelorMittal South and Sasol 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 Sasol Ltd Bee 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 Sasol i.e., Sasol and ArcelorMittal South go up and down completely randomly.
Pair Corralation between Sasol and ArcelorMittal South
Assuming the 90 days trading horizon Sasol Ltd Bee is expected to under-perform the ArcelorMittal South. But the etf apears to be less risky and, when comparing its historical volatility, Sasol Ltd Bee is 3.18 times less risky than ArcelorMittal South. The etf trades about -0.18 of its potential returns per unit of risk. The ArcelorMittal South Africa is currently generating about 0.03 of returns per unit of risk over similar time horizon. If you would invest 12,500 in ArcelorMittal South Africa on September 14, 2024 and sell it today you would earn a total of 200.00 from holding ArcelorMittal South Africa or generate 1.6% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 98.44% |
Values | Daily Returns |
Sasol Ltd Bee vs. ArcelorMittal South Africa
Performance |
Timeline |
Sasol Ltd Bee |
ArcelorMittal South |
Sasol and ArcelorMittal South Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Sasol and ArcelorMittal South
The main advantage of trading using opposite Sasol and ArcelorMittal South positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Sasol 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.The idea behind Sasol Ltd Bee and ArcelorMittal South Africa pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.ArcelorMittal South vs. Kumba Iron Ore | ArcelorMittal South vs. Argent | ArcelorMittal South vs. Sasol Ltd Bee | ArcelorMittal South vs. Centaur Bci Balanced |
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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