Correlation Between SASOL and BorgWarner
Specify exactly 2 symbols:
By analyzing existing cross correlation between SASOL 4375 18 SEP 26 and BorgWarner, you can compare the effects of market volatilities on SASOL and BorgWarner 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 BorgWarner. Check out your portfolio center. Please also check ongoing floating volatility patterns of SASOL and BorgWarner.
Diversification Opportunities for SASOL and BorgWarner
0.34 | Correlation Coefficient |
Weak diversification
The 3 months correlation between SASOL and BorgWarner is 0.34. Overlapping area represents the amount of risk that can be diversified away by holding SASOL 4375 18 SEP 26 and BorgWarner in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on BorgWarner 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 4375 18 SEP 26 are associated (or correlated) with BorgWarner. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of BorgWarner has no effect on the direction of SASOL i.e., SASOL and BorgWarner go up and down completely randomly.
Pair Corralation between SASOL and BorgWarner
Assuming the 90 days trading horizon SASOL 4375 18 SEP 26 is expected to under-perform the BorgWarner. But the bond apears to be less risky and, when comparing its historical volatility, SASOL 4375 18 SEP 26 is 6.0 times less risky than BorgWarner. The bond trades about -0.22 of its potential returns per unit of risk. The BorgWarner is currently generating about 0.08 of returns per unit of risk over similar time horizon. If you would invest 3,345 in BorgWarner on September 3, 2024 and sell it today you would earn a total of 87.00 from holding BorgWarner or generate 2.6% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 60.0% |
Values | Daily Returns |
SASOL 4375 18 SEP 26 vs. BorgWarner
Performance |
Timeline |
SASOL 4375 18 |
BorgWarner |
SASOL and BorgWarner Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with SASOL and BorgWarner
The main advantage of trading using opposite SASOL and BorgWarner positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SASOL position performs unexpectedly, BorgWarner 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 BorgWarner will offset losses from the drop in BorgWarner's long position.SASOL vs. BorgWarner | SASOL vs. Amkor Technology | SASOL vs. Lipocine | SASOL vs. American Axle Manufacturing |
BorgWarner vs. Allison Transmission Holdings | BorgWarner vs. Aptiv PLC | BorgWarner vs. LKQ Corporation | BorgWarner vs. Lear Corporation |
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 Idea Optimizer module to use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio .
Other Complementary Tools
CEOs Directory Screen CEOs from public companies around the world | |
Cryptocurrency Center Build and monitor diversified portfolio of extremely risky digital assets and cryptocurrency | |
Price Exposure Probability Analyze equity upside and downside potential for a given time horizon across multiple markets | |
Portfolio Volatility Check portfolio volatility and analyze historical return density to properly model market risk | |
Alpha Finder Use alpha and beta coefficients to find investment opportunities after accounting for the risk |